Big Data Analysis and Mobile Applications

This assignment delves into the intersection of big data analysis and mobile applications. It examines how big data influences mobile app design, functionality, and user experience. The discussion encompasses various aspects such as data collection, storage, processing, and the ethical considerations associated with big data utilization in mobile contexts. Students are expected to analyze real-world examples and current trends to understand the significance of big data in shaping the future of mobile application development.

INFORMATION SYSTEMS MANAGEMENT

TABLE OF CONTENTS
Concept of cloud computing ...........................................................................................................3
Challenges of cloud computing ..................................................................................................3
Benefits of cloud computing ......................................................................................................3
Concept of Big data.........................................................................................................................4
Challenges of Big data ...............................................................................................................4
Benefits of Big data.....................................................................................................................5
Concept of mobile platform ............................................................................................................5
Challenges of mobile platform....................................................................................................5
Benefits of mobile platform .......................................................................................................6
Big data as a source of business intelligence and decision making process...............................6
Methodologies and Procedures of Data collection......................................................................8
REFERENCES .............................................................................................................................10

CONCEPT OF CLOUD COMPUTING
In general terms, cloud computing is a type of internet based computing which provides
shared computer processing resources and data to computers and other devices when required. It
is also considered as a model which enables universal and on-demand access to shared pool of
configurable computing resources (Remenyi and Sherwood-Smith, 2000).
The concept has been used at Blockey Consulting for sharing the resources to achieve
coherence and economy of scale over a specific network. Most of the companies’ claim that
could computing allows them to avoid up- front infrastructure costs. It also enables to focus on
their core businesses instead of spending time and money resources in computer infrastructure.
In the present case of Blockey consulting, the concept of cloud computing is utilized as a way to
get their applications up and also to make them run faster with improved manageability and less
maintenance (Bazzichelli, 2009).
Challenges of cloud computing
 The major challenge that lies in cloud computing is the way it addresses the security and
privacy concerns of business thinking.
 Along with this, it is also challenging for Blockey consulting to assess the costs involved
in the services. Thus, budgeting and assessment of the cost are another difficulties lies in
cloud computing (Rexwhite and Baro, 2008).
 Blockey consulting can save money in hardware; but it has to spend more for the
bandwidth.
Benefits of cloud computing
 The latest version of applications can be available with the help of fresh software and
cloud computing aids in getting the same.
 With the help of cloud computing, Blockey consulting can reduce the size of their own
data centers. At the same time, it can also eliminate their data center footprint altogether.
 Similarly, reduction in number of servers can decline IT costs without impeding the
capabilities of Blockey consulting (Falkenberg, Hesse and Olivé, 2016).

 It is more effective because it improves collaboration between different development
systems.
 With the help of cloud computing, data and applications are available to employees all
across the world. Hence, it is a good source through which mobility can be encouraged.
CONCEPT OF BIG DATA
Big data is used for data set which is so larger and complex and which also provides
traditional data processing applications. It includes use of predictive analysis, use behaviour
analytics and other data analytic methods that extract value from data. Further it focused on
particular size of data set that can be used for preparing different projects (Rouse, 2002).
Challenges of Big data
 Big data have big noise and certain times, it depicts meaningless data points. Hence, in
this case the analyst should work hard to segregate important data from the data set.
 Big data also has several privacy problems especially while analyzing from social
networks.
 In terms of challenges, big data means a low security level. It is also similar like clouds
which is not always secure on other data warehouses.
 Under big data, Blockey consulting can face battle to fetch relevant information
(Bazzichelli, 2009).
Benefits of Big data
 The storage possibility is unlimited; hence Blockey consulting can save huge data
volumes in the existing database.
 It can be accessed from any place and through any sources or devices which are normally
utilized or stores in clouds (Chang, 2016).
 It is highly supported by powerful computer that can process information and data in
appropriate manner.

 Big data is also beneficial for Blockey consulting because of the speed and processing
power.
 It also uses modern analytical methods and technologies for the purpose of getting
insights about different data set.
CONCEPT OF MOBILE PLATFORM
Mobile platform is a generalized term that lies under digital platform which is useful in
performing different business activities and functions (Benefits and Disadvantages of Developing
Cross-Platform Mobile Apps. 2013). Hence, digital platform is indeed a source of business
promotion in which chief emphasis is laid upon promoting services of Blockey consulting.
Challenges of mobile platform
 Sometimes, challenges arise due to difference of language in the available applications.
 User interaction can be one difficulty in the same area where in users might have to
change the screen layouts due to availability of diverse applications.
 Use of numerous technologies at a time may affect the user interface and it may also
impact the speed of applications (Pros & Cons of Developing Cross-Platform Mobile
Apps. 2013).
 Information sharing and privacy has become a general concern in digital revolution and
somewhere this is also affecting the ability to store large volumes of information in a
single system.
 Hence, Blockey consulting might experience issues related to emergence of copyright
infringement and trademark aspects. This not only affects business practices; but also it
creates more challenges for customers to identify the categories of products and services.
Benefits of mobile platform
 Having digital platform can assist Blockey consulting to reach greater number of people
so that business prospects can be promoted on higher extent.
 This is also one of the easiest sources through which marketing practices of Blockey
consulting can be strengthened. Hence, more clients can be attracted through the same.

