State of business intelligence in 2013
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State of business intelligence in 2013
- 1. BUSINESS INTELLIGENCE INTRO IOAN SUCIU, SOLUTION ARCHITECT, ISDC
- 2. 2
- 3. QUIZ WHAT DO YOU KNOW ABOUT BI 1. I googled about Business Intelligence (BI)? 2. I watched a BI presentation movie? 3. I played with a BI demo environment? 4. I followed a BI tutorial? 5. I worked on a BI project? BI INTRO 4/15/2013 3
- 4. QUIZ ARE YOU INTERESTED IN BI 1. I want know more about BI? 2. I’m fine with java and .net? 3. Undecided? BI INTRO 4/15/2013 4
- 5. AGENDA 1. What is Business Intelligence? 2. BI for business 3. Vendors and Technologies 4. A day in a BI developer’s life BI INTRO 4/15/2013 5
- 6. INFORMATION DRIVES DECISIONS W HAT IT BI? 4/15/2013 6
- 7. INGREDIENTS OF INFORMED DECISIONS Data visualization Processing and aggregation Lots and lots of data W HAT IT BI? 4/15/2013 7
- 8. DEFINITIONS 1. Wikipedia: Business intelligence (BI) is a set of theories, methodologies, processes, architectures, and technologies that transform raw data into meaningful and useful information for business purposes 2. Gartner defines the business intelligence (BI) and analytics platform market as a software platform that delivers 15 capabilities across three categories: integration, information delivery and analysis. W HAT IT BI? 4/15/2013 8
- 9. BI INTRO 4/15/2013 9
- 10. DASHBOARDS W HAT IT BI? 4/15/2013 10
- 11. INFOGRAPHICS W HAT IT BI? 4/15/2013 11
- 12. THE IMPORTANCE OF BI TODAY BI FOR BUSINESS 4/15/2013 12
- 13. THE TECHNOLOGY HYPE CYCLE BI FOR BUSINESS 4/15/2013 13
- 14. GARTNER MAGIC QUADRANT 1. Leaders Strong in breadth and depth 2. Challengers Limited to specific use cases 3. Visionaries Openness and flexibility 4. Niche players Do well in a specific segment VENDORS & TECHNOLOGIES 4/15/2013 14
- 16. BI REFERENCE ARCHITECTURE DEVELOPER LIFE 4/15/2013 16
- 17. DATA COLLECTION & ETL Extract ETL • Connect to data end points • Retrieve data in specific formats Transformations • Data conversion • Validation • Computation Load • Save into target tables DEVELOPER LIFE 4/15/2013 17
- 18. DWH & DM Data modelling techniques 3 NF • Tables, Primary key, Foreign key Data vault by Dan Lindsted • Hub, Link, Satellite • Point in time, Bridge, Reference Data mart by Ralph Kimball • Dimensions and facts DEVELOPER LIFE 4/15/2013 18
- 19. INFORMATION DELIVERY Information portals - Reports - Fact sheets - Dashboards - Data feeds DEVELOPER LIFE 4/15/2013 19
- 20. REFERENCES [1] How to measure everything, Finding the value of “intangibles” in business, Douglas W. Hubbard [2] DWH 2.0, Bill Inmon [3] Chriss Web BI Blog, http://cwebbbi.wordpress.com/ [4] Coursera: Computing for data analysis, https://www.coursera.org/course/compdata [5] Gartner Magic Quadrant: http://www.gartner.com/technology/reprints.do?id=1-1DYXHVT&ct=130206&st=sg [6] Tidemark – analytics reimagined, http://tidemark.net/ [7] Domo knows BI, http://www.domo.com REFERENCE 4/15/2013 20
Notas do Editor
- What kind of decision are supported by a car dashboard?Speed – indicating the limitsRevs – indicating when to shift gears, red – overrevsGas task – when emtpty -> refillTemp – cold, hotWhen to go for a periodic check
- Vendors must generate at least $15 million in BI and analytics-related software license revenue annually
- Emerging technologiesNoSQLAnalytics