Mobile Business Intelligence: Analysis & Trends

This assignment delves into the world of Mobile Business Intelligence (BI). It requires a critical analysis of various mobile BI platforms, considering factors such as customer reviews, pricing, deployment options, and ease of use. Students are expected to assess the strengths and weaknesses of different platforms and identify key market trends shaping the mobile BI landscape.

Running head: CRITICAL ANALYSIS ON MOBILE INTELLIGENCE
Research Topic: Critical Analysis on Mobile business intelligence: the current state and
development perspectives in the UK
Name of the Student:
Name of the University:

1CRITICAL ANALYSIS ON MOBILE INTELLIGENCE
Abstract
In current era, the market of Smartphone and relative technology is expanding rapidly. Due to
richer user interface of Smartphone and its growing numbers, the Smartphone are becoming
workplace devices for recent development into the mobile business intelligence (BI). The
purpose of this study is to compare various mobile BI based on various parameters to analyze the
current state and development perspectives in the UK for using of mobile business intelligence.
It conducts a comparison of the development platforms, frameworks of mobile as well as
strategies to improve into the areas of concerns. The mobile technologies are an advantage when
it is accurately transmitted as well as absorbed by the data warehousing and mobile BI solutions
are provided analyze and support to the report. Mobile BI becomes popular into the business
since the advanced technology is evolved to make of mobile BI more cost efficient. The aim of
this research study is to create of requirements of mobile BI for exposing of the challenges,
evaluating of the improvements into the mobile devices in order to understand the future state of
the mobile BI. Findings from the research study demonstrate the requirements of the mobile BI
defined are required to study the necessities of the users.

2CRITICAL ANALYSIS ON MOBILE INTELLIGENCE
Acknowledgement
Conducting of work into research study increases and improves my knowledge along with
analytical ability. It provided me chances to face with the research challenges all the while in
addition to conquer with them. It is not possible to do work into the research study without
support from my professors, companions and every one of who have added to this advancing
knowledge. I will also want to thank my supervisor _________________ for helping me in my
research work and providing me enough support throughout the research processes. I would also
thank the participants to give time and help me out throughout the entire study. From the support
of people, I am encouraged to work on the research in this subject area. Finally, thank you to my
family members those help me and encourage me.
Thank You.

3CRITICAL ANALYSIS ON MOBILE INTELLIGENCE
Table of Contents
Chapter 1: Introduction....................................................................................................................8
1.1 Research Background............................................................................................................8
1.2 Research Aim and Objectives................................................................................................9
1.3 Research Questions..............................................................................................................10
1.4 Research Scope....................................................................................................................10
1.5 Research Outline..................................................................................................................11
Chapter 2: Literature Review.........................................................................................................13
2.1 Introduction.....................................................................................................................13
2.2 Mobile business intelligence................................................................................................13
2.3 Identification of areas of concern in the current market scenario of mobile business
intelligence of UK......................................................................................................................14
2.4 Parameters based on which the mobile business intelligence providers are judged............15
2.5 Strategies used to improve the identified concern in mobile business intelligence............17
2.6 Summary..............................................................................................................................18
Chapter 3: Research Methodology................................................................................................20
3.1 Introduction..........................................................................................................................20
3.2 Method outline.....................................................................................................................20

4CRITICAL ANALYSIS ON MOBILE INTELLIGENCE
3.3 Research philosophy............................................................................................................21
3.4 Research approach...............................................................................................................21
3.5 Research design...................................................................................................................22
3.6 Data collection.....................................................................................................................22
3.7 Data analysis........................................................................................................................24
3.8 Ethical considerations..........................................................................................................24
3.9 Research limitations.............................................................................................................25
3.10 Time horizons....................................................................................................................26
3.11 Summary............................................................................................................................27
Chapter 4: Data Collection and Analysis.......................................................................................28
4.1 Introduction..........................................................................................................................28
4.2 Compare the five stars rating mobile business providers....................................................28
4.3 Compare the 4.5 stars rating mobile business providers.....................................................35
4.4 Compare the four stars rating mobile business providers....................................................47
4.5 Compare the 3.5 and 3 stars rating mobile business providers............................................55
Chapter 5: Results and Discussion................................................................................................60
Chapter 6: Conclusion and Recommendations..............................................................................64

5CRITICAL ANALYSIS ON MOBILE INTELLIGENCE
6.1 Conclusion...........................................................................................................................64
6.2 Linking with the objectives.................................................................................................64
6.3 Recommendations................................................................................................................66
6.4 Limitations of the study.......................................................................................................66
6.5 Future scope of the study.....................................................................................................67
References......................................................................................................................................68
Appendix........................................................................................................................................72
1. Data analysis part...................................................................................................................72
1.1 Compare of various mobile business intelligence providers based on various parameters
...............................................................................................................................................72
1.2 Five start rating mobile BI providers...............................................................................79
1.3 4.5 start rating mobile BI providers.................................................................................80
1.4 4 start rating mobile BI providers....................................................................................84
1.5 3.5 and 3 star rating mobile BI providers........................................................................85

6CRITICAL ANALYSIS ON MOBILE INTELLIGENCE
Table of Figures
Figure 4.2.1: Five stars rating mobile business providers based on platform...............................29
Figure 4.2.2: Five stars rating mobile business providers based on deployment..........................31
Figure 4.2.3: Five stars rating mobile business providers based on business size........................33
Figure 4.2.4: Five stars rating mobile business providers based on price.....................................34
Figure 4.3.1: 4.5 stars rating mobile business providers based on platform.................................37
Figure 4.3.2: 4.5 stars rating mobile business providers based on deployment............................40
Figure 4.3.3: 4.5 stars rating mobile business providers based on business size..........................43
Figure 4.3.4: 4.5 stars rating mobile business providers based on price, ease of use, functionality,
product quality, customer support, value for money.....................................................................46
Figure 4.4.1: Four stars rating mobile business providers based on platform...............................48
Figure 4.4.2: Four stars rating mobile business providers based on deployment..........................50
Figure 4.4.3: Four stars rating mobile business providers based on deployment..........................52
Figure 4.4.4: 4 stars rating mobile business providers based on price, ease of use, functionality,
product quality, customer support, value for money.....................................................................54
Figure 4.5.1: 3.5 and 3 stars rating mobile business providers based on platform........................55
Figure 4.5.2: 3.5 and 3 stars rating mobile business providers based on deployment...................56
Figure 4.5.3 3.5 and 3 stars rating mobile business providers based on business size..................58
Figure 4.5.4: 3.5 and 3 stars rating mobile business providers based on price, ease of use,
functionality, product quality, customer support, value for money...............................................59

7CRITICAL ANALYSIS ON MOBILE INTELLIGENCE
Table of tables
Table 1: Gantt chart.......................................................................................................................27
Table 4.2.1: Five stars rating mobile business providers based on platform.................................29
Table 4.2.2: Five stars rating mobile business providers based on deployment............................30
Table 4.2.3: Five stars rating mobile business providers based on business size..........................33
Table 4.2.4: Five stars rating mobile business providers based on price......................................34
Table: 4.3.1: 4.5 stars rating mobile business providers based on platform..................................36
Table 4.3.2: 4.5 stars rating mobile business providers based on deployment..............................39
Table 4.3.3: 4.5 stars rating mobile business providers based on business size............................42
Table 4.3.4: 4.5 stars rating mobile business providers based on price, ease of use, functionality,
product quality, customer support, value for money.....................................................................45
Table 4.4.1: Four stars rating mobile business providers based on platform................................48
Table 4.4.2: Four stars rating mobile business providers based on deployment...........................49
Table 4.4.3: Four stars rating mobile business providers based on deployment...........................51
Table 4.4.4: 4 stars rating mobile business providers based on price, ease of use, functionality,
product quality, customer support, value for money.....................................................................53
Table 4.5.1: 3.5 and 3 stars rating mobile business providers based on platform.........................55
Table 4.5.2: 3.5 and 3 stars rating mobile business providers based on deployment....................56
Table 4.5.3 3.5 and 3 stars rating mobile business providers based on business size...................57
Table 4.5.4: 3.5 and 3 stars rating mobile business providers based on price, ease of use,
functionality, product quality, customer support, value for money...............................................59

8CRITICAL ANALYSIS ON MOBILE INTELLIGENCE
Chapter 1: Introduction
In this chapter, the research paper summarizes into the mobile business intelligence area.
This particular research consists of mobile business intelligence systems and challenges where
the quality of mobile business intelligence is being identified and also future directions into the
mobile devices are identified. This chapter discusses the research aims, objectives and research
questions based on which the entire study is conducted.
1.1 Research Background
The research study is based on investigating the current market scenario of the mobile
business intelligence into UK. Brodzinski et al. (2013) stated that mobile Business Intelligence
(BI) is such as system which comprised of technical as well as organizational elements which
present of historical along with real time information to the users for analyzing the mobile
strategies. Business intelligence defines to the computer based techniques which is used for
analyzing the business data such as the sales revenue as well as associated costs. Hou and Gao
(2017) concluded that various companies of UK are undertaking of business intelligence for their
business to own of higher efficiency into their business processes. Business intelligence offers
with the right information what the business requires. Tona and Carlsson (2014) represented that
mobile BI is single trend into the business intelligence. Advancement into the technology leads
to widespread adoptions across various platforms such as iOS, Android in addition to devices
like Smartphones and tablets. The research gap exists into role of mobile business intelligence
for the organizational development. The purpose of this study is to fill gap into the research by
conducting of general review and study on the mobile business intelligence. The purpose of this
research is to provide directions towards mobile commerce.

