This document presents a case study on applying a data analytics approach to conducting a systematic literature review on master data management. It outlines the steps taken, including defining review questions, searching multiple databases and sources, combining and preprocessing the data, and performing descriptive and text analyses. The analyses addressed questions about trends in publications over time, primary databases, publication types, and frequent keywords. This provided insights into the progress and topics within the master data management research domain. The presented structured approach aims to improve the replicability of systematic literature reviews.

1. Applying Data Analytics Approach
in Systematic Literature Review:
Master Data Management Case Study
Faizura Haneem, Nazri Kama, Rosmah Ali, Ali Selamat
Advanced Informatics School
Universiti Teknologi Malaysia
26 Sept 2017
16th International Conference on Intelligent Software Methodologies, Tools, and Techniques

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Problem Background
What is the progress of the
research domain? Does it
still relevant to study?
Which database should I
go to search the literature
of the research domain?
What are the common/
related terms in the
research domain?
What topics that still need
an improvement of
evidence in the research
domain?

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Systematic Literature Review
What remains unclear
- how they practically conducted the
SLR protocol; and
- what tools they employed to assist in
performing activities in each SLR stage.
Thus, the SLR would not be easily
replicable to other new researchers as
they would need to create their own
ways of doing activities in conducting
SLR.
Okoli and Schabram 2010
Therefore, this paper attempts to address the
replicability issue by presenting the SLR
procedures using the Data Analytics
approach.

4. 4 ADVANCED INFORMATICS SCHOOL, UTM
Data
Pre-processing &
Transformation
Data Analytics Technique in SLR
Problem
Formulation
Data
Selection
Data
Analysis
.
.
.
Combine
searching
result
Remove
article
duplications
Perform
Descriptive
Analysis
Perform
Text
Analysis
Searching result
Source 1
Searching result
Source 2
Searching result
Source ..n
Combined
dataset
Master
dataset
Define
Review
Questions
Search
articles from
selected
sources
PLANNING SELECTION EXTRACTION EXECUTION
SLR Stages
Okoli, 2010
Data Analytics
Fayyad 1996;
Jo 2013;
Provost and Fawcett 2013

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Case study: Master Data Management
Master Data Management is one of the key
functions in Data Management Body of
Knowledge.
(DAMA-DMBOK, 2009)

6. 6 ADVANCED INFORMATICS SCHOOL, UTM
Problem
Formulation
Define
Review
Questions
Data Analytics Technique in MDM Literature Review
ID Questions Purpose
RQ1 How did the numbers of the literature of
MDM vary by year?
To know the progress and current state
of the research
RQ2 Which database contains the most MDM
research work among the selected source
of databases?
To know the primary sources of the
research
RQ3 How do the MDM publications vary in
different publication types?
To know the trend of publication types of
the research
RQ4 Which keywords are the most frequently
used in searching the MDM research
domain?
To understand the common terms and
topic of interest in the research
Aim: To understand the progress of MDM research domain

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Problem
Formulation
Data
Selection
.
.
.
Searching result
Source 1
Searching result
Source 2
Searching result
Source ..n
Define
Review
Questions
Search
articles from
selected
sources
Data Analytics Technique in MDM Literature Review
Database No. articles
found
ACM Digital Library 15
Emerald 14
Gartner 220
IEEE 18
Science Direct 48
Scopus 145
Springer Link 293
Web of Science, 12
Google Scholar 9
Total 777
Search keyword strings are (“master data”), (“management”),
(“Master Data Management”), and (“MDM”). Then, the search
strings were joint using “AND” and “OR” Boolean operators.

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Data Analytics Technique in MDM Literature Review
Output File from searching process of ACM Digital Library
(File name: acm_searching.csv)
SCOPUS export function
IEEE export function

9. 9 ADVANCED INFORMATICS SCHOOL, UTM
Problem
Formulation
Data
Selection
Data
Pre-processing &
Transformation
.
.
.
Combine
searching
result
Remove
article
duplications
Searching result
Source 1
Searching result
Source 2
Searching result
Source ..n
Combined
dataset
Master
dataset
Define
Review
Questions
Search
articles from
selected
sources
Data Analytics Technique in MDM Literature Review
735 publications
777 publications

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Data Analytics Technique in MDM Literature Review
Output File after combining and removing duplicates (File name: master.csv)

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Data
Pre-processing &
Transformation
Problem
Formulation
Data
Selection
Data
Analysis
.
.
.
Combine
searching
result
Remove
article
duplications
Perform
Descriptive
Analysis
Perform
Text
Analysis
Searching result
Source 1
Searching result
Source 2
Searching result
Source ..n
Combined
dataset
Master
dataset
Define
Review
Questions
Search
articles from
selected
sources
Data Analytics Technique in MDM Literature Review

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Descriptive Analysis
July 2016
RQ1: How did the numbers
of publications of MDM vary
by year?
Articles distribution by Publication Year
Slope of Enlightenment:
More instances of how the technology
can benefit the enterprise become
more widely understood.

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Descriptive Analysis
RQ2: Which database contains
the most MDM research work
among the selected source of
databases?
Articles Distribution by sources
This analysis is important so that
in future, the researcher could
focus on the primary databases
in searching the literature.

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Descriptive Analysis
RQ3: How do the MDM
publications vary in different
publication types?
Articles Distribution by Publication Types
This analysis could help the
researchers for their future references.
For academic papers, it is highly
recommended to cite the paper from
journals and conference proceding.

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Text Analysis
RQ4: Which keywords are the most
frequently used in searching the
MDM research domain?
Topic of interest Frequency
master data 148
data quality 70
business intelligence 57
business process 47
data integration 41
big data 34
data governance 29
information governance 29
data management 28
product data 28
information systems 26
information management 25
business processes 21
data sources 21
best practices 19
data model 18
information quality 18
research highlights 18
customer data 17
case study 16
Word cloud of 1-gram model represents
common terms used in the research
Table of 2-gram model represents topic of
interest in the research

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Text Analysis
Topics that need attention for improvement
Example:
• Risk management
• Adoption model
Master data, data quality, business intelligent

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Contribution
Outcome-based
approach
Effective
approach
Repetitive
approach
Data Analytics Technique in
Literature Review
Structured approach in
literature review
Repeatable method for
other research domain
Descriptive and Text Analysis
helps researcher in
strategizing the research

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Thank You