The Impact of Big Data and Business Intelligence on Efficiency

This report provides an in-depth analysis of the significance of big data and business intelligence in enhancing organizational efficiency. It explores how these technologies enable systematic data management, critical for business success. The research investigates the impact of big data and BI systems, employing a theoretical framework and a robust research methodology, including a survey of 50 respondents. The report delves into the importance of data collection, storage, and analysis, alongside the application of value chain theory to assess business profitability and employee performance. It provides a detailed overview of the research process, including the research design, data preparation, and the use of various tools and methodologies. The study concludes with recommendations for operational and strategic improvements, as well as suggestions for future research and enhancement of results.

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

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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

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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.

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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.

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With the process of automation technology executives have to fill up a form. This particular
automation process automatically captures data and information. As a result, the business
executives do not have to apply their brain in maintaining the entire data record both internally as
well as externally (Hashem et al., 2016). Therefore, this particular research study has focused to
make an in-depth overview about the importance of big data and business intelligence for
enhancing business scope. At the same time, after the implementation of big data the
organizational executives are facing innumerable challenges as well. Therefore, this particular
study has focused to evaluate some of the major issues faced by employees after the
implementation of big data and business intelligence.
1.4 Research objectives:
This particular research aims to evaluate the importance of big data and business
intelligence in rendering organizational efficiency. The necessary objectives of this particular
study are as follows:
 To critically evaluate the importance of importance of big data and business intelligence
in rendering organizational efficiency
 To highlight the major factors that affect in implementing big data and business
intelligence within the organization process
 To provide some of the major recommendations on how to overcome of barriers of
implementing big data and BI system
1.5 Key definitions:
Big data:

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Big data is the technology based on which an individual can gather, store and process
internal as well as external data record of an organization. With the help of big data the business
experts tend to keep a constant record over the entire performance level of the employees (Ularu
et al., 2012). At the same time, the overall operational process is controlled with the help of big
data. Like the same way, the entire external record such as customers’ satisfaction feedback,
budget of marketing and promotion, business profitability is also maintained with the help of big
data analysis.
Business intelligence:
The overarching term business intelligence refers to the technology in broader way with
the help of which an efficient individual is able to analyze the captured data in different way.
With the help of this analysis the business managers tend to evaluate their organizational
performance (Chen & Zhang, 2014). Therefore, decision making process of the employees is
highly dependent on this analytical procedure.
Data mining:
Data mining is the systematic process of shifting necessary data and information with the
evidence of recognized patterns that is already captured earlier. While making a business
evaluating before taking strategic decision the role of data mining is highly significant.
1.6 Theories models and hypothesis:
The theory of value chain focuses on three major concept (Mahmood & Afzal, 2013).
Value chain is the systematic approach in examining the development of competitive advantages.
With the concept of business intelligence value chain focuses an in-depth evaluation from data to

Data
Information
Knowledge
Profit
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profit. Vossen (2014) emphasized that after gathering necessary data and information BI enables
to store that data in order to evaluate its major risk factors. If an individual business expert
intends to analyze the organizational profitability BI system helps that individual in evaluating
data by providing a clear analytical representation. In this case big data helps to gather and store
that particular information so that the executives get a proper scope of data analysis. As per the
opinion of Ohlhorst (2012), providing quality of product and services is not the primary role of a
particular business organization. In order to maintain business sustainability an individual has to
focus on collecting necessary information regarding customers’ feedback. Stakeholders’ analysis
and their current needs and demands are highly important for maintaining the performance level
of the employees. In this kind of situation, the importance of big data is undeniable. This
particular advanced technology helps an individual in collecting necessary data in order to store
and analyze.
Figure 1: External value chain process

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(Source: Created by the author)
In order to evaluate business profitability the organization has to follow a proper value
chain process. Géczy (2014) stated that after collecting necessary data and information regarding
the sales growth the information analysts intend to store that data. With the help of business
intelligence system the organization evaluate that particular data in comparison to the
competitors’ market scenario. As a result, the business executives get an in-depth overview about
the competitors’ market position. Like the same way, value chain theory helps to analyze the
internal performance level of the organization. Based on the data collected from performance
management system a particular data record is maintained. On the other hand, the information
analysts intend to gather a systematic report on the overall performance of other business
enterprises. Imran Zoha & Abu-Dayya (2014) opined that the performance record of other
business enterprises helps the business analysts to evaluate on how the organizational employees
should perform. The areas of improvement can be identified with the business performance level
of other organizations. Therefore, in order to enhance the performance level of the employees the
organization should focus on big data analysis by applying value chain theory.

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Figure 2: BI internal value chain Process
(Source: Dean, 2014)
2. Methodology:
Research methodology is the systematic process of collecting necessary data and
information from various reliable resources. For this specific study the researcher has used
several methodological tools for accomplishing the entire process of research work
systematically (Dhar, 2013). In this specific study the methodology has focused to discuss a
systematic research design for conducting the research issue from various perspectives.
2.1 Research design:
Research design is the overall representation on how the entire research work has been
performed. With the help of different methodological tools the research work has been critically
Business performance Enterprise Report Business Analysis

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evaluated. In the specific study the researcher has focused to use positivism research philosophy
with the help of deductive research approach along with descriptive research design. Positivism
research philosophy is effective for making a keen observation about the dependent and
independent variable of research issue (Calof, Richards & Smith, 2015). As per the opinion of
different positivists observation is repeatable but the phenomenon is isolated. With the help of
keen observation the research is able to analyze the data from various perspectives. Deductive
approach is the systematic process that helps to evaluate data from various case studies. In this
specific research data has been evaluated by using descriptive research design for explaining the
research variables from different point of view. These specific methodological tools are highly
beneficial for evaluating the necessary impacts of big data and business intelligence in rendering
organizational efficiency (Peppard & Ward, 2016). .
2.2 Research project performed
In order to perform the research project the researcher in this specific study has focused
to use those methodology tools in various ways. Use of deductive approach along with
descriptive research design is highly significant (Jagadish et al., 2014). With the help of this
specific research approach the researcher has collected necessary information on how big data is
possessed with a major impact on the overall performance level of the organization.
2.3 Data preparation
Before conducting the research work an individual researcher has to collect various data
from different authentic resources. Data collection resource is possessed with two major types
including primary source of research and secondary source of research work (Obeidat et al.,
2015). Primary source of research work enables in gathering necessary information from survey