BUS 421- Importance of Big Data & Business Intelligence

Running head: RESEARCH PROCESS
Research Process
Name of the Student
Name of the University
Author’s Note

1RESEARCH PROCESS
Executive Summary
This particular study has focused to make an in-depth overview about the importance of big data
and business intelligence in rendering organizational efficiency. After the emergence of
advanced technology business organizations are successfully able to maintain database
systematically. This particular study has focused to make a critical evaluation on how big data as
well as BI system plays a major significance in rendering the success of business. After identify
the research issue the study has made an in-depth theoretical analysis by involving the point of
views of eminent research scholars. An effective research methodology has also been conducted.
With the help of primary source of data collection technique the researcher has focused to make
an effective survey where 50 respondents have been involved. In addition, based on the result
and data analysis some of the relevant recommendations have also been provided.

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Table of Contents
1. Introduction..................................................................................................................................4
1.1 Purpose of the study...................................................................................................................4
1.2 Research scope:.........................................................................................................................5
1.3 Research background:................................................................................................................5
1.4 Research objectives:..................................................................................................................6
1.5 Key definitions:.........................................................................................................................6
1.6 Theories models and hypothesis:...............................................................................................7
2. Methodology:.............................................................................................................................10
2.1 Research design:......................................................................................................................10
2.2 Research project performed.....................................................................................................11
2.3 Data preparation.......................................................................................................................11
2.4 Models and concepts used.......................................................................................................12
2.5 Sequence of events..................................................................................................................12
2.6 Use of special tools..................................................................................................................13
2.7 Methods used for record data..................................................................................................13
2.8 Project procedure.....................................................................................................................13
2.9 Experimental procedure...........................................................................................................13
3. Result and discussion.................................................................................................................14
4. Conclusion:................................................................................................................................22
5. Recommendations:....................................................................................................................23
5.1 Operational recommendation:.................................................................................................24
5.2 Strategic recommendation:......................................................................................................24

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5.3 Future development in the research project:............................................................................24
5.4 How to improve the result:......................................................................................................25
Reference List:...............................................................................................................................26
Appendix: Gnatt Chart...................................................................................................................27

4RESEARCH PROCESS
1. Introduction
Business operations are going to change their mode of wings with the gradual progress of
advanced technology. At the very initial stage business experts intended to maintain their overall
data record with the help of advanced technology. This particular study has provided an in-depth
overview about the importance of big data and business intelligence in rendering
organizational efficiency. The primary function of big data is to store and possess data from
internally and externally. The concept of big data actually refers to the large volume of data that
is primarily available in online as well as in the cloud.
1.1 Purpose of the study
As per the point of view of Minelli, Chambers and Dhiraj (2012), sources of data are
diverse. Therefore, the data generally remains unstructured initially. With the help of big data the
individual experts can store the process the internal data resources as per the requirement. After
the emergence of big data the business organizations are able to maintain a dada record
systematically. Integrating advanced analytics for big data with the business intelligent system is
one of the most effective integration with the help of which the business executives are able to
run the entire business process systematically (Wamba et el., 2015). The overarching term
business intelligence implies generation, aggregation, analysis and visualizations. The primary
aim of business intelligence is to generate and gather data in order to store for maintaining proper
database (Zhou & Yang, 2016). However, the purpose of this particular research is to evaluate
the importance of big data and business intelligence for enhancing organizational efficiency.

5RESEARCH PROCESS
1.2 Research scope:
It has been observed that business organizations especially in the telecommunication
sectors are not able to maintain proper data record regarding the performance level of the
employees as well as on the profitability of business. Customers are not getting proper services
and response from the service providers (Zheng, Zhu & Lyu, 2013). In this kind of situation, the
purchasers intended to show their extreme level of reluctance in using the products and services.
Therefore, this particular topic has become a major issue for numerous practitioners based on
which they have conducted an effective research work.
After the emergence of big data and business intelligence people belonging to different
geographical markets are getting effective services. At the same time, the business executives are
successfully able to maintain internal data record systematically. Employees are getting justified
appreciation of their performance level (Gopalkrishnan et al., 2012). Consequently, the entire
process of business has become more systematic and rhythmic. Customers are getting services at
the proper time. The interpersonal communication between the business managers and the
employees has become effective due to transparency in overall data record (Edgeman, 2013).
1.3 Research background:
The technology is growing so fast in past few years that business experts do not have to
additional effort in maintaining overall database of organizational performance manually. In the
realm of data mining along with big data an individual is allowed to keep a constant control over
the entire process of business. Big data enables an individual in gathering, storing and visualizing
entire data record with the help of business intelligence (Kwon, Lee & Shin, 2014). In this kind
of situation, business executives do not have to put additional effort in maintaining the database.