Top Vendors in Business Intelligence and Analytics

The assignment content discusses the importance of big data analytics in today's digital era. It highlights the role of vendors like Tableau and TIBCO in providing business intelligence and analytics solutions. The content also emphasizes the need for upgraded technology to meet market competition and user requirements. According to a Gartner report, visual base data discovery tools are the best features of current business analytics and intelligence tools. The report praises Tableau and TIBCO as powerful and well-rounded platforms with deployment and development capabilities.

Running Head: Digital Analytics, big data and technologies
Digital analytics, big data and technologies
[Document subtitle]

Digital Analytics, big data and technologies 2
Executive Summary
In recent time business analytics and intelligence platform responsible for mainstream data and
information flow with a high rate of cloud-based deployments. Many of the analytics and data
leader are going for upgraded technology according to market competition and user
requirements. According to a Gartner report, visual base data discovery tools are the best features
of current business analytics and intelligence tools. It is proved that data & information both
work as a support system for both consumer and business. TIBCO and Tableau are a powerful
and well-rounded platform with deployment and development capabilities. The main problem
arises in these platforms when privacy is invaded, as well as when sensitive information and data
is lost. Due to this user or business analytics tools security and privacy ethics become very
vulnerable. Many of the business houses use so many advanced algorithmic analysis to extract
data and information so that they can use it to spot the trends of the market and also prevent the
different ethical issues. In this report, Gartner key insights, commentary on methods used, a
critique of the presentation methods and, as well as possible improvements, is going to be
described. Here in this report, all things are going to explain about magic quadrant for analytics
and Business Intelligence using SWOT analysis as well as why Tableau is in the spot of Leaders
quadrant and why the TIBCO is in the Visionaries.

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Introduction
In recent times due to the rise in the use of new internet and computer technology in every sector
of life, increases the problems related to the security and privacy of data and information during
their transmission period. Many of the analytics and data leader are going for upgraded
technology according to market competition and user requirements. According to a Gartner
report, visual base data discovery tools are the best features of current business analytics and
intelligence tools. Gartner redesigned the magic quadrant for BI intelligence and analytics
platforms from old model structure to modern agile and analytics. There is a new wave initiated
named as augmented analytics also available in the market. Gartner report always praises TIBCO
and Tableau tools. According to Gartner analysis and business intelligence, TIBCO and Tableau
are powerful and well-rounded tools for big data analytics. Due to its end to end and deployment
abilities, TIBCO and Tableau manage the data center of IOT analytics in a very unique way. But
in some way both are different from each other which makes TIBCO visionary and Tableau in
the spot of leader quadrants.
Today in modern times so many people are working on distribution, collection, and execution of
data as well as information in every business they do. Personal data and information related to
legal problems are collected by court and other legal authority. Change from paper to electronic
or digital record needs a change in the security methods and various security measures to prevent
this type of threat. The social problem caused due to this can be solved with full dignity in this
information age.
Part A
Report Synopsis
Key Insights
According to Gartner report Tableau mainly offers visual based intuitive interaction experience
which permits the user to analyze, access and finding current errors in their database without
having any coding or technical skills. Whereas Tibco is very early visual base data discovery tool
which changes the old reporting market to modern BI and analytics. Its Spotfire mainly offers
interactive visualization, analytics dashboard, and workflow with user-friendly processing
options in the database. In the future, it is going to continue to upgrade its features which offer

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machine learning, data science and data virtualization using middleware and making
relationships with OEM. It is positioned in the visionaries due to its global availability and
product vision.
Commentary on Methods used
In Gartner report it is stated that they adjust and review their inclusion criteria for magic
quadrants according to the change in market and user requirements. Due to this, any vendors in
any magic quadrants can change over time. According to Gartner's view vendor’s judges on the
basis of their capability and their success in making their vision in a real market where
customer’s requirement fulfill completely. Providing a positive experience to the customer —
mainly consists of experience on sales, support, quality of the product, skills availability and ease
of upgrade as well as the vendor's ability to implement. (Cindi Howson, 2018)
Presentation methods
Gartner presentation methods on magic quadrant provide more information about leader
quadrants position and visionaries’ quadrant positions. Leaders are those vendors which have
good understandings of products abilities and commitment towards customer’s full satisfaction
according to their demands. To increase the result of data collections agencies and researchers
has access to many more variables which are strictly needed to answer their original hypothesis.
So many times the collected data are not fully explored or used by the original research team due
to the limitation in time, interest or resources. Gartner's analysis and ratings, as well as
commentary in the report, are based upon a number of different sources: Customers' perceptions
of each vendor's strengths and challenges, share information from their analytics and BI-related
inquiries to Gartner, online survey of vendors' reference customers, and permit to evaluation of
software from all vendor.
Visualization and possible improvements
There is a big number of tools and techniques to Analyse, Manipulate, Aggregate and manage
Big Data. The choice of tools and technology depend a lot on the nature of data which needs to
be stored and the kind of analysis they want. Simply, no comparison is feasible between Tableau
and Tibco according to their features. Many of the analytics and data leader are going for
upgraded technology according to market competition and user requirements. According to a

Digital Analytics, big data and technologies 5
Gartner report, visual base data discovery tools are the best features of current business analytics
and intelligence tools. They mainly offer visual based intuitive interaction experience which
permits the user to analyze, access and finding current errors in their database without having
any coding or technical skills (James Richardson, 2018).