9CRITICAL ANALYSIS ON MOBILE INTELLIGENCE
Verkooij and Spruit (2013) argued that business intelligence is combination of the processes
as well as technologies for assisting the decision making. A conducted market research is being
done on various mobile business intelligence provider based on some important parameters such
as “customer review rating, platforms, price, deployment, business size, ease of use,
functionality, product quality, customer support, value for money and others”. The users of
mobile BI are corporate workers those are required of real time business data when they are out
of their office (Tona and Carlsson 2013). Some of the functionalities of mobile BI are it supports
in decision making, allows the users to effort when they are exterior of office, remains the
business processes, improves the flow of information and allows users to communicate with the
dashboards. Chan (2013) cited that the business drivers of mobile BI system are consisted of
business needs along with constraints on their functionalities. This system allows the users to
work both online as well as offline. This system works with regardless of their location and
information goes to right person in order to secure of confidential information (Lim, Chen and
Chen 2013). Along with its functionalities, the mobile devices can access of different network,
processing of information and storage mass.
1.2 Research Aim and Objectives
The aim of this study is to examine the current market scenario of Mobile Business
Intelligence in the UK and to identify the areas where further improvement needed. Various
mobile business intelligence providers are compared to each other based on parameters such as
“customer review rating, platforms, price, deployment, and business size, ease of use,
functionality, product quality, customer support, along with value for money”. The parameters
are taken into account based on secondary data which is available online using review sites of
different mobile business intelligence provider. The study is conducted based on past research

10CRITICAL ANALYSIS ON MOBILE INTELLIGENCE
works and reports which are related to the mobile business intelligence market. It helps to
understand the current market scenario in UK and areas of concern. Following are the research
objectives:
 To analyze the current market scenario and identify area of concerns
 To compare the Performance of existing mobile business intelligence providers with
respect to identified parameters
 To devise a strategy for improving the identified areas of concern
1.3 Research Questions
Following are the research questions:
1. How to identify the areas of concern in the current market scenario of mobile business
intelligence of UK?
2. What are the parameters based on which the mobile business intelligence providers are
judged?
3. What are the strategies used to improve the identified concern in mobile business
intelligence?
1.4 Research Scope
In the growth of technology area, mobile devices such as Smartphone, tablets are gained
a huge competitive advantage. Most of the devices are marketed for the personal communication
users and they have growing potential towards business intelligence platform. The scope of this
study is to compare various mobile business intelligence providers based on various parameters

11CRITICAL ANALYSIS ON MOBILE INTELLIGENCE
therefore the analyst can understand the improvement areas of them. In order to improve in those
areas, various control measures are to be taken. As new generations of tools are taking advantage
of better technology, therefore in this area mobile business intelligence is discussed in this paper
for providing interactive applications. The paper examines of mobile BI, highlights its adoption
trends and recommended of best practices to deliver better business intelligence to the mobile
users.
1.5 Research Outline
In order to conduct this research study on analyzing the mobile business intelligence for
investigating the current state and development in UK, six chapters are discussed:
Chapter 1: This chapter consists of research background, research aims, objectives and
questions to conduct the study. Research scope is also identified to understand the purpose of this
research study. It also discussed the area of concerns and strategies require improving identified
areas.
Chapter 2: Literature review summarizes the use of mobile business intelligence into the
business organizations and analyzed of various mobile BI providers based on some parameters.
A comparison study is conducted on the mobile business provider to understand their functions,
areas of concern and improvement areas.
Chapter 3: Research methodology is done by secondary data collection methods. In order
to conduct this study, various research works and reports on mobile business intelligence related
to UK market are analyzed. Various mobile business providers are analyzed from secondary data
available online.

12CRITICAL ANALYSIS ON MOBILE INTELLIGENCE
Chapter 4: The data analysis chapter provides data on mobile business provider and
based on collected data from website review of each providers, the business organization are
analyzed based on various factors and parameters. A comparison is done based on collected data
and information.
Chapter 5: In results and discussion chapter, all the data are analyzed so that the analyst
can identify the area of concerns. The results of comparative study are also discussed in this
particular chapter.
Chapter 6: Conclusion chapter concludes the study to focus on key points from the
analyzed results. It concludes of the strategies used to improve the concerned areas.

13CRITICAL ANALYSIS ON MOBILE INTELLIGENCE
Chapter 2: Literature Review
2.1 Introduction
This chapter is focused on examining the literature of the subject matter of the current
research study. At first the definitions of the mobile business intelligence is described in the
study. Then, the concepts are looked at various parameters on which the mobile business
intelligence providers are being judged. The literature review aims to answer to the identified
research questions. Business intelligence is such a term which is used to describe of the
technologies, applications as well as processes to gather, store, access and analyze of the data
which is better help to make of the better corporate related decisions. Dahlberg, Guo and Ondrus
(2015) analyzed that the business intelligence system is referred to take of proper decisions,
analyze the information as well as manage the knowledge.
2.2 Mobile business intelligence
Moro, Cortez and Rita (2015) stated that the mobile business intelligence (BI) is a system
which is composed of technical as well as organizational elements which provide of real time
information to the users on the mobile devices like Smartphone as well as tablets. The real time
information is used for well-organized decision making as well as support to the management in
order to raise the performance of the business. Arnott and Pervan (2014) argued that business
intelligence is a computer based procedures used to analyze the data of the business like sales
revenue, cost as well as organizational income. The mobile business intelligence applications are
offering of right information to the users when the organization is required it. According to
Laudon and Laudon (2016), mobile business intelligence is about to capture, understand, analyze

14CRITICAL ANALYSIS ON MOBILE INTELLIGENCE
and store of the raw data into information concern on improving the business. The BI system
consists of some features such as:
1. Online analytical process defines the way the end users are navigating throughout the
data along different dimensions (Kimble and Milolidakis 2015).
2. Advanced analytics to analyze the data using quantitative techniques to forecast and
observe the patterns.
3. Warehouse of data handles the integration of various organizational records to aggregate
and query the tasks (Baig, GholamHosseini and Connolly 2015).
4. Real time functions for real time analysis as well as information distribution.
The mobile BI system is dynamic in nature and over the time it is changing their role into the
organization. BI solutions are evolved into utilization of strategic planning, operational
management, and tracking of profitability of the organizational brands along with managing of
customer relationships (Fan, Lau and Zhao 2015). Over past decades, the construction of mobile
BI is much more general to imply of the aspects of different components of the decision making
frameworks.
2.3 Identification of areas of concern in the current market scenario of mobile
business intelligence of UK
Gandomi and Haider (2015) determined that over past decades, the mobile business
intelligence is revolutionized and the world is accessed to the cloud services. The mobile BI has
various advantages, besides there are also limitations of the mobile BI applications connected to
the physical kind of the mobile strategies. The areas of concern into the mobile BI are poor

15CRITICAL ANALYSIS ON MOBILE INTELLIGENCE
resolution such as maximum of 800*480 points. There are tiny screens which makes it
impossible to follow of the graphical details. There is low processing power with value of
maximum 1 GHZ. One of the biggest concerns of the organization is security of the mobile BI.
Wixom et al. (2014) illustrated that sometimes the unauthorized person can access to the data
and share it with others. The organization is required to secure the communication channels,
protect the data stored on the device and protect device from the unauthorized usages. It should
configure and execute the mobile solutions properly.
As the implementation of the mobile BI analytics is spreading more to the users into the
organization, therefore whether it is structured and unstructured, it is productive cost to the
organization. Mobile BI system is developing the technological ecosystems limited to the
structured and leaves the unstructured content to document as well as content of the management
system. Sharda, Delen and Turban (2013) analyzed that the customer data intelligence is
considered as major driver in the implementation of the data analytics to produce and pattern the
recognition with advanced data warehousing.
2.4 Parameters based on which the mobile business intelligence providers are
judged
Raghupathi and Raghupathi (2014) stated that the mobile BI applications are running on
the desktop machines which can retrieve as well as interpret of the data into the information in
structure of the visual charts as well as graphs to view the data. The workplace requires to access
to real data information to make a better business performance faster on the move. Android
operating system is used as expansion of platform for developing the mobile BI applications as it
is considered as open source platform. This type of conclusion is taken into account as inhabitant
mobile application needs of knowledge on the native programming languages. Erl, Khattak and

16CRITICAL ANALYSIS ON MOBILE INTELLIGENCE
Buhler (2016) argued that the development of application is not multi platform as it is not
functioning on various mobile operating systems. In the current marketplace of UK, there are
various mobile BI provides with are making a competitive advantage based on different
parameters. Following are the parameters based on which the service providers are compared to
identify their areas of improvement.
Customer review rating: It is a review of the mobile BI providers in form of the
customer feedback on the use of the devices (Kim, Trimi and Chung 2014). The reviews are
graded for accuracy of the users.
Price: Each of the mobile BI software have different pricing scheme based on its features
and recommendations to use.
Platform: Loebbecke and Picot (2015) stated that it is a computing platform in which the
software is executed. It is hardware and operating system, software or web browser. The
platform is the stage where the computer programs are running. There are different platforms for
different mobile BI software such as iOS, Windows and others.
Deployment: It is the activities which make the software system available for the users.
Business size: The business size is determined based on the number of employees,
average annual income which represents if the business is small, medium or large (Dedic and
Stanier 2016).
Ease of use: It is one of the aspects of software design such as user friendly, user
interface and others.

