This document summarizes a study that reviewed research on business intelligence (BI) to support strategic decision making from 2010 to 2017. The review followed a systematic literature review process and analyzed 14 papers on BI. The review found that BI research has grown and followed technology trends over this period. Early papers discussed BI implementations in education and e-learning systems, while later papers examined BI in areas like call centers, healthcare, and small businesses. Frameworks for integrating BI with other systems like ERP were also proposed. Overall, the review showed the expanding scope and uses of BI in strategic decision support across different organizations and industries.
PREDICTIVE BUSINESS INTELLIGENCE: CONSUMER GOODS SALES FORECASTING USING ARTI...IAEME Publication
Business competition between manufacturing businesses in Indonesia is getting
tighter along with the development of businesses from competing companies that have
similar businesses. One strategy that can be applied by this company is Business
Intelligence, that is by utilizing the data that is already available to help in better
decision making, such as decisions based on facts stored in the data, precisely namely
the lack of errors in the presentation of reports, and fast that is, cut down on the time
for making the usual report. The method proposed by the author is a method that can
be used to predict sales value based on existing sales data (sales forecasting). By
implementing Business Intelligence and data mining, companies can learn from the
data that has been collected, can evaluate the performance of the sales department,
can understand market trends from the products sold, and can predict future sales
levels. In addition, Business Intelligence can display detailed transaction data
recapitulation quickly.
ASSESSING THE ORGANIZATIONAL READINESS FOR IMPLEMENTING BI SYSTEMSijitcs
Implementation of business intelligence systems (BIS) is very complex and requires a lot of resources and
time. Business intelligence (BI) is a difficult concept and has a multi-tier architecture. The metadata causes
the complexity of the BI. That is why a BI readiness model is required. The frequency of BI maturity
models, such as the data warehousing (TDW), has been provided, but there are few frameworks for
measuring the readiness. Moreover, readiness frameworks often provide a general model for all
organizations. Hence, the objective of this study was to examine whether the factors affecting the
organizational readiness for BI implementation in all organizations are identical. For this purpose, based
on a comprehensive literature review, four factors of culture, people, strategy, and management were
extracted as the most important factors affecting the readiness and implementation of BI, and they were
studied in three educational, commerce, and IT organizations. Based on the findings, different factors
affect various organizations, and using a general model should not be advised.
4Emerging Trends in Business IntelligenceITS 531.docxblondellchancy
4
Emerging Trends in Business Intelligence
ITS 531-20 Business Intelligence
Emerging Trends in Business Intelligence
By
Vivek Reddy Chinthakuntla
Soumya Kalakonda
To Professor Dr. Kelly Bruning
University of the Cumberlands
Table of Contents
Abstract.......................................................................................................................................4
Business Intelligence with Data Analytics................................................................................................6
Partial Application of BI with Data Analytics...........................................................................................7
Future of BI and Data Analytics.................................................................................................................8
Positive and negative impacts of BI ..........................................................................................................9
Recommendations ....................................................................................................................................9
Cloud Computing with BI.......................................................................................................................10
Practical Implications..............................................................................................................................10
Future of Cloud Computing with BI........................................................................................................14
Advantages and Disadvantages................................................................................................................15
Recommendations....................................................................................................................................15
Introduction to Business Drive Data Intelligence.....................................................................................16
Data Governance of Self-Service BI ........................................................................................................19
Future of BI depends on Data Governance..............................................................................................19
Conclusion................................................................................................................................................20
References................................................................................................................................................ 22
Abstract:
This paper is based on the proposition used, and the outcomes attained, using data management to expedite the changes in the operation from a conventional old-fashioned practice to an automatic Business Intelligence data analytics system, presenting timely, reliable system production data by using Business Intelligence tools and technologies. This paper explains the importance and productivity of ...
PREDICTIVE BUSINESS INTELLIGENCE: CONSUMER GOODS SALES FORECASTING USING ARTI...IAEME Publication
Business competition between manufacturing businesses in Indonesia is getting
tighter along with the development of businesses from competing companies that have
similar businesses. One strategy that can be applied by this company is Business
Intelligence, that is by utilizing the data that is already available to help in better
decision making, such as decisions based on facts stored in the data, precisely namely
the lack of errors in the presentation of reports, and fast that is, cut down on the time
for making the usual report. The method proposed by the author is a method that can
be used to predict sales value based on existing sales data (sales forecasting). By
implementing Business Intelligence and data mining, companies can learn from the
data that has been collected, can evaluate the performance of the sales department,
can understand market trends from the products sold, and can predict future sales
levels. In addition, Business Intelligence can display detailed transaction data
recapitulation quickly.
ASSESSING THE ORGANIZATIONAL READINESS FOR IMPLEMENTING BI SYSTEMSijitcs
Implementation of business intelligence systems (BIS) is very complex and requires a lot of resources and
time. Business intelligence (BI) is a difficult concept and has a multi-tier architecture. The metadata causes
the complexity of the BI. That is why a BI readiness model is required. The frequency of BI maturity
models, such as the data warehousing (TDW), has been provided, but there are few frameworks for
measuring the readiness. Moreover, readiness frameworks often provide a general model for all
organizations. Hence, the objective of this study was to examine whether the factors affecting the
organizational readiness for BI implementation in all organizations are identical. For this purpose, based
on a comprehensive literature review, four factors of culture, people, strategy, and management were
extracted as the most important factors affecting the readiness and implementation of BI, and they were
studied in three educational, commerce, and IT organizations. Based on the findings, different factors
affect various organizations, and using a general model should not be advised.