 Further, it is also easier to maintain and deploy changes in Blockey consulting while
working on any application that runs across all platforms (Falkenberg, Hesse and Olivé,
2016).
 It is highly significant in reducing development cost for Blockey consulting because
applications can be multiple times in different platforms.
Big data as a source of business intelligence and decision making process
Big data is a broad concept which aids the business in catering relevant information
regarding the customers preferences, market trends, hidden correlations and other relevant
business data. It is a source of Business intelligence as it assist in collecting several information
for the organization. Business Intelligence is the process wherein the owners and other corporate
authorities are concerned with deriving and accumulating data from several sources. These
information are used in making varied decisions which can further be help the organization to
grow and prosper. Therefore, it can be stated that big data is a major source of business
intelligence through which information can be catered. In regards to the present chosen
organization that is Blockey consulting its aids in making various decision of the firm (McAfee
and et.al., 2012). It provides varied consultancy services to big business person so the data
collected from the big data regarding the correlations and hidden patterns pertaining in the
market.
Moreover, it assist the owners to introduce particular products or services in the market
that assist in gaining competitive advantage to the other organization (Chen, Chiang and Storey,
2012). In addition to the above, it uses several methodologies and techniques through which data
can be processed very quickly regarding the competitors strategy, policies, etc.
OPPORTUNITIES AND challenge FOR Blockey Consulting of using cloud computing and Big Data
as compare to traditional database system
CLOUD COMPUTING PROVIDES OPPORTUNITIES TO Blockey Consulting to great extent. As
traditional methods of managing information were having many drawbacks. As in the previous
time people were used on using manual methods to keep records safe. In these methods errors
and inconsistency in data entry were the common problem with traditional methods. The
information managing system was much more depended upon the individuals of Blockey

Consulting. Some time it takes too lengthy time for completing managing documents (Benefits
and Disadvantages of Developing Cross-Platform Mobile Apps. 2013). Traditional methods were
very costly and it requires physical space and increases chances of mistakes in the organization.
Duplication of data entry was the common error in traditional information system. As compared
to cloud computing method provide opportunity to Blockey Consulting to great extent:
 WITH THE HELP OF CLOUD COMPUTING Blockey Consulting will be able to reduce cost of the
company. It needs not to hire many persons for manual entry so mistakes can be minimized
which is the great opportunity for Blockey Consulting. Data can be recorded with the
assistance of this method easily. Cost reduction is the great opportunity for the firm
 As a consultancy firm Blockey Consulting has to share its important details regarding jobs
and vacant post to clients or job seekers. So sharing of information can be done easily which
can give huge success to the business unit.
 As cloud computing provides mobile ready connections in which files can be stored
remotely. Whenever it access internet connection, company can directly connect to the main
part and main update new information automatically. This automatic up-dation benefit of
cloud increases productivity of employees as they do not require to spend valuable time on
installing or other things (Chang, 2016). So it saves time of employee and in that duration
they can work for enchaining the revenues of he Blockey Consulting.
BUT SOME TIMES IT creates challenge FOR blockey consulting because whenever
company is unable to access internet then it will not be able to use any application which will
harm he production and operation of he company. Data of organization can be hacked by hackers
as because when multiple users are hosted the single server then hacker can harm the important
information which an create challenge for the firm. It this respect manual traditional methods can
be beneficial because in this, company can keep secure its data.
Big data method is far better than traditional information systems. Hadoop and cloud-
based analytics can give opportunity to Blockey Consulting. It can provide cost advantage to the
firm. As compare to traditional methods such as data warehouses and marts were very expensive.
And Big data and this earlier tools have difference in functionality. Operations of Big data are
quite impressive which reduce the cost of the Blockey Consulting. This techniques help to store