17CRITICAL ANALYSIS ON MOBILE INTELLIGENCE
Functionality: Fan, Lau and Zhao (2015) analyzed that the software provider
functionality is the quality of being suited to serve best purpose, range of the operations which
run on the computer system. It is the set of the functions which show the mobile BI provider has
capability associated with the computer software and hardware.
Product quality: Raghupathi and Raghupathi (2014) mentioned that it is a feature as
well as characteristics of the product which determine their desirability as well as controlled by
the mobile BI provider to meet with the business and market requirements. Most of the BI
providers provides of good product quality which monitors the outgoing products for
acceptability of the customers.
Customer support: Erl, Khattak and Buhler (2016) analyzed that it is the range of the
customer services assist the customers to make cost effective as well as correct use of the mobile
devices and product. It includes of proper assistance, training, maintenance, upgrdation and
installation.
Value for money: It is the utility which is derived from each purchase as well as each
sum of the money spent. It is the minimum purchase of the value but also provides with greatest
efficiency of the purchase (Baig, GholamHosseini and Connolly 2015).
Those are the parameters which are used to determine which of the mobile BI providers
are best operating into the UK market. All the chosen providers are from UK which analyzes the
current state and development perspectives into the selected marketplace. The selected mobile BI
providers are allowing both executives as well as personnel to reach the better decisions
efficiently with secured as well as personalized analytics.

18CRITICAL ANALYSIS ON MOBILE INTELLIGENCE
2.5 Strategies used to improve the identified concern in mobile business intelligence
The goal of the strategic business intelligence is to help the organization makes faster as
well as informed business decisions. Sharda, Delen and Turban (2013) concluded that the
business leaders are arriving into the mobile future and strategic business intelligence mitigates
to the smart devices. Based on the user, consumer as well as customer level, mobility is a top
concern for the business IT leaders. In order to secure the data, security strategy is used which
ensures that mobile BI users should connect, authenticate as well as access to the data from the
server of BI via web in real time. Reconnection should be guarded by strong username as well as
password authentications. A centralized authentication system is ensured for access to the reports
from the stolen device is disabled. Lazer et al. (2014) discussed that the way to create of
competitive advantage is to make of better decisions about the products, market, operations,
customers as well as competitors.
From the market study of UK mobile BI, Hartmann et al. (2016) suggested to select of
BI vendor to offer native applications for the Apple’s iPhone is significant. The chosen vendor
should be native support for the Apple devices. The Smartphone of Apple is chosen as the first
platform for the mobile BI. Dahlberg, Guo and Ondrus (2015) analyzed that a single authoring
environment is fundamental, which allows the information to deliver to the mobile users without
have to create separate set of BI views along with dashboards. The users can gain benefits of the
mobile BI in addition to experience to the power of the true mobile devices.
2.6 Summary
It is summarized that the business intelligence refers to the computer based techniques
which is used for analyzing the business data like sales revenue and associated costs. The
business drivers of mobile BI system are consisted of business needs along with constraints on

19CRITICAL ANALYSIS ON MOBILE INTELLIGENCE
their functionalities. This system allows the users to work both online as well as offline. Mobile
BI system is developing the technological ecosystems limited to the structured and leaves the
unstructured content to document as well as content of the management system. Android
operating system is used as development of platform for developing the mobile BI applications
as it is open source platform. Mobile BI analytics is spreading more to the users into the
organization, therefore whether it is structured and unstructured; it is productive cost to the
organization. With use of the mobile BI, it makes the business process easier. It views, analyzes
as well as acts on the content of business intelligence on the mobile devices, and there is no
change into the design. Most of the organization increases the use of mobile BI into their
operation with easier use of mobile application. The researcher stated that mobile business
intelligence enables to access of the BI data from the Smartphone and tablets.

20CRITICAL ANALYSIS ON MOBILE INTELLIGENCE
Chapter 3: Research Methodology
3.1 Introduction
Hair (2015) expressed that research methodology is characterized as efficient approach to
give answers for the research related issues. It is a science to study how the examination is being
completed. Smith (2015) contended that the research techniques are distinctive methodologies by
which the researcher did the exploration to describe, clarify and foresee the research
phenomenon. Zikmund et al. (2013) characterized it as the investigation of strategies by which
the research information is gained up and intended to give work design of the exploration. The
researcher has attempted to apply of point by point procedure of the exploration approach which
helps in better investigation of the use of mobile business intelligence for the development in
UK.
3.2 Method outline
In this particular chapter, detailed research strategies are utilized to investigate the current
state and development perspectives in the UK due to use of mobile BI for the organizational
operations. Positivism is selected as the research philosophy which increases of data in light of
gain of information into point. Deductive approach is utilized to enable the researcher to lead this
examination in view of the optional sources which help in analyzing the use of mobile business
intelligence into better method. The researcher design selected as descriptive, which is utilized to
enable the researcher to characterize the connected ideas in detailed way approach to help in
describing the effect of the investigation. Mainly, secondary sources are selected for this research
study; for example, internet and journal articles data of chose examine point alongside giving

21CRITICAL ANALYSIS ON MOBILE INTELLIGENCE
better nature of research examination. Mixed method is utilized as the data analysis method help
to record description type of information which incorporates of better clarification of the chosen
research topic.
3.3 Research philosophy
Sekaran and Bougie (2016) showed that research philosophy is identified with
improvement of the information and in addition nature of the learning. Appropriation of accurate
research philosophy makes assumption which permit comprehension of the chosen explores
point. In this specific research study is about positivism type of research philosophy, which is
utilized to better examination of hidden data and in addition data identified with the mobile
business intelligence in UK BI providers. Aside from this, this investigation is exceptionally time
constrained; therefore other research philosophies are discarded. Determination of the positivism
philosophy restrains the part of the researcher to assess the information that leads towards
lessening of information mistakes.
3.4 Research approach
In this section, research approach is discussed which is required to give inputs into
analyzing the mobile BI for current state and development of mobile applications in UK.
Deductive approach is depicted in this research study as the practical analysis of the theories to
access the content of chosen research paper. It means to work of theories with comprehensive
data and ideas of the information examination. In this specific investigation, deductive research
approach is chosen as the examination point tries to think about ideas of the mobile BI with help
of different hypothetical information (Blumberg, Cooper and Schindler 2014). Models of the
business intelligence are required to be chosen which betters comprehend of the exploration into

22CRITICAL ANALYSIS ON MOBILE INTELLIGENCE
exact and also clear way. However, chosen approach is smarter to comprehend the ideas into
descriptive way.
3.5 Research design
Kiyimba and O’Reilly (2016) discussed that research design clarifies the structure of the
chosen structure into theme helps in better determination and investigation of gathered
information. At the time of gathering of information, research design is connected to give better
description of the examination point. In this particular research study, descriptive is selected as
the research design, plans to increase point by point investigation to state event with appropriate
description of research subject. In this specific examination, descriptive is utilized to depict
detailed process focused into analyzing and comparing various mobile BI providers in UK. The
selected research design is considered intended to depict the research participants into
appropriate way. Tuohy et al. (2013) stated that it is one of the examination in which the data are
gathered without changing of the environment. This research refers to the sort of the examination
questions, investigate the study and in addition information examination which is connected to
the given research point. Tarone, Gass and Cohen (2013) argued that descriptive analysis
produces of the information, for example, qualitative and quantitative which characterize the
condition of nature at the point into time. It is utilized to get data that is concerning the status of
the examination as for the states of the research circumstance.
3.6 Data collection
Matthews and Ross (2014) discussed that data collection methodology are useful to
determine appropriate outcomes to the research procedure alongside empowers standard
arrangement of the research work. In this particular study, secondary data collection method is
used to give wide idea of the research theme which empowers better investigation of chosen

23CRITICAL ANALYSIS ON MOBILE INTELLIGENCE
research topic as it comprises of more information as well as detailed depiction. Using the
secondary data collection method, the information is collected from the internet, journal articles
and reports from the past research work. The reports which are available into chosen market such
as UK are analyzed. It helps to understand the existing market scenarios as well as the areas of
concern due to implementation of mobile applications in business. All the selected providers are
being judged based on various parameters which are available online.
Steps to collect the data Description
Step 1: Google search Based on selected research topic, the researcher did Google search
using the keywords such as mobile business intelligence, BI
providers in UK.
Step 2: Get website The researcher gets various websites based on mobile business
intelligence providers in UK. Most of the data are collected from
https://www.softwareadvice.com/uk/bi/mobile-business-
intelligence-comparison/.
Step 3: Literature study Based on the literature study, the researcher got to know about the
study on what the study is mainly based on. The researcher took the
parameters from the literature review.
Step 4: Focus on aim and
objectives
The researcher focused on aim and research objectives identified in
chapter 1 to collect the data.
Step 5: Selection of
mobile BI providers
The data are gathered from the website which lists of many mobile
business providers, and for this study the researcher has selected of