4Emerging Trends in Business IntelligenceITS 531.docxblondellchancy
4
Emerging Trends in Business Intelligence
ITS 531-20 Business Intelligence
Emerging Trends in Business Intelligence
By
Vivek Reddy Chinthakuntla
Soumya Kalakonda
To Professor Dr. Kelly Bruning
University of the Cumberlands
Table of Contents
Abstract.......................................................................................................................................4
Business Intelligence with Data Analytics................................................................................................6
Partial Application of BI with Data Analytics...........................................................................................7
Future of BI and Data Analytics.................................................................................................................8
Positive and negative impacts of BI ..........................................................................................................9
Recommendations ....................................................................................................................................9
Cloud Computing with BI.......................................................................................................................10
Practical Implications..............................................................................................................................10
Future of Cloud Computing with BI........................................................................................................14
Advantages and Disadvantages................................................................................................................15
Recommendations....................................................................................................................................15
Introduction to Business Drive Data Intelligence.....................................................................................16
Data Governance of Self-Service BI ........................................................................................................19
Future of BI depends on Data Governance..............................................................................................19
Conclusion................................................................................................................................................20
References................................................................................................................................................ 22
Abstract:
This paper is based on the proposition used, and the outcomes attained, using data management to expedite the changes in the operation from a conventional old-fashioned practice to an automatic Business Intelligence data analytics system, presenting timely, reliable system production data by using Business Intelligence tools and technologies. This paper explains the importance and productivity of ...
"xLogia Tech: Business Intelligence (BI) is a set of technologies, processes, and tools that help organizations collect, analyze, and present business information to support decision-making. The core components of business intelligence are diverse and encompass various aspects of data management and analysis.
1. Data Sources and Integration: BI begins with data. Organizations collect data from various sources such as transactional databases, spreadsheets, and external data providers. Data integration involves combining, cleaning, and transforming this raw data into a unified and consistent format for analysis. This process ensures that decision-makers have access to accurate and reliable information.
2. Data Warehousing: A data warehouse is a central repository that stores large volumes of structured and sometimes unstructured data. It is designed to support reporting and analysis. Data warehouses provide a historical perspective and allow for complex queries to be executed efficiently."
This report is an outcome of research on topic 'Business Intelligence', which is a hot topic now. This research report is prepared for the partial fulfillment of the requirements for 'Current Developments Module' of B.Sc.Computing degree.
It demonstrates details of the Business Intelligence in today's world and explains BI architecture. It also provides detailed analysis on its use in the current business environment.
4 Concepts of Business Intelligence xLogia.pdfXlogia Tech
The core components of Business Intelligence (BI) encompass data collection, storage, analysis, and presentation. Data is collected from diverse sources, then transformed and stored in a centralized data warehouse or repository. Analysis involves processing data using algorithms, statistical methods, and machine learning to extract insights. Finally, the results are presented through visualizations, dashboards, and reports to facilitate informed decision-making. This cyclical process ensures that organizations can harness data effectively, gaining actionable insights to enhance performance and strategy.
xLogia, BI consulting, business intelligence consultant, power business intelligence, business intelligence platform
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Mobile Business Intelligence Acceptance Model for Organisational Decision MakingjournalBEEI
Mobile Business Intelligence (BI) is the ability to access BI-related data such as key performance indicators (KPIs), business metric and dashboard through mobile device. Mobile BI addresses the use-case of remote or mobile workers that need on-demand access to business-critical data. User acceptance on mobile BI is an essential in order to identify which factors influence the user acceptance of mobile BI application. Research on mobile BI acceptance model on organizational decision-making is limited due to the novelty of mobile BI as newly emerged innovation. In order to answer gap of the adoption of mobile BI in organizational decision-making, this paper reviews the existing works on mobile BI Acceptance Model for organizational decision-making. Two user acceptance models which are Technology Acceptance Model and Technology Acceptance Model for Mobile Services will be review. Realizing the essential of strategic organizational decision-making in determining success of organizations, the potential of mobile BI in decision-making need to be explore. Since mobile BI still in its infancy, there is a need to study user acceptance and usage behavior on mobile BI in organizational decision-making. There is still opportunity for further investigate the impact of mobile BI on organizational decision-making.
Business Analytics
Business Intelligence
OLAP
OLTP
BI
BA
architecture of BI
techniques of BI and BA
star schema
online analytical processing
online transactional processing
To succeed in a modern digital world, healthcare industry must be data driven. Hospitals and healthcare institutions desire to make their workflows more efficient in order to meet demand. One way they can achieve this is with the help of business intelligence BI software. BI refers to the acquisition, correlation, and transformation of data into insightful and actionable information through analytics. Utilizing a BI software is an indispensable part of the growth process toward becoming data driven. In the modern healthcare environment, almost all BI initiatives will be driven by data analytics. This paper provides a brief examination of the deployment and constraints of business intelligence in healthcare. Matthew N. O. Sadiku | Adedamola Omotoso | Sarhan M. Musa ""Healthcare Business Intelligence: A Primer"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-2 , February 2020,
URL: https://www.ijtsrd.com/papers/ijtsrd30041.pdf
Paper Url : https://www.ijtsrd.com/engineering/other/30041/healthcare-business-intelligence-a-primer/matthew-n-o-sadiku
Recognition and Ranking Critical Success Factors of Business Intelligence in ...ijcsit
Background and Aim: Business Intelligence, not as a tool of a product but as a new approach is
propounded in organizations to make tough decisions in business as shortly as possible. Hospital managers
often need business intelligence in their fiscal, operational, and clinical reports and indices. Recognition of
critical success factors (CSF) is necessary for each organization or project. Yet, there is not a valid set of
SCF for implementing business intelligence. The main goal of recognition and ranking CSF is
implementation of a business intelligent system in hospitals to increase success factor of application of
business intelligence in health and treatment sector.