vast data at one time so saving of time is another great opportunity provide by this modern
technology (Falkenberg, Hesse and Olivé, 2016). As Blockey Consulting has all details of its
customers so with the help of this advanced software it will be able to take effective decisions.
Whereas traditional methods are time consuming and it is difficult to understand needs of several
consumers by using traditional techniques. So it provides huge opportunity to firm, it can
understand behavior of job seekers and can identify their needs. This will help to meet with the
requirement of clients.
But on the same time it creates challenge for Blockey Consulting because for adopting
this techniques, it will have to modify its data flowing approach which means logistic issue is the
big challenge for he firm. It is required to have capability of conducting sophisticated analyses
but if it fails to manage real time analyses accordingly then it can create problem for the firm.
Methodologies and Procedures of Data collection
The Blockey Consultancy is using the Probabilistic graphical modeling techniques to
collect and store the data. As per this methodology the organization uses large sized probability
samples and algorithms to produce a relevant information that can be used by the another
business person. This done via the means of Bayesian networks and Markov networks (Mayer-
Schönberger and Cukier, 2013). These techniques and methodologies are used to resolve the real
life troubles by using integrated learning system, heterogeneous data and imbalanced as well as
big data learning. The procedures used to store the data have been enumerated here-under: Collection: It involves correlating data from varied sorts such as data warehouse and
marts. Storing: The storage of this kind of data is quite different from that of the other. It is
stored in such a manner that the backup of each information is already created in the data
storage system (Lazer and et.al., 2014). Data Organization: Several big data techniques such as HDFS and NoSQL is used to
categorize the information in the structured, semi-structured and unstructured data. Data Analysis: Thereafter,varied analytical tools are used to bring out the hidden
information from the present data. Data Visualization: The derived data are then transmitted to graphs by using tools such

as Qlikview and D3.js to make the users better understand the concept.
 Result: The information is been provided to the clients of Blockey consultant and results
are derived from them (Marz and Warren, 2015).

REFERENCES
Books and Journals
Bazzichelli, T., 2009. Networking: The Net as Artwork. BoD – Books on Demand.
Chang, J. F., 2016. Business process management systems: strategy and implementation. CRC
Press.
Chen, H., Chiang, R. H. and Storey, V. C., 2012. Business Intelligence and Analytics: From Big
Data to Big Impact. MIS quarterly. 36(4). pp.1165-1188.
Falkenberg, E. D., Hesse, W. and Olivé, A., 2016. Information System Concepts: Towards a
consolidation of views. Springer.
Lazer, D. and et.al., 2014. The parable of Google flu: traps in big data analysis. Science.
343(6176). pp.1203-1205.
Marz, N. and Warren, J., 2015. Big Data: Principles and best practices of scalable realtime data
systems. Manning Publications Co..
Mayer-Schönberger, V. and Cukier, K., 2013. Big data: A revolution that will transform how we
live, work, and think. Houghton Mifflin Harcourt.
McAfee, A. and et.al., 2012. Big data. The management revolution. Harvard Bus Rev. 90(10).
pp.61-67.
Remenyi, D. and Sherwood-Smith, M., 2000. Maximise information systems value by
continuous participative evaluation. Logistics Information Management. 12(1/2). pp.14 –
31.
Rexwhite, T. and Baro, E., 2008. Patterns of Information Storage and Retrieval in University
Libraries in Nigeria. Library Hi Tech News. 25(1). pp.19 – 26.
Rouse, W. B., 2002. Need to Know—Information, Knowledge, and Decision Making.
Applications and Reviews. 32(4).
Online
Benefits and Disadvantages of Developing Cross-Platform Mobile Apps. 2013. [Online].
Available through: <http://www.socialmediatoday.com/content/benefits-and-
disadvantages-developing-cross-platform-mobile-apps>. [Accessed on 18th November
2016].
Pros & Cons of Developing Cross-Platform Mobile Apps. 2013. [Online]. Available through:
<http://www.cygnismedia.com/blog/developing-cross-platform-mobile-apps/>. [Accessed
on 18th November 2016].

APPENDIX
Cloud computing
It is also considered as a model which enables universal and on-demand access to shared
pool of configurable computing resources. Cloud computing as well as storage solutions provide
users and enterprises with various capabilities to store and process their data in third party data
centers. That may be located far from the user- ranging distance and it may also change across
the world.
Big data
The size of big data determines the value and potential insight and it also ensures to
provide accurate and relevant information about big data volume. It is highly associated with
speed at which the data is generated and processed to meet the demands and challenges prevail in
the path of growth and development.

Mobile data
The source is highly useful for Blockey consulting because it aids in grabbing
information about the market trends and patterns. It has been observed that an integrated digital
platform provides solutions to the business entities regarding the promotion of services in
various market places.