24CRITICAL ANALYSIS ON MOBILE INTELLIGENCE
60 mobile BI providers.
Step 6: Compare various
providers
The researcher has compared all the providers based on selected
parameters and a comparative study is conducted where only
secondary data are collected from the web sources.
Step 7: Rating Here, 1 means low rating and 5 means higher rating. Based on 5 to
3.5 star rating, the researcher made a comparison table which is
shown in Appendix.
3.7 Data analysis
There are three types of data analysis techniques such as qualitative, quantitative and
mixed method. In this particular study, mixed method is used. The study is based on both
perspectives of qualitative as well as quantitative methods. Mixed methods are proper for this
study as it takes of the advantage of various ways to explore of the research problem (Best, and
Kahn 2016). The data collection method is involved of techniques available to the researcher. In
the mixed method, the researcher has applied of statistical analysis to record the data. This
method also used of common concepts into the process to record of data and create of research
phenomenon for further studies. Silverman (2016) stated in general that mixed method is
represented to collect, analyze and interpret of both qualitative as well as quantitative data into
single study to investigate of the research phenomenon.
3.8 Ethical considerations
While directing and working into this particular study, the analyst are required to take
after set of principles which help to recognize wrong and also right arrangement of practices

25CRITICAL ANALYSIS ON MOBILE INTELLIGENCE
expected to embrace amid the examination procedure. Some of the ethical considerations are
taken into account when conducting work into this particular study:
Information application: Any kind of business information application is kept away
from to such an extent that the findings can break to the scholastic purposes.
Contribution of the participants: The researcher are attempted to put in no outside
effects on pressure over the members to get part into the procedure of input of the examination
theme. The members are urged to participate into the research study.
Member's obscurity: The researcher guaranteed that no psychological and physical
harassment is given to the members with the goal that personalities of them are covered up
according to their solicitations.
In view of the specified ethical considerations, the researcher are attempted to keep up of
research morals in the investigation. At the point when all the said ethical considerations are
followed, it comes about into effective completion of the examination think about inside
evaluated time.
3.9 Research limitations
Cleary, Horsfall and Hayter (2014) remarked that the limitations into research are normal
which characterizes the limited zone and extent of the examination study. Following are the
research restrictions:
Reliability of the study: The members those are not included into the examination are
not included into an impacts.

26CRITICAL ANALYSIS ON MOBILE INTELLIGENCE
Time related constraints: The researcher had constrained time to lead the examination
inside a brief span period. Point by point research and investigation is not directed because of
cross sectional examination.
Budget requirement: In the restricted budget plan, the researcher has absence of fund to
do the investigation utilizing SPSS programming which could better improve the nature of the
information examination and research results.
3.10 Time horizons
Main activities/ stages Week
1
Week
2
Week
3
Week
4
Week
5
Week
6
Week
7
Research topic selected for study 
Data collection using the secondary
method
 
Research layout created 
Literature review on selected topic   
Formation of the research plan  
Research techniques selected  
Secondary data collection performed  
Analysis of the Secondary Data
Collection
 
Findings of the Collected Data 
Conclusion of the Research Study 

27CRITICAL ANALYSIS ON MOBILE INTELLIGENCE
Draft is formed  
Submission of Final Work to the
Project Supervisor

Table 1: Gantt chart
(Source: Created by the author)
3.11 Summary
The chapter is depicted of distinctive research strategies which help the researcher to
improve of information examination on selected research topic. The researcher attempted to
adjust of the idea of the research study alongside investigate strategies with the goal that best
research methodologies are being confined. The tools of research methodologies are utilized to
break down the mobile BI exercises into current development of UK mobile BI providers. Whole
research is based on secondary data collection method as well as mixed data techniques to
comprehend the mobile BI. Positivism is chosen as research philosophy, deductive as research
approach, descriptive as research design to decide the mobile business intelligence of the
examination. The two times, budget plan and in addition research scope is kept up accurately to
finish the work with estimated time period.

28CRITICAL ANALYSIS ON MOBILE INTELLIGENCE
Chapter 4: Data Collection and Analysis
4.1 Introduction
This chapter analyzes the list of the 60 mobile business intelligence provider which is
compared based on some of the parameters such as “customer review rating, platforms, price,
deployment, and business size, ease of use, functionality, product quality, customer support, and
value for money”. The researcher has collected the data from the secondary data which are
available online. The researcher has compared the data based on 5 stars, 4.5 stars, 4 stars, 3.5
stars and 3 stars rating based on selected parameters. Division of the mobile BI providers based
on its rating makes easier for the researcher to compare the BI solutions so that the users can
analyze the collected data efficiently.
4.2 Compare the five stars rating mobile business providers
4.2.1: Compare the five stars rating mobile business providers based on platform
Mobile Business Intelligence
Providers Platform
Mac OS Window Linux
Looker   
Rapid Insight No  No
Artus   
Databox   
Klipfolio   
WinPure No  No

29CRITICAL ANALYSIS ON MOBILE INTELLIGENCE
Centius Qi   
Phocas Business Intelligence   
Dynamics Business Intelligence   
Table 4.2.1: Five stars rating mobile business providers based on platform
Figure 4.2.1: Five stars rating mobile business providers based on platform
(Source: Created by author)
From the above figure, it is analyzed that the mentioned mobile BI providers are all 5
start rating based on customer’s review, but it is shown that among them, Rapid Insight and
WinPure are not working into Mac OS as well as Linux platform. Rapid Insight Software
includes of dashboards, scorecards, predictive analytics, query, report writing while WinPure

30CRITICAL ANALYSIS ON MOBILE INTELLIGENCE
includes of data matching reports. The other software which is working into three of the
platforms is designed to analyze the data and provide tools for data monitoring for the analyst in
addition to decision makers.
4.2.2: Compare the five stars rating mobile business providers based on deployment
Mobile Business
Intelligence
Providers
Deployment
Cloud based On premise
Looker  
Rapid Insight No 
Artus  
Databox  No
Klipfolio  No
WinPure No 
Centius Qi  No
Phocas Business
Intelligence  
Dynamics Business
Intelligence  
Table 4.2.2: Five stars rating mobile business providers based on deployment

31CRITICAL ANALYSIS ON MOBILE INTELLIGENCE
Figure 4.2.2: Five stars rating mobile business providers based on deployment
(Source: Created by author)
From the above figure, it is analyzed that Rapid Insight is on-premise software which
delivers of automated predictive modeling help to identify relationships with critical set of data.
WinPure address the verification as well as cleanup of the software. It is also analyzed that
Databox, Klipfolio and Centius Qi are not working on-premise; they are all cloud based analytics
platform for small and large businesses. As that software is cloud based, therefore it creates of
cloud business performance dashboards. Looker, Artus, Phocas Business Intelligence and
Dynamics Business Intelligence are all offers of twotypes of deployments and fully integrated
suite for the BI tools.

32CRITICAL ANALYSIS ON MOBILE INTELLIGENCE
4.2.3: Compare the five stars rating mobile business providers based on business size
Mobile Business Intelligence
Providers Business size
Small Medium Large
Looker   
Rapid Insight   
Artus   
Databox   
Klipfolio   
WinPure   
Centius Qi   No
Phocas Business Intelligence   No
Dynamics Business Intelligence   

33CRITICAL ANALYSIS ON MOBILE INTELLIGENCE
Table 4.2.3: Five stars rating mobile business providers based on business size
Figure 4.2.3: Five stars rating mobile business providers based on business size
(Source: Created by author)
From the above figure, it is analyzed that Centius Qi and Phocas Business Intelligence
are the business intelligence software which are not operating on the large business, while other
BI solutions are all operated on small, medium as well as large businesses.
4.2.4: Compare the five stars rating mobile business providers based on price
Mobile Business Intelligence
Providers
Customer
review rating Price
Looker 5 3
Rapid Insight 5 1
Artus 5 2
Databox 5 1
Klipfolio 5 1

34CRITICAL ANALYSIS ON MOBILE INTELLIGENCE
WinPure 5 1
Centius Qi 5 2
Phocas Business Intelligence 5 2
Dynamics Business Intelligence 5 5
Table 4.2.4: Five stars rating mobile business providers based on price
Figure 4.2.4: Five stars rating mobile business providers based on price
(Source: Created by author)
From the above figure, it is analyzed that all the mentioned software are 5 stars rating
while they are differentiate based on the price. Among 9 five stars rating software, Looker has
higher value rate as compared to other. Rapid Insight, Databox, Klipfolio and WinPure are low
rated.