RMD24 | Debunking the non-endemic revenue myth Marvin Vacquier Droop | First ...BBPMedia1
Marvin neemt je in deze presentatie mee in de voordelen van non-endemic advertising op retail media netwerken. Hij brengt ook de uitdagingen in beeld die de markt op dit moment heeft op het gebied van retail media voor niet-leveranciers.
Retail media wordt gezien als het nieuwe advertising-medium en ook mediabureaus richten massaal retail media-afdelingen op. Merken die niet in de betreffende winkel liggen staan ook nog niet in de rij om op de retail media netwerken te adverteren. Marvin belicht de uitdagingen die er zijn om echt aansluiting te vinden op die markt van non-endemic advertising.
Digital Transformation and IT Strategy Toolkit and TemplatesAurelien Domont, MBA
This Digital Transformation and IT Strategy Toolkit was created by ex-McKinsey, Deloitte and BCG Management Consultants, after more than 5,000 hours of work. It is considered the world's best & most comprehensive Digital Transformation and IT Strategy Toolkit. It includes all the Frameworks, Best Practices & Templates required to successfully undertake the Digital Transformation of your organization and define a robust IT Strategy.
Editable Toolkit to help you reuse our content: 700 Powerpoint slides | 35 Excel sheets | 84 minutes of Video training
This PowerPoint presentation is only a small preview of our Toolkits. For more details, visit www.domontconsulting.com
"xLogia Tech: Business Intelligence (BI) is a set of technologies, processes, and tools that help organizations collect, analyze, and present business information to support decision-making. The core components of business intelligence are diverse and encompass various aspects of data management and analysis.
1. Data Sources and Integration: BI begins with data. Organizations collect data from various sources such as transactional databases, spreadsheets, and external data providers. Data integration involves combining, cleaning, and transforming this raw data into a unified and consistent format for analysis. This process ensures that decision-makers have access to accurate and reliable information.
2. Data Warehousing: A data warehouse is a central repository that stores large volumes of structured and sometimes unstructured data. It is designed to support reporting and analysis. Data warehouses provide a historical perspective and allow for complex queries to be executed efficiently."
This report is an outcome of research on topic 'Business Intelligence', which is a hot topic now. This research report is prepared for the partial fulfillment of the requirements for 'Current Developments Module' of B.Sc.Computing degree.
It demonstrates details of the Business Intelligence in today's world and explains BI architecture. It also provides detailed analysis on its use in the current business environment.
4 Concepts of Business Intelligence xLogia.pdfXlogia Tech
The core components of Business Intelligence (BI) encompass data collection, storage, analysis, and presentation. Data is collected from diverse sources, then transformed and stored in a centralized data warehouse or repository. Analysis involves processing data using algorithms, statistical methods, and machine learning to extract insights. Finally, the results are presented through visualizations, dashboards, and reports to facilitate informed decision-making. This cyclical process ensures that organizations can harness data effectively, gaining actionable insights to enhance performance and strategy.
xLogia, BI consulting, business intelligence consultant, power business intelligence, business intelligence platform
kjasdxb sdawhbdx sxddscadd ed hqd apple boy cat dog elep dog cat pu x kjasdxb sdawhbdx sxddscadd ed hqd apple boy cat dog elep dog cat pu x kjasdxb sdawhbdx sxddscadd ed hqd apple boy cat dog elep dog cat pu x kjasdxb sdawhbdx sxddscadd ed hqd apple boy cat dog elep dog cat pu x kjasdxb sdawhbdx sxddscadd ed hqd apple boy cat dog elep dog cat pu x kjasdxb sdawhbdx sxddscadd ed hqd apple boy cat dog elep dog cat pu x kjasdxb sdawhbdx sxddscadd ed hqd apple boy cat dog elep dog cat pu x kjasdxb sdawhbdx sxddscadd ed hqd apple boy cat dog elep dog cat pu x kjasdxb sdawhbdx sxddscadd ed hqd apple boy cat dog elep dog cat pu x kjasdxb sdawhbdx sxddscadd ed hqd apple boy cat dog elep dog cat pu x kjasdxb sdawhbdx sxddscadd ed hqd apple boy cat dog elep dog cat pu x kjasdxb sdawhbdx sxddscadd ed hqd apple boy cat dog elep dog cat pu x kjasdxb sdawhbdx sxddscadd ed hqd apple boy cat dog elep dog cat pu x kjasdxb sdawhbdx sxddscadd ed hqd apple boy cat dog elep dog cat pu x kjasdxb sdawhbdx sxddscadd ed hqd apple boy cat dog elep dog cat pu x kjasdxb sdawhbdx sxddscadd ed hqd apple boy cat dog elep dog cat pu x kjasdxb sdawhbdx sxddscadd ed hqd apple boy cat dog elep dog cat pu x kjasdxb sdawhbdx sxddscadd ed hqd apple boy cat dog elep dog cat pu x kjasdxb sdawhbdx sxddscadd ed hqd apple boy cat dog elep dog cat pu x kjasdxb sdawhbdx sxddscadd ed hqd apple boy cat dog elep dog cat pu x kjasdxb sdawhbdx sxddscadd ed hqd apple boy cat dog elep dog cat pu x kjasdxb sdawhbdx sxddscadd ed hqd apple boy cat dog elep dog cat pu x kjasdxb sdawhbdx sxddscadd ed hqd apple boy cat dog elep dog cat pu x kjasdxb sdawhbdx sxddscadd ed hqd apple boy cat dog elep dog cat pu x kjasdxb sdawhbdx sxddscadd ed hqd apple boy cat dog elep dog cat pu x kjasdxb sdawhbdx sxddscadd ed hqd apple boy cat dog elep dog cat pu x kjasdxb sdawhbdx sxddscadd ed hqd apple boy cat dog elep dog cat pu x kjasdxb sdawhbdx sxddscadd ed hqd apple boy cat dog elep dog cat pu x kjasdxb sdawhbdx sxddscadd ed hqd apple boy cat dog elep dog cat pu x kjasdxb sdawhbdx sxddscadd ed hqd apple boy cat dog elep dog cat pu x kjasdxb sdawhbdx sxddscadd ed hqd apple boy cat dog elep dog cat pu x kjasdxb sdawhbdx sxddscadd ed hqd apple boy cat dog elep dog cat pu x
