Business Intelligence: Current Trends, Tools, and Applications

Business intelligence

Table of Contents
INTRODUCTION...........................................................................................................................1
Current trends...................................................................................................................................1
Business Intelligence..............................................................................................................1
Data sources – operational data..............................................................................................1
Data Warehouse/ Data mart....................................................................................................1
Data exploration – statistical analysis and visualization........................................................2
Data mining............................................................................................................................2
Optimization...........................................................................................................................2
Decisions................................................................................................................................2
Predictive Analytic Software concepts and principles.....................................................................3
Тооls and Practical Applications of Business Intelligence....................................................3
Тооls and Practical Applications of Data sources – operational data....................................3
Тооls and Practical Applications of Data Warehouse/ Data mart .........................................3
Тооls and Practical Applications of Data exploration – statistical analysis and visualization3
Тооls and Practical Applications of Data mining...................................................................3
Тооls and Practical Applications of Optimization.................................................................4
Тооls and Practical Applications of Decisions.......................................................................4
Realizing the strategic impact of business intelligence utilization..................................................4
Research Article findings.......................................................................................................4
CONCLUSION................................................................................................................................5
References:.......................................................................................................................................6

INTRODUCTION
The following discussion is based on the current trends which includes concept of
business intelligence and data sources along with the data warehouse and data exploration which
is followed by the data mining and optimization and also the decisions. Discussion is also made
on the predictive analytic software concepts and principles which includes the tools and practical
applications of all these current trends in an in depth manner. Moreover, realizing the strategic
impact of business intelligence utilization which includes the research article findings are also
discussed with proper conclusion.
Current trends
Business Intelligence
It is defined as the technologies used for data analysis by the organization which provides
historical and current along with the predictions of the operations of the business. It is a very
broader term which encompasses the performance benchmarking and predictive analysis. Trends
includes artificial intelligence, data security, data discovery, SAAS business intelligence,
collaborative business intelligence, data automation, predictive and prescriptive data analytics
tools, mobile business intelligence, embedded analysis and real time data and analytics
(Bordeleau, Mosconi and Santa-Eulalia, 2018).
Data sources – operational data
As per the given case study, Malaysian Public Listed Companies, it is defined as the
operational data store which is used in order to report operations and even as the sources of data
for the company's data warehouse. Trends includes smarter, faster and more responsible artificial
intelligence, decline of the dashboard, decision intelligence, X analytics, augmented data
management, cloud is a given, data and analytics worlds collide, data market places and
exchanges, block chain in data and analytics and form of relationship which values the
foundation of data and analytics.
Data Warehouse/ Data mart
As per the given case study, Malaysian Public Listed Companies, it is defined as the
structure which is used to retrieve data of the client. Data mart is a subset of data warehouse.
Trends includes better bridging of clouds and on premise, more open than even before,
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