35CRITICAL ANALYSIS ON MOBILE INTELLIGENCE
4.3 Compare the 4.5 stars rating mobile business providers
4.3.1: Compare the 4.5 stars rating mobile business providers based on platform
Mobile Business Intelligence Providers Platform
Mac OS Window Linux
Dundas BI   
Sisense   
Yellowfin   
Style intelligence   
BOARD   
Chartio   
ClicData   
TARGIT Decision suite   
Grow BI Dashboard   
Halo   
Exago   
Izenda Reports   
icCube Data Analysis & Reporting   
KPI Fire   
BizInsight Excel Suite No  No
Splunk Enterprise   
Microsoft SQL Server - BI Edition   
Microsoft Power BI   

36CRITICAL ANALYSIS ON MOBILE INTELLIGENCE
TapAnalytics   
Cyfe   
Geckoboard   
SAP Analytics Cloud   
Xtraction No  No
Tableau   
Necto   
iDashboards   
MITS Distributor Analytics   
QlikView   
TIBCO Spotfire   
Clear Analytics No  No
WebFOCUS   
Table: 4.3.1: 4.5 stars rating mobile business providers based on platform

37CRITICAL ANALYSIS ON MOBILE INTELLIGENCE
Figure 4.3.1: 4.5 stars rating mobile business providers based on platform
(Source: Created by author)

38CRITICAL ANALYSIS ON MOBILE INTELLIGENCE
From the above figure, it is analyzed that among the selected BI solutions which are rated
as 4.5, they are compared based on platform. BizInsight Excel Suite, Xtraction and Clear
Analytics are not working on Mac OS and Linux; they are work on only Window. It is a dynamic
interface which allows the users to build the dashboards as well as reports. As Clear Analytics is
window based, therefore it takes over data and creates of excel based reports for the purpose of
easy analysis. BizInsight Excel Suite is also a solution for MS Excel for data analysis.
4.3.2: 4.5 stars rating mobile business providers based on deployment
Mobile Business
Intelligence Providers Deployment
Cloud based On premise
Dundas BI  
Sisense  
Yellowfin  
Style intelligence  
BOARD  
Chartio  No
ClicData  No
TARGIT Decision suite  
Grow BI Dashboard  No
Halo  
Exago  
Izenda Reports  
icCube Data Analysis &
Reporting  

39CRITICAL ANALYSIS ON MOBILE INTELLIGENCE
KPI Fire  No
BizInsight Excel Suite No 
Splunk Enterprise  
Microsoft SQL Server - BI
Edition  
Microsoft Power BI  No
TapAnalytics  No
Cyfe  No
Geckoboard  No
SAP Analytics Cloud  No
Xtraction  No
Tableau No 
Necto  
iDashboards  
MITS Distributor Analytics  
QlikView  
TIBCO Spotfire  
Clear Analytics No 
WebFOCUS  
Table 4.3.2: 4.5 stars rating mobile business providers based on deployment

40CRITICAL ANALYSIS ON MOBILE INTELLIGENCE
Figure 4.3.2: 4.5 stars rating mobile business providers based on deployment
(Source: Created by author)

41CRITICAL ANALYSIS ON MOBILE INTELLIGENCE
From the above figure, it is analyzed that there are ten mobile BI providers which are not
on-premise and three of them are not cloud based. The cloud based solutions are able to manage
the day-to-day business operations and provides of user functionalities. It also provides of ad-hoc
reporting, dashboards along with data virtualization tools. The providers which are not cloud
based are differentiated on that the users can publish of virtualizations from desktop version and
access the information from the mobile devices.
4.3.3: Compare the 4.5 stars rating mobile business providers based on business size
Mobile Business
Intelligence Providers Business size
Small Medium Large
Dundas BI   
Sisense   
Yellowfin   
Style intelligence No  
BOARD   
Chartio   No
ClicData   
TARGIT Decision
suite   
Grow BI Dashboard   No
Halo   
Exago   
Izenda Reports   
icCube Data Analysis
& Reporting   No

42CRITICAL ANALYSIS ON MOBILE INTELLIGENCE
KPI Fire No  
BizInsight Excel Suite   
Splunk Enterprise   
Microsoft SQL Server
- BI Edition   
Microsoft Power BI   
TapAnalytics   
Cyfe   No
Geckoboard   
SAP Analytics Cloud   
Xtraction No  
Tableau   
Necto   
iDashboards   
MITS Distributor
Analytics   
QlikView   No
TIBCO Spotfire   
Clear Analytics   
WebFOCUS No  
Table 4.3.3: 4.5 stars rating mobile business providers based on business size

43CRITICAL ANALYSIS ON MOBILE INTELLIGENCE
Figure 4.3.3: 4.5 stars rating mobile business providers based on business size
(Source: Created by author)

44CRITICAL ANALYSIS ON MOBILE INTELLIGENCE
From the above figure, it is analyzed that Charito, Grow BI Dashboard, icCube Data
Analysis & Reporting, Cyfe, QlikView are not operated into large business while Style
intelligence, KPI Fire, Xtraction and WebFOCUS are not operated into small business
organization. The software which is cloud based dashboard application for small as well as
medium business, and then it enables the users to monitor the marketing channels. Small
business operated BI solutions have wide range of the governed analytical tools. It provides the
team members with dashboard view of the objectives of company.
4.3.4: Compare the 4.5 stars rating mobile business providers based on price, ease of use,
functionality, product quality, customer support, value for money
Mobile Business
Intelligence Providers Price Ease of
use Functionality Product
quality
Customer
support
Value for
money
Dundas BI 2 4.5 4.5 4 5 5
Sisense 2 4 4 4 5 5
Yellowfin 1 4 4.5 4.5 5 5
Style intelligence 2 3 4 4.5 5 5
BOARD 2 5 4 4.5 5 5
Chartio 3 5 4 4.5 4.5 4
ClicData 2 5 5 4.5 4 4
TARGIT Decision
suite 2 4 4 4 5 5
Grow BI Dashboard 1 4 3 5 5 5
Halo 1 4 5 4 4 5
Exago 3 4 4 5 5 4
Izenda Reports 3 3 5 3.5 5 5

45CRITICAL ANALYSIS ON MOBILE INTELLIGENCE
icCube Data Analysis
& Reporting 2 4 4.5 4 5 5
KPI Fire 2 3 5 3.5 5 5
BizInsight Excel Suite 1 3 5 3.5 5 5
Splunk Enterprise 1 4 4.5 4.5 5 5
Microsoft SQL Server
- BI Edition 4 5 5 4.5 4 4
Microsoft Power BI 1 3 5 3.5 5 5
TapAnalytics 1 4.5 4 4.5 4 5
Cyfe 1 4 4.5 4.5 5 5
Geckoboard 2 4 4.5 4.5 4 5
SAP Analytics Cloud 1 5 5 4.5 4 4
Xtraction 2 4 4.5 4.5 5 5
Tableau 1 3 5 3.5 5 5
Necto 1 4.5 4.5 4.5 4 5
iDashboards 2 4 4 4 3 5
MITS Distributor
Analytics 2 4.5 5 4 4 5
QlikView 1 3.5 5 5 4 4
TIBCO Spotfire 2 4 5 4.5 4 5
Clear Analytics 1 4 4 4 4 4
WebFOCUS 1 4.5 5 4 4 5
Table 4.3.4: 4.5 stars rating mobile business providers based on price, ease of use,
functionality, product quality, customer support, value for money

46CRITICAL ANALYSIS ON MOBILE INTELLIGENCE
Figure 4.3.4: 4.5 stars rating mobile business providers based on price, ease of use, functionality, product quality, customer
support, value for money
(Source: Created by author)

47CRITICAL ANALYSIS ON MOBILE INTELLIGENCE
From the above figure, it is analyzed that all the mobile BI solutions are 4.5 stars rating
but they are differentiated based on its ease of use, functionality, product quality, customer
support and value for money. Among all this, the researcher observed that the best BI solutions
are Dundas BI, Yellowfin, Splunk Enterprise, Cyfe, Xtraction based on the customer’s review
rating on each individual parameter. On the other hand, based on price rating, Yellowfin, Splunk
Enterprise and Cyfe are low rated as compared to other two BI solutions.
4.4 Compare the four stars rating mobile business providers
4.4.1: Compare the four stars rating mobile business providers based on platform
Mobile Business Intelligence
Providers Platform
Mac OS Window Linux
Domo   
Microsoft Sharepoint No  No
Birst   
Stratum   
IFS EOI   
Pentaho   
SAP-Business intelligence   
MicroStrategy Analytics   
Jaspersoft   
Carriots Analytics (formerly
Envision)   
Information Value
Management   
Instant Answers   
GoodData   
IBM Cognos Analytics   

48CRITICAL ANALYSIS ON MOBILE INTELLIGENCE
Table 4.4.1: Four stars rating mobile business providers based on platform
Figure 4.4.1: Four stars rating mobile business providers based on platform
(Source: Created by author)
From the above figure, it is analyzed that all the BI solutions are operated on Mac OS,
Window and Linux except Microsoft SharePoint which is operated only on Window platform.
Therefore, this software enables the users to monitor as well as analyze of the business data from
the desktops in addition to Smartphone. It allows the users to manage the documents. On the
other hand, other software is helping the companies to build of data driven choices with the
platform on integrating of data.