Mobile Business Intelligence Acceptance Model for Organisational Decision MakingjournalBEEI
Mobile Business Intelligence (BI) is the ability to access BI-related data such as key performance indicators (KPIs), business metric and dashboard through mobile device. Mobile BI addresses the use-case of remote or mobile workers that need on-demand access to business-critical data. User acceptance on mobile BI is an essential in order to identify which factors influence the user acceptance of mobile BI application. Research on mobile BI acceptance model on organizational decision-making is limited due to the novelty of mobile BI as newly emerged innovation. In order to answer gap of the adoption of mobile BI in organizational decision-making, this paper reviews the existing works on mobile BI Acceptance Model for organizational decision-making. Two user acceptance models which are Technology Acceptance Model and Technology Acceptance Model for Mobile Services will be review. Realizing the essential of strategic organizational decision-making in determining success of organizations, the potential of mobile BI in decision-making need to be explore. Since mobile BI still in its infancy, there is a need to study user acceptance and usage behavior on mobile BI in organizational decision-making. There is still opportunity for further investigate the impact of mobile BI on organizational decision-making.
Business Analytics
Business Intelligence
OLAP
OLTP
BI
BA
architecture of BI
techniques of BI and BA
star schema
online analytical processing
online transactional processing
To succeed in a modern digital world, healthcare industry must be data driven. Hospitals and healthcare institutions desire to make their workflows more efficient in order to meet demand. One way they can achieve this is with the help of business intelligence BI software. BI refers to the acquisition, correlation, and transformation of data into insightful and actionable information through analytics. Utilizing a BI software is an indispensable part of the growth process toward becoming data driven. In the modern healthcare environment, almost all BI initiatives will be driven by data analytics. This paper provides a brief examination of the deployment and constraints of business intelligence in healthcare. Matthew N. O. Sadiku | Adedamola Omotoso | Sarhan M. Musa ""Healthcare Business Intelligence: A Primer"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-2 , February 2020,
URL: https://www.ijtsrd.com/papers/ijtsrd30041.pdf
Paper Url : https://www.ijtsrd.com/engineering/other/30041/healthcare-business-intelligence-a-primer/matthew-n-o-sadiku
Recognition and Ranking Critical Success Factors of Business Intelligence in ...ijcsit
Background and Aim: Business Intelligence, not as a tool of a product but as a new approach is
propounded in organizations to make tough decisions in business as shortly as possible. Hospital managers
often need business intelligence in their fiscal, operational, and clinical reports and indices. Recognition of
critical success factors (CSF) is necessary for each organization or project. Yet, there is not a valid set of
SCF for implementing business intelligence. The main goal of recognition and ranking CSF is
implementation of a business intelligent system in hospitals to increase success factor of application of
business intelligence in health and treatment sector.
RMD24 | Debunking the non-endemic revenue myth Marvin Vacquier Droop | First ...BBPMedia1
Marvin neemt je in deze presentatie mee in de voordelen van non-endemic advertising op retail media netwerken. Hij brengt ook de uitdagingen in beeld die de markt op dit moment heeft op het gebied van retail media voor niet-leveranciers.
Retail media wordt gezien als het nieuwe advertising-medium en ook mediabureaus richten massaal retail media-afdelingen op. Merken die niet in de betreffende winkel liggen staan ook nog niet in de rij om op de retail media netwerken te adverteren. Marvin belicht de uitdagingen die er zijn om echt aansluiting te vinden op die markt van non-endemic advertising.
Digital Transformation and IT Strategy Toolkit and TemplatesAurelien Domont, MBA
This Digital Transformation and IT Strategy Toolkit was created by ex-McKinsey, Deloitte and BCG Management Consultants, after more than 5,000 hours of work. It is considered the world's best & most comprehensive Digital Transformation and IT Strategy Toolkit. It includes all the Frameworks, Best Practices & Templates required to successfully undertake the Digital Transformation of your organization and define a robust IT Strategy.
Editable Toolkit to help you reuse our content: 700 Powerpoint slides | 35 Excel sheets | 84 minutes of Video training
This PowerPoint presentation is only a small preview of our Toolkits. For more details, visit www.domontconsulting.com
3.0 Project 2_ Developing My Brand Identity Kit.pptxtanyjahb
A personal brand exploration presentation summarizes an individual's unique qualities and goals, covering strengths, values, passions, and target audience. It helps individuals understand what makes them stand out, their desired image, and how they aim to achieve it.
