The Future of Business Intelligence. Associate Professor Paul Hawking

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1 The Future of Business Intelligence Associate Professor Paul Hawking

2 Future of BI? Dodo BI?

4 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.

5 Business Intelligence (BI) Real Time analytics Big Data Multi-Dimensional Analysis Forecasting Predictive Analysis Decision Support System Data Warehouse Sentiment Analysis Business Performance Management (BPM) Dashboard Data Visualization Science Data Mining Data Business Analytics On-Line Analytical Processing (OLAP) Decision Support System (DSS) Reporting BAM Executive Information System Enterprise Performance Management (EPM) Corporate Performance Management

7 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

8 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

9 Executive Priorities Rank Top CEO s Business Priorities 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 Gartner Top CIO s Technology Priorities 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)

11 Infotronics Age (Stage 2) ICT enhanced with ubiquitous highspeed broadband plus analytics, learning systems, and cognitive computing

12 Gartner Hype Cycle

13 Gartner Hype Cycle Natural Language Generation

14 Natural Language Generation

15 Gartner Hype Cycle Natural Language Question Answering Natural Language Generation

21 Gartner Hype Cycle Natural Language Question Answering Smart Data Discovery Natural Language Generation

22 Smart Data Discovery

23 Gartner Hype Cycle Search based Data Discovery Tools Natural Language Question Answering Smart Data Discovery Natural Language Generation

24 New Year Emotions + 2,800 tasting notes + 10 Beers + Common Ingredients = New Year Beer 0101

25 Gartner Hype Cycle Search based Data Discovery Tools Open Data Natural Language Question Answering Smart Data Discovery Natural Language Generation

27 Gartner Hype Cycle Event Stream Processing Search based Data Discovery Tools Open Data Natural Language Question Answering Smart Data Discovery Natural Language Generation

28 Event Stream Processing (IoT)

29 FoxTrax

30 Gartner Hype Cycle Event Stream Processing Search based Data Discovery Tools Open Data Natural Language Question Answering Smart Data Discovery Decision Management Natural Language Generation

31 Decision Management A B C A B C Makes decisions based on exceptions

34 Artificial Intelligence

35 Gartner Hype Cycle Event Stream Processing Search based Data Discovery Tools Open Data Natural Language Question Answering Smart Data Discovery Decision Management Personal Analytics Natural Language Generation

40 Disclaimer There is no reason anyone would want a computer in their home Ken Olson, Founder of Digital Equipment Corporation (1977)

41 Big Data Innovation Lab Paul Hawking SAP Academic Programs Director Associate Professor Information systems Discipline College of Business Telephone: #SAPVU

Design Thinking. What is all the fuss about? Paul Hawking Victoria University. SAUG Canberra Conference Hyatt Hotel, Canberra.

Design Thinking. What is all the fuss about? Paul Hawking Victoria University. SAUG Canberra Conference Hyatt Hotel, Canberra. SAUG Canberra Conference Hyatt Hotel, Canberra Design Thinking March 2014 What is all the fuss about? Paul Hawking Victoria University Everybody is talking about it A developer needs to be curious and