49CRITICAL ANALYSIS ON MOBILE INTELLIGENCE
4.4.2: Compare the four stars rating mobile business providers based on deployment
Mobile Business
Intelligence Providers Deployment
Cloud based On premise
Domo  No
Microsoft Sharepoint  No
Birst  
Stratum  
IFS EOI  
Pentaho  
SAP-Business
intelligence  
MicroStrategy
Analytics  
Jaspersoft  
Carriots Analytics
(formerly Envision)  
Information Value
Management  
Instant Answers  
GoodData  No
IBM Cognos Analytics  
Table 4.4.2: Four stars rating mobile business providers based on deployment

50CRITICAL ANALYSIS ON MOBILE INTELLIGENCE
Figure 4.4.2: Four stars rating mobile business providers based on deployment
(Source: Created by author)
From the above figure, it is analyzed that the mobile BI solutions such as Domo,
Microsoft SharePoint and GoodData are only based on cloud based business management which
is integrated with various data sources such as database, spreadsheets and existing cloud based
software solutions. GoodData is a cloud based application which is accessed on the mobile
devices via support of HTML5. Microsoft SharePoint allows users to manage of the documents
via cloud based application and forms of interactive dashboards along with scorecards.

51CRITICAL ANALYSIS ON MOBILE INTELLIGENCE
4.4.3: Compare the four stars rating mobile business providers based on business size
Mobile Business
Intelligence Providers Business size
Small Medium Large
Domo   
Microsoft Sharepoint No  
Birst No  
Stratum No  
IFS EOI No  
Pentaho   
SAP-Business
intelligence No  
MicroStrategy Analytics   
Jaspersoft   
Carriots Analytics
(formerly Envision)   
Information Value
Management   
Instant Answers   
GoodData   
IBM Cognos Analytics No  
Table 4.4.3: Four stars rating mobile business providers based on deployment

52CRITICAL ANALYSIS ON MOBILE INTELLIGENCE
Figure 4.4.3: Four stars rating mobile business providers based on deployment
(Source: Created by author)
From the above figure, it is analyzed that Microsoft SharePOint, Birst, Stratum, IFS EOI,
MicroStrategy Analytics and IBM Congos Analytics are based on medium and large size of
business organization. They are not operated on small business organization. Therefore, most of
the BI solutions are used into all types of business size organizations.

53CRITICAL ANALYSIS ON MOBILE INTELLIGENCE
4.4.4: Compare the 4 stars rating mobile business providers based on price, ease of use,
functionality, product quality, customer support, value for money
Mobile Business
Intelligence Providers
Customer
review
rating Price
Ease
of use Functionality
Product
quality
Customer
support
Value
for
money
Domo 4 3 4 4 4 3 5
Microsoft Sharepoint 4 1 5 4.5 4 3 4
Birst 4 3 4 4 4 4 4
Stratum 4 4 4.5 4 3 4 5
IFS EOI 4 3 4 4.5 4 3 4
Pentaho 4 4 4 4.5 4 4 4
SAP-Business
intelligence 4 5 5 4.5 4 3 4
MicroStrategy Analytics 4 1 4.5 4 3 4 5
Jaspersoft 4 1 3 4.5 4 4 5
Carriots Analytics
(formerly Envision) 4 2 4 3 3.5 5 5
Information Value
Management 4 2 4 4 4 3 5
Instant Answers 4 1 4 4 4 4 4
GoodData 4 3 4 4.5 4 3.5 4.5
IBM Cognos Analytics 4 5 3 3.5 4.5 4.5 5
Table 4.4.4: 4 stars rating mobile business providers based on price, ease of use,
functionality, product quality, customer support, value for money

54CRITICAL ANALYSIS ON MOBILE INTELLIGENCE
Figure 4.4.4: 4 stars rating mobile business providers based on price, ease of use,
functionality, product quality, customer support, value for money
(Source: Created by author)
From the above figure, it is analyzed that based on price rating, Microsoft SharePOint,
MicroStrategy Analytics, Japersoft and Instant Answers are of lower price as compared to other
4 rating BI solutions. Among all the 4 rates software, SAP business intelligence is the best BI
solutions bas it has 4.5 rated functionality, 5 rated ease of use, 4 rated product qualities, 3 rated
customer support and 4 rated value for money. However, the limitation is that it has higher price.
It is a standardized solution which encourages of higher end user adoption. The users can easily
analyze and then report information from the data sources both within and outside of the
organization.

55CRITICAL ANALYSIS ON MOBILE INTELLIGENCE
4.5 Compare the 3.5 and 3 stars rating mobile business providers
4.5.1: Compare the 3.5 and 3 stars rating mobile business providers based on platform
Mobile
Business
Intelligence
Providers
Customer
review
rating Platform
Mac OS Window Linux
Oracle BI
Standard
Edition One 3.5   
Revel 3.5   
SetSight 3.5   
Logi Info 3   
Table 4.5.1: 3.5 and 3 stars rating mobile business providers based on platform
Figure 4.5.1: 3.5 and 3 stars rating mobile business providers based on platform
(Source: Created by author)

56CRITICAL ANALYSIS ON MOBILE INTELLIGENCE
From the above figure, it is analyzed that all the selected mobile BI providers are based
on all the three platforms, but Logi Info is only 3 rated while other three are 3.5 rated based on
customer’s review rating.
4.5.2: Compare the 3.5 and 3 stars rating mobile business providers based on deployment
Mobile Business
Intelligence
Providers
Customer
review rating Deployment
Cloud based On premise
Oracle BI Standard
Edition One 3.5 No 
Revel 3.5  No
SetSight 3.5  No
Logi Info 3 No 
Table 4.5.2: 3.5 and 3 stars rating mobile business providers based on deployment
Figure 4.5.2: 3.5 and 3 stars rating mobile business providers based on deployment
(Source: Created by author)

57CRITICAL ANALYSIS ON MOBILE INTELLIGENCE
From the above figure, it is analyzed that Oracle BI edition one and Logi Info is based
on-premise deployment. Oracle drags and drops the features of report as well as creation of
dashboard. The users can generate of documents. This BI solution also allows creating as well as
managing of the reports, invoices, and orders of sale and downloads it as PDF, Excel files. Logi
Info provides of analytics to make of informed decisions based on accurate data. The solution of
this software includes of interactive reports and dashboards.
4.5.3: Compare the 3.5 and 3 stars rating mobile business providers based on business size
Mobile
Business
Intelligence
Providers
Customer review
rating Business size
Small Medium Large
Oracle BI
Standard
Edition One 3.5   No
Revel 3.5   No
SetSight 3.5   
Logi Info 3   
Table 4.5.3 3.5 and 3 stars rating mobile business providers based on business size

58CRITICAL ANALYSIS ON MOBILE INTELLIGENCE
Figure 4.5.3 3.5 and 3 stars rating mobile business providers based on business size
(Source: Created by author)
From the above figure, it is analyzed that Oracle BI Standard Edition and Revel is
operated into small and medium businesses while SetSight and Logi Info are based on large,
medium and small business organizations. On the other hand, Logi Info is 3 rated software, but is
working into three types of business organizations.
4.5.4: Compare 3.5 and 3 stars rating mobile business providers based on price, ease of use,
functionality, product quality, customer support, value for money
Mobile
Business
Intelligence
Providers
Customer
review
rating Price
Ease
of use Functionality
Product
quality
Customer
support
Value
for
money
Oracle BI
Standard
Edition One 3.5 1 3 3 3.5 4 5
Revel 3.5 2 3 2 3.5 4.5 5

59CRITICAL ANALYSIS ON MOBILE INTELLIGENCE
SetSight 3.5 3 4 3 4.5 5 5
Logi Info 3 2 3.5 3 3 3 3
Table 4.5.4: 3.5 and 3 stars rating mobile business providers based on price, ease of use,
functionality, product quality, customer support, value for money
Figure 4.5.4: 3.5 and 3 stars rating mobile business providers based on price, ease of use,
functionality, product quality, customer support, value for money
(Source: Created by author)
From the above figure, the mobile BI providers are analyzed based on price. Oracle BI
standard Edition One has lower price as compared to other. Based on other parameters, SetSight
is best as it has 4 rated ease of use, 3 rated functionality, 4.5 rated product qualities, 5 rated
customer support while 5 rated value for money.