Discover the innovative and creative projects that highlight my journey throu...dylandmeas
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Falcon stands out as a top-tier P2P Invoice Discounting platform in India, bridging esteemed blue-chip companies and eager investors. Our goal is to transform the investment landscape in India by establishing a comprehensive destination for borrowers and investors with diverse profiles and needs, all while minimizing risk. What sets Falcon apart is the elimination of intermediaries such as commercial banks and depository institutions, allowing investors to enjoy higher yields.
The world of search engine optimization (SEO) is buzzing with discussions after Google confirmed that around 2,500 leaked internal documents related to its Search feature are indeed authentic. The revelation has sparked significant concerns within the SEO community. The leaked documents were initially reported by SEO experts Rand Fishkin and Mike King, igniting widespread analysis and discourse. For More Info:- https://news.arihantwebtech.com/search-disrupted-googles-leaked-documents-rock-the-seo-world/
RMD24 | Retail media: hoe zet je dit in als je geen AH of Unilever bent? Heid...BBPMedia1
Grote partijen zijn al een tijdje onderweg met retail media. Ondertussen worden in dit domein ook de kansen zichtbaar voor andere spelers in de markt. Maar met die kansen ontstaan ook vragen: Zelf retail media worden of erop adverteren? In welke fase van de funnel past het en hoe integreer je het in een mediaplan? Wat is nu precies het verschil met marketplaces en Programmatic ads? In dit half uur beslechten we de dilemma's en krijg je antwoorden op wanneer het voor jou tijd is om de volgende stap te zetten.
Attending a job Interview for B1 and B2 Englsih learnersErika906060
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Improving profitability for small businessBen Wann
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Affordable Stationery Printing Services in Jaipur | Navpack n PrintNavpack & Print
Looking for professional printing services in Jaipur? Navpack n Print offers high-quality and affordable stationery printing for all your business needs. Stand out with custom stationery designs and fast turnaround times. Contact us today for a quote!
2. graphical SQL environment generating SQL code according
to the graphical commands. Standard Language Questions
(SQL) are standard database languages for data access (read,
insert, update, delete) and manipulations in relational
database management systems [7] . SQL allows users also to
perform some simple calculations on data such as generating
trends from the past, current, and future possible business
activities. The architecture of a business intelligence system
consists of six main components [8], they are Data Source,
Data Warehouse, Data Exploration, Data Mining,
Optimization, Decisions. Business intelligence is divided into
five types or categories [7], they are Enterprise Reporting,
Cube Analysis, Ad Hoc Query and Analysis, Statistical
Analysis and Data Mining, Delivery Report and Alert.
BI and its role can increase the company's competitive
advantage through the utilization of various data, information
and knowledge owned by the company as raw material in
decision making process. Some researchers propose the BI
framework to help organizations / companies in order to help
improve efficiency, the accuracy of decision making, and
achieve the desired goals [9] .
Then, we review several research articles that discussed
about BI in the last 8 years. This review can provide an
overview the growth of the research in BI have covered
various fields, and to know the trend of technology use for
BI. The objectives to be achieved in this study is to conduct
the comparison of the use and implementation of BI in the
various organization. Also, the use of BI in the decision-
making process. Systematic Literature Review (SLR) isused
in the process of review in this study.
II. RESEARCH METHOD
This study adoption a Systematic Literature Review
(SLR) for the article review process. SLR is a concept of
identifying, evaluating and interpreting all available
researches related to a specific research query, topic area or
phenomenon of interest [10][11]. In this study SLR is used to
perform a comprehensive study of research in Business
Intelligence area. The stages of the SLR are selection process
of sources/articles, criteria selection such as keywords, article
classification [12]. Then, the research methodology of this
thesis is follow the stages of the SLR. The research a
methodology in this study has 4 Phases, as describe in the Fig.
1 :
Figure 1. Research Methodology of This Study
The methodology of this study begins with Phase 1 is
Selection of appropriate paper in BI areas. This phase has 2
steps. The first step is search in online index journal database
Scopus and ScienceDirect which are depicted in Table 1.
Some keywords are used to find relevant articles in the online
index journal database. The keywords have been used are
Business Intelligence, Business Intelligence for decision-
making, Business Intelligence techniques, and Business
Intelligence analytic. Journal articles and conference papers
have been selected in this searching. In Second step is sorting
out the articles in order to extract with the relevant BI topic
areas. Afterwards, the articles selected have been ordering by
year of issues with range of the year between 2010 until 2017.
The scope of BI areas in this study is the use of BI in the
development of IT/IS system, with the aim of enhancing
corporate or organization activities. It is done intend to see
the trend that occurred. Thereafter, in Phase 2 we take a
review of the cases on those articles to see the variation and
changes of BI research area. Classifying methods or
technology will be done in Phase 3. Then, Phase 4 perform
the finding of advantage and disadvantages of the BI
implementation in each article.
TABLE 1. ELECTRONIC DATABASE USED
Online Index Journal
Database
URL
Scopus https://www.scopus.com/
ScienceDirect https://www.sciencedirect.com/
III. RESULTS AND ANALYSIS
The use of BI at this time is increasingly widespread and
growing. This is due to the need for support systems for
strategic decision making. Therefore, to see the growth of the
use of BI, then this comparison study is made. In Phase 1 has
found as many as 14 papers related to BI in the period 2010
until 2017.