Digital Analytics, big data and technologies 6
Platforms in the LEADER’s quadrant
Leaders are those vendors which have good understandings of products abilities and commitment
towards customer’s full satisfaction according to their demands. Tableau is mainly used to
discover and connect with different data sources. Due to its user-friendly nature anyone can
easily store and share data as well as information of any enterprise. It is good in connect with any
sources by using drag and drop facilities. It mainly focuses on visualizations. It provides basic
data to the user so that they can analyze it in an easy manner and also at the same time download
as a worksheet. It offers data analysis at the front end. It is a better option when data
visualizations are the requirements of business analytics. (Rita Sallam, 2018)
Platforms in TIBCO platform
TIBCO has positioned in visionaries quadrants due to its presence in all over the world as well as
advanced upcoming exploration and analytics product vision. It provides integration, analytics
and event process for the company in office as well as on cloud environment. It mainly focuses
on data manipulation then visualizations later. TIBCO offers data selection first and
visualization later. It offers data analysis at the back-end. One of the main features of this
platform is shielded virtual environment which provides encryption support due to which it
makes the virtual server more protected than the previous one. Including automated disk
encryption as well as capacities to replace all the no shielded virtual servers into the shielded
virtual server this application is going to provide to the IT infrastructure. (Carlie Idoine, 2018)
These platforms nowadays play a major role in the success of BI and analytics. In this current
economic system, there is a need to develop the product according to the requirement of the user.
Nowadays the main goal of this tool is to understand the user perception about the quality of the
product. In Gartner report it is stated that they adjust and review their inclusion criteria for magic
quadrants according to the change in market and user requirements. Due to this, any vendors in
any magic quadrants can change over time. According to Gartner's view vendor’s judges on the
basis of their capability and their success in making their vision in a real market where
customer’s requirement fulfill completely. (Cindi Howson, 2018)

Digital Analytics, big data and technologies 7
Part B
In recent time business analytics and intelligence platform responsible for mainstream data and
information flow with a high rate of cloud-based deployments. Many of the analytics and data
leader are going for upgraded technology according to market competition and user
requirements. According to a Gartner report, visual base data discovery tools are the best features
of current business analytics and intelligence tools. It is proved that data & information both
work as a support system for both consumer and business. TIBCO and Tableau are a powerful
and well-rounded platform with deployment and development capabilities. Gartner redesigned
the magic quadrant for BI intelligence and analytics platforms from old model structure to
modern agile and analytics. There is a new wave initiated named as augmented analytics also
available in the market. Gartner report always praises TIBCO and Tableau tools. According to
Gartner analysis and business intelligence, TIBCO and Tableau are powerful and well-rounded
tools for big data analytics. Due to its end to end and deployment abilities, TIBCO and Tableau
manage the data center of IOT analytics in a very unique way (Joao Tapadinhas, 2018)
According to Gartner report Tableau mainly offers visual based intuitive interaction experience
which permits the user to analyze, access and finding current errors in their database without
having any coding or technical skills. Whereas Tibco is very early visual base data discovery tool
which changes the old reporting market to modern BI and analytics. Leaders are those vendors
which have good understandings of products abilities and commitment towards customer’s full
satisfaction according to their demands. In the Gartner report, it is stated that they adjust and
review their inclusion criteria for magic quadrants according to the change in market and user
requirements. Due to this, any vendors in any magic quadrants can change over time. According
to Gartner's view vendor’s judges on the basis of their capability and their success in making
their vision in a real market where customer’s requirement fulfill completely. In the future, it is
going to continue to upgrade its features which offer machine learning, data science and data
virtualization using middleware and making relationships with OEM. (Carlie Idoine, 2018)
The tableau software tool is mainly used to discover and connect with different data sources. Due
to its user-friendly nature anyone can easily store and share data as well as information of any
enterprise. Whereas TIBCO provides integration, analytics and event process for the company in
office as well as on cloud environment. It mainly focuses on data manipulation then

Digital Analytics, big data and technologies 8
visualizations later. Successful big data analysis mainly require a systematic process which
mainly recognizes the problem of utilizing existing data and explains the different characteristics
of secondary analysis. In all parts of the world, the electronic information sources for big data
are becoming very efficient and more effective. The overall goal of these tools is very similar to
that of others to provide a contribution to scientific knowledge by offering alternate solutions
which mainly rely on existing data. In the coming future, a big amount of data being collected,
achieved by researchers across the globe are becoming more easily accessible (Alys Woodward,
2018).
References
D. Che, M. Safran, and Z. Peng, (2016) “From Big Data to Big Data Mining: challenges, issues,
and opportunities,” in Database Systems for Advanced Applications, pp. 1–15
M. Chen, S. Mao, and Y. Liu, (2014) “Big data: a survey,” Mobile Networks and Applications,
vol. 19, no. 2, pp. 171–209.
S. Kaisler, F. Armour, J. A. Espinosa, and W. Money, (2013) “Big data: issues and challenges
moving forward,” in Proceedings of the IEEE 46th Annual Hawaii International Conference on
System Sciences (HICSS '13), pp. 995–1004
R. Cumbley and P. Church, (2013) “Is “Big Data” creepy?” Computer Law and Security Review,
vol. 29, no. 5, pp. 601–609