60CRITICAL ANALYSIS ON MOBILE INTELLIGENCE
Chapter 5: Results and Discussion
From the data analysis chapter, the researcher comes to the conclusion that SAP
Analytics Cloud, Tableau, WebFOCUS, Logi Info and IBM Congos are the best used mobile
business intelligence solutions. SAP analytics cloud is BI solutions for the business of all sizes.
The product is available for cloud based deployment and the features of mobile applications are
iPhones as well as iPads. It also allows the users to compile the data from various sources. The
features of SAP are collaboration which permits the users to share of reports with the team
members. Tableau is a virtualization application which is optimized for Android as well as Apple
tablets. The users are using this virtualization from the desktop and access to the information on
the mobile devices. It is not a cloud based deployment. WebFOCUS is BI along with analytics
platform which provides of analytical as well as operational tools for management, partners as
well as customers. The features of WebFOCUS are data discovery, predictive analytics and
location intelligence. It is deployed both cloud and on-premise.
Logi Info is BI platform which provides of self-service analytic tools for the business
organization. These BI solutions include of dashboards, data visualization and interactive reports.
The users can connect to any type of data source in order to facilitate of real time reporting. The
web architecture of this BI solution has capability to integrate, customize as well as expand of
functionality so that reports sharing and dashboard creation become easier. It is compatible with
the mobile devices. This solution is deployed on-premise. IBM Cognos analytics software is an
upgradation of Cognos BI. It is considered as self-service analytics for both large as well as
medium sized business organization. It also provides of security features and data governance. It
creates of virtualization and also reports. This BI solution updates as well as supports of

61CRITICAL ANALYSIS ON MOBILE INTELLIGENCE
deployment on both cloud and on-premise. With integration of mobile, the users can create as
well as share of reports from the tablet.
From the analysis, it is also observed that despite 5 stars rating, there are some
improvements are required into the BI solutions. Rapid Insight and WinPure are deployed on-
premise, they are not cloud based. Rapid Insight is a 5 rated BI solution but it needs some sort of
improvement into its retention rate. The mobile BI provider should retain of more customers and
requires increasing their profit. WinPure software requires improvement into quality of the
information, which helps to increase their profitability into the UK marketplace. The solution is
required to provide of more accurate data and reduce any type of duplications into the data. The
software provides of improved cleaning as well as matching experiences. New version of
WinPure is required which should improve data cleaning techniques along with fast and proper
reduplication of the data. Dynamic Business Intelligence has higher price, therefore there is
required to low its price with 5 starts product quality and customer support. Improvement into
the price should help to provide better business decisions.
Grow BI Dashboard requires improvement into its functionality. The common problem
that data analysis as well as report users are faced is slower dashboards which make the users to
wait until loading of charts in addition to reports. Performance of the business intelligence
solutions are based on the built dashboards. Lower functionality should require of improvement
over the data model, optimize of individual tables into the reporting database and caching of the
reports into the BI tool. There is required to set of better defaults into the reports along with
dashboards. This particular research study aims to give users the data that they need. Into the
Logi Info dashboard, when the troubleshooting performance issues are raised, it is important that
Logi Info can render of the report as fast as it has slow query along with connections. After

62CRITICAL ANALYSIS ON MOBILE INTELLIGENCE
analyzing of the data, it is seen that there is some improvement is required into the data model. In
order to reduce any sort of duplication into data in addition to progress storage of information,
the data will capture across various tables. When same database is used for the purpose of
reporting, then the dashboard has traverse across the tables in order to make visualizations and
slow down the time period of rendering.
Development over the BI application can speed up the process of decision making of the
analyst and decision makers. The data sources can display of information related to business
reports, personal data and activities related to sale. There are various business intelligence
software solutions which are included of web as well as custom mobile application development.
All the software solutions are benefited towards growth into the business and also profitability.
In the recent years, the speeds at which the users are required to access of data are derived from
the business intelligence which is increasing. The business organization requires of stronger
validation process which focused on enabling access to the data required to answer to the
queries. Most of the organization raises the use of mobile BI into their process with easier
utilizes of the mobile applications.
The low rated mobile BI solutions require improvement into its “price, ease of use,
functionality, product quality, customer support and value for money”. The lowest rated software
with 3 stars rating is Logi Info, but is working into three types of business organizations. The
areas of concern are that Logi Info has highest price but it has lower features. There is slow
initial load time for the dashboards. There is also an improvement is required on the application
performance. Logi business analytics platform expands of the self-service capabilities which
make the user to do query data and create of dashboards. Some sort of productivity
improvements is required for the Logi developers. It provides an ability to integrate, expand as

63CRITICAL ANALYSIS ON MOBILE INTELLIGENCE
well as modify the functionality such that both reports in addition to dashboards are shared along
with distributed properly. The mobile business intelligence applications are required to be
chosen which betters comprehend of the exploration into exact and also understandable way.

64CRITICAL ANALYSIS ON MOBILE INTELLIGENCE
Chapter 6: Conclusion and Recommendations
6.1 Conclusion
It is concluded that most of the selected mobile business intelligence providers are rated
as 4.5 based on customer’s review. The open source mobile business intelligence software is
effective software to be used by small and medium size business. The mobile BI are useful in the
business organization as it enables to reduce the cost and increases the revenue. It also enables
the mobile BI providers to become competitive in the market. BI is provided of data analysis
which helps to create, improve and redefine the products and services with marketing processes.
It is noticed that choice of the open source of BI software is limited when there is use of Android
operating system. Most of the open source software is being developed for the Mac OS where
android is an open source.
6.2 Linking with the objectives
Based on the analyzed data and the research objectives which are identified in the first
chapter, those objectives are linked with the analyzed results to meet with the research aim and
purpose of this particular study:
Linking with objective 1: To analyze the current market scenario and identify area of
concerns
The researcher analyzed 60 of the mobile business intelligence providers based on
various parameters. It is identified that some of the providers are based on window platform only
but they are rated as 5 star based on review of the customers who are using it. Those providers

65CRITICAL ANALYSIS ON MOBILE INTELLIGENCE
are rated 5 based on ease of use, functionality, product quality and customer support. Based on
deployment, some of the mobile BI providers are cloud based, therefore they are functioning
well while some of the providers are based on only on-premise, and therefore they are not
technically so advanced.
Linking with objective 2: To compare the Performance of existing mobile business
intelligence providers with respect to identified parameters
Based on the parameters of ease of use, customer support, product quality and value for
money, 60 of the mobile BI providers which are selected for this study are rated. In some of the
cases, there is low functionality along with customer support and product quality which provides
effects on performance of the existing mobile BI providers.
Linking with objective 3: To devise a strategy for improving the identified areas of
concern
There are some level of improvements are required in some of the mobile BI providers so
that they can gain a competitive advantage in the UK marketplace. Some of the providers are not
providing of secured data to the users, therefore the mobile BI users should connect, validate as
well as access to the data from the server of BI via website into real time information. A
centralized authentication system is ensured for access to the reports from the stolen device. The
providers should improve over their functionality, customer support, product quality and
usability of the software. As mobility is a top concern for the business IT leaders, therefore the
identified parameters should require to be improved.

66CRITICAL ANALYSIS ON MOBILE INTELLIGENCE
6.3 Recommendations
Adoption of technology: The organization which desires to adopt of mobile BI should
use of advanced technology for the implementation of mobile applications. Use of advanced
technology should make the business operations efficient. Adoption of mobile business
intelligence system provides the user’s with required information, content as well as time to gain
business insights throughout the information analysis. This mobile business research is benefited
from the mobile BI applications like mobile CRM, mobile SCM as well as mobile ERP.
Therefore, the mobile applications are stimulating the evolution of mobile within the
organization.
Use of MOBII framework: The organization should use of multiple phone web based
application framework to support development of the phone applications which can leverage the
native application capabilities. By devise of the MOBII framework, this research study should
aim to pack up the gaps into the research. The organization should utilize of MOBII framework
in order to inform with the proprietary of the BI implementation methods. The proposed
framework should provide as straight reference for the project manager as it offers higher level
summary of the key significant managerial suggestions.
6.4 Limitations of the study
Reliability is considered as limitation of this research study as the data are collected from
the websites of the mobile business intelligence providers those are operating in UK. Therefore,
the researcher is not able to guarantee of the quality as well as reliability of the gathered data as
well as information. It is not ensured that the collected data are real time information or not.
There are two constraints which are carried out into the research work are time as well as budget.

67CRITICAL ANALYSIS ON MOBILE INTELLIGENCE
Therefore these two of the constraints are restricted the researcher to meet with scope of this
particular research study.
6.5 Future scope of the study
The importance of this study is that the mobile BI is key significant important for the
organization to interact with the data as well as products in real time. Most of the managerial
executives are not like of PC, while they like to use of tablets as well as Smartphone. In order to
make business intelligence available on the market, it helps to make of visible to the top
management. In the future, the study should be carried out on implementation of mobile business
applications in UK so that it can provide a competitive advantage into the selected marketplace.

68CRITICAL ANALYSIS ON MOBILE INTELLIGENCE
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72CRITICAL ANALYSIS ON MOBILE INTELLIGENCE
Appendix
1. Data analysis part
1.1 Compare of various mobile business intelligence providers based on various parameters
Mobile Business
Intelligence
Providers
Custome
r review
rating
Price Platform Deployment Business size Ease
of
use
Functionalit
y
Produc
t
quality
Custome
r
support
Value
for
mone
y
Mac
OS
Windo
w
Linu
x
Clou
d
based
On
premis
e
Smal
l
Mediu
m
Larg
e
Dundas BI 4.5 2         4.5 4.5 4 5 5
Sisense 4.5 2         4 4 4 5 5
Domo 4 3     No    4 4 4 3 5

73CRITICAL ANALYSIS ON MOBILE INTELLIGENCE
Yellowfin 4.5 1         4 4.5 4.5 5 5
Style intelligence 4.5 2      No   3 4 4.5 5 5
BOARD 4.5 2         5 4 4.5 5 5
Chartio 4.5 3     No   No 5 4 4.5 4.5 4
ClicData 4.5 2     No    5 5 4.5 4 4
Looker 5 3         5 5 5 5 5
Microsoft Sharepoint 4 1 No  No  No No   5 4.5 4 3 4
TARGIT Decision
suite
4.5 2         4 4 4 5 5
Grow BI Dashboard 4.5 1     No   No 4 3 5 5 5
Halo 4.5 1         4 5 4 4 5
Birst 4 3      No   4 4 4 4 4