The next phase, Phase 2, review of the 14 papers have
been done. The reviews are present as follows in this paper.
In period 2010 there are studies from [13] and [14]. [13]
described the BI role’s in Thailand’s Higher Education
Resources Management (HERM). There are covers the
implementation, the technology, and its key success factors.
The aims of BI, in this case, are to make an effective and
efficient of education management. The objective of this
research is to develop a standard data set used by every
institution under the Higher Education Commission. This
paper also discussed the use of information technology for
university student database management. The database
covers such as a number of graduate students, scholarship,
job opportunity, social welfare, strategic planning.
Kleesuwan, et. al. presented about the infrastructure of Office
of the Higher Education Commission (OHEC) where it
includes OHEC-Database, OHEC-Decision Support System
(DSS), and OHEC-Executive Information System (EIS).
They concluded in this paper that the implementation of BI in
the Thailand’s HERM can be said to be successful.
[14] has proposed an architecture for the e-learning
system. The proposed architecture used to monitor and
analyze the learner’s behaviour and performance in the e-
learning environment. Also, to evaluate the structure of the
course content and its effectiveness in the learning process. It
is for solving the lack of analytical and subjective reporting
tools in a widely spread, open-source, learning management
system. Also provide instructors with detailed reports about
the progression of students and give them the ability to track
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3. and assess the student performance and evaluate the design
of their virtual courses, in order to take suitable managerial
decisions. From the use of this BI and OLAP in e-learning
environment for a case study, they found the students who
take the e-learning course program prefer to use collaborative
activities, instead of just viewing the learning material.
In 2012 there was research from [15] and [16]. [15]
proposed an operational BI system for call centers. They used
data collected from US insurance company. This system used
for helping the company achieve excellence through
improved service levels. They created a decision tree for
predicting service level. They found the use of decision tree
is useful for predictions of future service levels based on a set
of the variable in this case. The system they proposed uses a
sliding window for continually reconstructing decisions tree
and highlighting the factors impacting service levels. The
results have shown the operation of Business Intelligence
(BI) can indeed increase the chance of an insurance
organization in a competitive advantage.
[16] were introduced a practical framework toimplement
BI. It is conducted to help organizations in directions oftheir
goals. Especially when the organizations need to analyze the
market to stay stable in facing market variant changes and
eventually to be able to handle market management. The
proposed framework consists of Business Skills,
Organizational Skills, and IT Skills. For each of that skills, a
significant impact is in the process of implementing BI. The
result of their studies was shown measured value or the
amount of BI and its impact on the organizations is not
carefully possible. However, they also found at the same time
there are also simple and practical ways that the financial
performance and market to BI organizations. They used
investment return (ROI) in determining the value of BI. The
used of ROI is to set priorities for exacting for IT projects
inside the organizations by managers.
In 2013, research on BI also conducted by [17]. [17] have
been discussed about BI and Enterprise Resource Planning
(ERP). Because in their opinion BI and ERP became a key
strategic tool in this era. They reviewed and evaluate articles
in range 2000 and 2012 regarding this integration. In their
findings explained based on the articles published on 2000
until 2012 majority of the research focused on investigating
ERP and BI but only a few attempts to integrate them.
In 2014, research about BI conducted by some researchers
such as [18], [2], and [19]. [18] have discussed development
of Resident Practice Profile application which used BI
application framework. The used of this framework to gain
the flexibility integrates user interfaces and reporting while
minimizing the labor required for application coding. A
practice profile is a type of BI application used to collect data
in order to monitor and measure performance. There is
increasing pressure on healthcare organizations to deploy
such applications to measure performance related to quality
care goals. The different between Chamney, et. al., study with
other BI application study is the use of collect data method.
They used the application framework to develop browser-
based applications to collect directly into a reporting
database, rather than use Extracting Transforming and
Loading (ETL) data from existing operational systems into a
specialized reporting database optimized for reporting. They
use the framework to bypass the complexity, effort, and
processing delays associated with ETL.
[2] applied a design science research paradigm. They are
also demonstrate the applicability and utility of an integrated
framework of BI Product and Metacontent Map (BIP-Map).
The purpose of this integration is to produce a comprehensive
framework which is able to enhance the traceability and
accountability of BI products. Then, the end-users can make
more informed and timely decisions in their business. This
paper presented the result of the development of two
artefacts. Where the first artefact was an integrated
framework of BIP-Map. The second was a BIP-Map
informed prototype. They concluded the BIP-Map could
serve as a framework for BI practitioners to identify business
and information phases that may create data quality problems.
[19] examined the use of ERP systems by small and
medium-sized enterprises (SMEs). They give special
attention to the critical factors affecting adoption of ERPs by
SMEs and the BI potential of implementing and using ERP
during a period of crisis. This is done because most SMEs
still underestimate the application and the dynamic of BI in
their decision-making process. They have sample consisted
of 37 firms and respondents. The result of their examination
is the BI capabilities of ERP systems is still underutilized by
SMEs. As managers do not take advantage of the knowledge
and experience gained from using ERP.
In 2015, [20] and [21] also presented BI approached in
their research. [20] have discussed about improving
efficiency within BI systems. They argue the efficiency
improvement of BI can be achieved by providing a software
support embedded system, the integration of mobile devices,
and the integration of the technology for the processing of
various data. Based on the analysis have been done, they also
stated the improvement efficiency of BI were established in
relation to the new trends in processing, analyzing and
presenting data. The example of trend technology as likeBig
Data analytics.
