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The Future of Business Intelligence
Associate Professor Paul Hawking
In 1989, then Gartner analyst Howard Dresner came up with "business intelligence" to describe how end users could access and analyse information stored on their company systems in order to provide a better understanding of the business and its customer.
"Business intelligence" has been perverted over time by vendors
trying to find new ways to market their products.
Real Time analyticsBig Data
Business Analytics
Decision Support System
Business Intelligence (BI)
Business Performance Management (BPM)
Corporate Performance Management
DashboardData Mining Data Science
Data Visualization
Data Warehouse
Decision Support System (DSS)
Enterprise Performance Management (EPM)
Executive Information System
ForecastingMulti-Dimensional Analysis
Predictive Analysis
On-Line Analytical Processing (OLAP)Reporting
Sentiment Analysis
BAM
“Sir Henry Furnese, gained profit by receiving and acting
upon information about his environment, prior to his
competitors. “Throughout Holland, Flanders, France, and
Germany, he maintained a complete and perfect train of
business intelligence. The news of the many battles
fought was thus received first by him, and the fall of
Namur added to his profits, owing to his early receipt of
the news.” (Devens, (1865), p. 210). T
Luhn, P. (1958) “A Business
Intelligence System”, IBM
“the ability to apprehend the interrelationships of presented facts in such a way as to guide action towards a desired goal.”
Better Decision Making
Executive Priorities
Gartner
Rank Top CEO’s Business Priorities -
2015
1 Increasing enterprise growth
2 Reducing enterprise costs
3 Expanding into new markets and
geographies
4 Increase profitability
5 Implementing finance and controls
6 Talent and workforce
management/development
7 Consolidating, standardizing and
streamlining operations
8 Execute acquisitions, mergers and
partnerships
9 Improve governance, risk,
compliance and security
Top CIO’s Technology Priorities -
2016
Analytics and business intelligence
Infrastructure and data center
Cloud Computing (SaaS, Iaas, Paas)
ERP Systems
Digitalisation/digital marketing
Mobile
Security
Networking, voice and data comms
Legacy modernisation
Industry specific applications
Customer Relationship (CRM)
Infotronics
Age (Stage 2)
ICT enhanced with
ubiquitous high-
speed broadband
plus analytics,
learning systems,
and cognitive
computing
GartnerHype Cycle
Natural Language Generation
Natural Language Question Answering
Smart Data Discovery
GartnerHype Cycle
Natural Language Generation
Natural Language Question Answering
Smart Data Discovery
Search based Data Discovery Tools
GartnerHype Cycle
Natural Language Generation
Natural Language Question Answering
Smart Data Discovery
Search based Data Discovery Tools
Open Data
GartnerHype Cycle
Natural Language Generation
Natural Language Question Answering
Smart Data Discovery
Search based Data Discovery Tools
Open Data
Event Stream Processing
GartnerHype Cycle
Natural Language Generation
Natural Language Question Answering
Smart Data Discovery
Search based Data Discovery Tools
Open Data
Event Stream Processing
Decision Management
GartnerHype Cycle
Natural Language Generation
Natural Language Question Answering
Smart Data Discovery
Search based Data Discovery Tools
Open Data
Event Stream Processing
Decision Management
PersonalAnalytics
Disclaimer
“There is no reason anyone would want a computer in their home”Ken Olson, Founder of Digital
Equipment Corporation (1977)
Paul Hawking
SAP Academic Programs Director
Associate Professor
Information systems Discipline
College of Business
Telephone: +61-3-99194031
Email [email protected]
@Paulhawking #SAPVU
Big Data
Innovation Lab