74CRITICAL ANALYSIS ON MOBILE INTELLIGENCE
Exago 4.5 3         4 4 5 5 4
Izenda Reports 4.5 3         3 5 3.5 5 5
Stratum 4 4      No   4.5 4 3 4 5
IFS EOI 4 3      No   4 4.5 4 3 4
Pentaho 4 4         4 4.5 4 4 4
icCube Data Analysis
& Reporting
4.5 2        No 4 4.5 4 5 5
Rapid Insight 5 1 No  No No     5 5 5 5 5
Centerprise Data
Integrator
4 3 No  No No     4 4 3 3.5 5
KPI Fire 4.5 2     No No   3 5 3.5 5 5
SAP-Business
intelligence
4 5      No   5 4.5 4 3 4

75CRITICAL ANALYSIS ON MOBILE INTELLIGENCE
MicroStrategy
Analytics
4 1         4.5 4 3 4 5
Jaspersoft 4 1         3 4.5 4 4 5
Alteryx 5 4         5 5 5 5 5
BizInsight Excel Suite 4.5 1 No  No No     3 5 3.5 5 5
Splunk Enterprise 4.5 1         4 4.5 4.5 5 5
Artus 5 2         5 5 5 5 5
Oracle BI Standard
Edition One
3.5 1    No    No 3 3 3.5 4 5
Microsoft SQL Server
- BI Edition
4.5 4         5 5 4.5 4 4
Microsoft Power BI 4.5 1     No    3 5 3.5 5 5
TapAnalytics 4.5 1     No    4.5 4 4.5 4 5

76CRITICAL ANALYSIS ON MOBILE INTELLIGENCE
Cyfe 4.5 1     No   No 4 4.5 4.5 5 5
Databox 5 1     No    5 5 5 5 5
Carriots Analytics
(formerly Envision)
4 2         4 3 3.5 5 5
Geckoboard 4.5 2     No    4 4.5 4.5 4 5
Information Value
Management
4 2         4 4 4 3 5
Klipfolio 5 1     No    5 5 5 5 5
WinPure 5 1 No  No No     5 5 5 5 5
SAP Analytics Cloud 4.5 1     No    5 5 4.5 4 4
Revel 3.5 2     No   No 3 2 3.5 4.5 5
Xtraction 4.5 2 No  No  No No   4 4.5 4.5 5 5

77CRITICAL ANALYSIS ON MOBILE INTELLIGENCE
Tableau 4.5 1    No     3 5 3.5 5 5
SetSight 3.5 3     No    4 3 4.5 5 5
Necto 4.5 1         4.5 4.5 4.5 4 5
iDashboards 4.5 2         4 4 4 3 5
Instant Answers 4 1         4 4 4 4 4
Centius Qi 5 2     No   No 5 5 5 5 5
MITS Distributor
Analytics
4.5 2         4.5 5 4 4 5
QlikView 4.5 1        No 3.5 5 5 4 4
TIBCO Spotfire 4.5 2         4 5 4.5 4 5
Clear Analytics 4.5 1 No  No No     4 4 4 4 4
GoodData 4 3     No    4 4.5 4 3.5 4.5

78CRITICAL ANALYSIS ON MOBILE INTELLIGENCE
IBM Cognos
Analytics
4 5      No   3 3.5 4.5 4.5 5
Phocas Business
Intelligence
5 2        No 5 5 5 5 5
Dynamics Business
Intelligence
5 5         5 5 5 5 5
WebFOCUS 4.5 1      No   4.5 5 4 4 5
Logi Info 3 2    No     3.5 3 3 3 3

79CRITICAL ANALYSIS ON MOBILE INTELLIGENCE
1.2 Five start rating mobile BI providers
Mobile Business
Intelligence
Providers
Customer
review
rating
Price Platform Deployment Business size Ease
of use Functionality Product
quality
Customer
support
Value
for
money
Mac
OS Window Linux
Cloud
based
On
premise Small Medium Large
Looker 5 3         5 5 5 5 5
Rapid Insight 5 1 No  No No     5 5 5 5 5
Artus 5 2         5 5 5 5 5
Databox 5 1     No    5 5 5 5 5
Klipfolio 5 1     No    5 5 5 5 5
WinPure 5 1 No  No No     5 5 5 5 5
Centius Qi 5 2     No   No 5 5 5 5 5
Phocas Business
Intelligence 5 2        No 5 5 5 5 5
Dynamics Business
Intelligence 5 5         5 5 5 5 5

80CRITICAL ANALYSIS ON MOBILE INTELLIGENCE
1.3 4.5 start rating mobile BI providers
Mobile Business
Intelligence
Providers
Custome
r review
rating
Price Platform Deployment Business size Ease
of use
Functionalit
y
Produc
t
quality
Custome
r
support
Value
for
mone
y
Mac
OS
Windo
w
Linux Cloud
based
On
premis
e
Small Mediu
m
Large
Dundas BI 4.5 2         4.5 4.5 4 5 5
Sisense 4.5 2         4 4 4 5 5
Yellowfin 4.5 1         4 4.5 4.5 5 5
Style intelligence 4.5 2      No   3 4 4.5 5 5
BOARD 4.5 2         5 4 4.5 5 5

81CRITICAL ANALYSIS ON MOBILE INTELLIGENCE
Chartio 4.5 3     No   No 5 4 4.5 4.5 4
ClicData 4.5 2     No    5 5 4.5 4 4
TARGIT Decision
suite
4.5 2         4 4 4 5 5
Grow BI Dashboard 4.5 1     No   No 4 3 5 5 5
Halo 4.5 1         4 5 4 4 5
Exago 4.5 3         4 4 5 5 4
Izenda Reports 4.5 3         3 5 3.5 5 5
icCube Data
Analysis &
Reporting
4.5 2        No 4 4.5 4 5 5
KPI Fire 4.5 2     No No   3 5 3.5 5 5
BizInsight Excel 4.5 1 No  No No     3 5 3.5 5 5

82CRITICAL ANALYSIS ON MOBILE INTELLIGENCE
Suite
Splunk Enterprise 4.5 1         4 4.5 4.5 5 5
Microsoft SQL
Server - BI Edition
4.5 4         5 5 4.5 4 4
Microsoft Power BI 4.5 1     No    3 5 3.5 5 5
TapAnalytics 4.5 1     No    4.5 4 4.5 4 5
Cyfe 4.5 1     No   No 4 4.5 4.5 5 5
Geckoboard 4.5 2     No    4 4.5 4.5 4 5
SAP Analytics
Cloud
4.5 1     No    5 5 4.5 4 4
Xtraction 4.5 2 No  No  No No   4 4.5 4.5 5 5
Tableau 4.5 1   No     3 5 3.5 5 5

83CRITICAL ANALYSIS ON MOBILE INTELLIGENCE
Necto 4.5 1         4.5 4.5 4.5 4 5
iDashboards 4.5 2         4 4 4 3 5
MITS Distributor
Analytics
4.5 2         4.5 5 4 4 5
QlikView 4.5 1        No 3.5 5 5 4 4
TIBCO Spotfire 4.5 2         4 5 4.5 4 5
Clear Analytics 4.5 1 No  No No     4 4 4 4 4
WebFOCUS 4.5 1      No   4.5 5 4 4 5

84CRITICAL ANALYSIS ON MOBILE INTELLIGENCE
1.4 4 start rating mobile BI providers
Mobile Business
Intelligence Providers
Customer
review
rating Price Platform Deployment Business size
Ease
of use Functionality
Product
quality
Customer
support
Value
for
money
Mac
OS Window Linux
Cloud
based
On
premise Small Medium Large
Domo 4 3     No    4 4 4 3 5
Microsoft Sharepoint 4 1 No  No  No No   5 4.5 4 3 4
Birst 4 3      No   4 4 4 4 4
Stratum 4 4      No   4.5 4 3 4 5
IFS EOI 4 3      No   4 4.5 4 3 4
Pentaho 4 4         4 4.5 4 4 4
SAP-Business
intelligence 4 5      No   5 4.5 4 3 4
MicroStrategy Analytics 4 1         4.5 4 3 4 5
Jaspersoft 4 1         3 4.5 4 4 5
Carriots Analytics
(formerly Envision) 4 2         4 3 3.5 5 5
Information Value
Management 4 2         4 4 4 3 5
Instant Answers 4 1         4 4 4 4 4
GoodData 4 3     No    4 4.5 4 3.5 4.5
IBM Cognos Analytics 4 5      No   3 3.5 4.5 4.5 5

85CRITICAL ANALYSIS ON MOBILE INTELLIGENCE
1.5 3.5 and 3 star rating mobile BI providers
Mobile
Busines
s
Intellige
nce
Provide
rs
Custo
mer
review
rating
Pric
e
Platform Deployment Business size Ease
of
use
Function
ality
Prod
uct
quali
ty
Custo
mer
suppor
t
Valu
e for
mon
ey
Mac
OS
Wind
ow
Linu
x
Clou
d
base
d
On
prem
ise
Sma
ll
Medi
um
Lar
ge
Oracle
BI
Standard
Edition
3.5 1    No    No 3 3 3.5 4 5