[21] explored about the BI solutions used in the
Norwegian industry. This is motivated by the average of
academics and practitioners note that BI is complex and
difficult to manage. They analyze from 5 case companies.
They found the majority of companies had technology from
the “Leaders” of technology, such as IBM, Microsoft, SAP.
However, there are 2 companies had built their own
solution(s) in addition. After analyzed from several case
study they concluded two findings. First, building upon
concepts derived from the Digital Infrastructure Theory, they
found that while the Norwegian industry still has a traditional,
complex BI architecture, it is scalable in the sense that the
industry can add or remove elements, or even scrap the whole
BI solution. The companies demonstrate innovation and
adoption through their use of dashboards and real-time data.
Based on these findings, then [21] proposed a future research
agenda for BI. Second, they offered three lessons for
managers of BI in organizations.
In 2016, there a research conducted by [22] and[23].
[22] were discussed Pervasive BI systems in critical
healthcare. Pervasive BI concept is based on the Ubiquity.
Ubiquity means is existence or apparent existence
everywhere at the same time; omnipresence and in the
omnipresence; present everywhere simultaneously. From the
understanding of the concept of Pervasive, Pervasive BI
Systems and their connection to Pervasive Healthcare, they
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4. found this system eventually help to reduce medical errors,
implementing pervasive characteristics in critical health
systems. It can happen among others due to the data can be
access from anywhere at any time, which it can reduce the
number of the medical error.
[23] make a study about implications of Big Data analytics
on BI. Based on the capabilities of Big Data in analytics and
expected to handle many challenges business face today,
then, the authors interest to study the implications of Big Data
analytics in enhancing BI. The case study is data collected
from Social Media for enhanced BI in China businesses.
Because the growth of Social Media use and online business
in China are exponential. The authors use interviews method,
involved CIOs, IT managers, IT consultant, Seniormanagers
with involvement in BI, and Business Development
managers. They concluded the Big Data analytics offer
multitude of opportunities to enhance business value and
productivity.
In 2017, there are [24] and [25] have a study about BI.
[24] discussed consolidation of cloud computing technology
and big data analytics. This consolidation can enhance the
process of big data mining enabling a business to improve
decision-making processes. They concluded the of used cloud
computing in BI also capable of keeping businesses stay
competitive by providing many benefits such as cost-
effectiveness, resource pooling, on-demand service, rapid
elasticity, and ease of management.
[25] presented an evaluation of the implementation of
BI to increase the effectiveness of Decision-Making (DM)
process. They used BI-FDSS (Fuzzy Decision Support
System) to analyze. They have categorized variables such as
BI techniques to facilitate DM, strategic level of BI, tactical
level of BI, operational level of BI, and quality of BI
implementation. Based on the correlation analysis results
between the variables from BI-DSS the authors concluded the
BI can increase the effectiveness in the decision-making
process of managers in Saman Fish Electronic Payment
Company.
Based on the review from several studies in above the
Phase 3 is carried out. The result of Phase 3 has shown in
Table 2. From Table 2 can see the BI research also follows
the trend of technology, such as Big Data analytics, cloud
computing, and the use of fuzzy logic in BI system.
TABLE 2. A REVIEW FINDING
Authors Year Scope of BI Method use Findings
(Kleesuw
an et al.
2010)
2010 BI role’s in
Thailand
Higher
Education
Resources
Management
System
architecture
, star
schema
The success
of the
implementati
on leads tothe
development
of a full scale
behavior on
system
(Falakma
sir et al.
2010)
2010 Proposed an
architecture
for the e-
learning
system
BI and
OLAP
BI
architecture
for e-learning
system
ca
n use to
monitor the
learner’s
behavior and
performance
in e-learning
environment
Authors Year Scope of
BI
Method use Findings
(Kyper et
al. 2012)
2012 Operati
onal BI
for call
center
Decision
tree
Increase the
chance of an
insurance
organization
in a
competitive
advantage
(Bahrami
et al. 2012)
2012 Practical
framewo
rk to
impleme
nt BI
Business
skills,
organizatio
nal skills,
IT skills
Measured
value or the
amount of BI
and its impact
on the
organization is
not carefully
possible
(Nofal &
Yusof 2013)
2013 Integrati
on of BI
and ERP
Qualitative
study
Majority of the
research
focused on
investigating
ERP and BI but
only a few
attempts to
integrate them
(Chamney
et al. 2014)
2014 Develop
ment of
Resident
Practice
Profile
applicati
on used
BI
applicati
on
framewo
rk
(healthca
re
organiza
tion)
Application
framework,
to collect
data
directly
into a
reporting
database
The framework
reduced the effort
in building an
application, and
improved the
configurability
and use the
experience for
both data
collection as
reporting
compared with
traditional
application.
(Chin-
Hoong et al.
2014)
2014 Appl
ied a
desig
n
scien
ce
resea
rch
para
digm
Integrated
framework
of BI
product and
metaconten
t map (BIP-
Map)
BIP-Map
could serve as a
framework for
BI
practitioners to
identify
business and
information
phases that
may create
data quality
problems
(Antoniadis
et al. 2015)
2014 Evaluat
e the
use of
ERP on
SMEs
Interviewin
g and
distributing
questionnai
res to
managers
and users of
ERP
They are
finding that
SMEs have
only recently
began adopting
ERP systems in
their daily
operations.
Also found
the ERP
systems and
their BI
capabilities are
not
incorporated in
SMEs in order
to fully exploit
the benefits
deriving from
their usage.
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5. Authors Year Scope of BI
research
Method
use
Findings
(Kubina
M., et
al.
2015)
2015 Improving
efficiency
within BI
systems
Analytical
study
The improvement
efficiency of BI
were established
in relation to the
new trends in
processing,
analysing and
presenting
data.The
example of trend
technology as
like Big Data
analytics.
(Wanda
& Stian
2015)
2015 The BI
solutions
used in the
Norwegian
industry
Case
studies
from 5
companie
s
While the
Norwegian
industry still has
a traditional,
complex BI
architecture, it is
scalable in the
sense that the
industry can add
or remove
elements, or
even scrap the
whole BI
solution.
(Pereira et
al. 2016)
2016 Pervasive BI
systems in
critical
healthcare
Pervasive
Business
Intelligent
, SWOT
Can reduce the
number of
medical error
(Ram et
al. 2016)
2016 Big Data
analytics on
BI
Qualitativ
e study
Big Data analytics
offer multitude of
opportunities to
enhance business
value and
productivity.
(M.
Balachand
ran and S.
Prasad,
2017)
2017 The used of
cloud
computing
technology
and big data
analytics for
BI
Cloud
computin
g
architectu
re
The used of cloud
computing inBI
also capable of
keeping
businesses stay
competitive by
providing many
benefits
(Zamani,
et. al.
2017)
2017 Evaluating of
the
implementati
on of BI to
increase the
effectiveness
of Decision-
Making
process
Fuzzy
Logic
Based on the
correlation
analysis results
between the
variables from BI-
DSS the authors
concluded the BI
can increase the
effectiveness in
DM process of
managersin
Saman Fish
Electronic
Payment
Company
.
The next phase is Phase 3. The result of Phase 3 hasbeen
present in Table 3. Table 3 shows the advantages and
limitation of that research articles.
TABLE 3. AN OVERVIEW OF THE BI ARTICLES
Authors Year Advantages Limitations
(Kleesuwan
et al. 2010)
2010 The
implementation
and technology of
BI in Thailand’s
Higher Education
Resources
Management can
leads to the
development of a
scale information
system. Then can
governs the
Thailand Higher
Education
Institutions.
In this articles the BI
role’s for Thailand
Higher Education
Resources
Management is not
yet evaluate. Then,
not yet known of the
eligibility result of
the implementation.
(Falakmasir et
al. 2010)
2010 This research can
improve the use of
traditional e-
learning
environment. The
use of BI and
Data Warehousing
can help making
appropriate
decisions.
Limitation in the
period and number
of students involved
in analytical study.
Hopefully, in the
next research can
use more data.
(Kyper et al.
2012)
2012 With the decision
tree method used
in this research
could help the
company knowing
which factors are
most critical for
service level
helps. Therefore,
the decision
maker can make a
solution and an
improvement
programs.
The research data
collection from one
insurance company.
It would be better to
use some data from
several company or
service type. In
order to get more
proportionate
results.
(Bahrami et al.
2012)
2012 Can help the
company to
understand their
performance.
Need to evaluate the
framework by used
a real data..
(Nofal &
Yusof 2013)
2013 Can help a
companies to
know their
competitive
environment.
Discussion about BI
and ERP integration
in this research just
taking 4 articles.
Need to search and
collect more
research articles in
this topic area.
(Chamney et al.
2014)
2014 This articles
presented a
knowledge about
the ability of the
BI application
framework.
Requires more
variations of the
framework to test.
(Chin-Hoong
et al. 2014)
2014 BIP-Map is an
improvement
from IP-Map.
Then, BIP-Map
can be used by BI
practitioners to
BIP-Map is tested
against one type of
business. It is
expected to be tested
with different types
of business.
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6. Authors Year Advantages Limitations
identify business
and information
phases that may
create data quality
problems.
(Antoniadis et
al. 2015)
2014 From this study
we can know
acceptance of the
use of ERP and BI
on SMEs scale.
The limitation is the
small sample used.
(Kubina et al.
2015)
2015 This study
delivers
knowledge about
the potentiality of
Big Data in BI
system.
This articles only
includes 14 citation.
(Wanda &
Stian 2015)
2015 Know the level of
BI usage in
Norwegian
industry.
The study is make
an analysis for one
point of view. In the
future can extend
the perspective.
(Pereira et al.
2016)
2016 Connecting
between the
Pervasive BI
Systems and
Pervasive
Healthcare
This study only uses
SWOT to analysis
the pervasive
concept in BI
system.
(Ram et al.
2016)
2016 Presented the
growth of online
business in China
with the used of
Big Data
analytics.
Limitation in
number of
respondents
interviewed.
(Balachandran
& Prasad 2017)
2017 Raised the issue
about the use of
cloud computing
in Big Data in
order to help a
business company
improve their
strategy.
Need more data in
discussion section.
(Zamani
2017)
2017 Proof the effect of
the use a BI
techniques to
facilitate decision-
making can
increase the
decision-making
effectiveness.
This study use 1
case study. It would
be better to use more
than one case study.
IV. CONCLUSION
The purpose of this study was to provide a general
overview of the development of Business Intelligence
research. Research in the BI field is continuous to grow and
the use of technology for supporting BI also following the
technology trend. The implementation of BI research is
spread in various fields. Furthermore, it is required support
from the organization or company to be able to continue the
research and implementation of BI in accordance with the
business organization needs.
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