State of business intelligence in 2013

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  • 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
  • State of business intelligence in 2013

    1. 1. BUSINESS INTELLIGENCE INTROIOAN SUCIU, SOLUTION ARCHITECT, ISDC
    2. 2. 2
    3. 3. QUIZWHAT DO YOU KNOW ABOUT BI1. 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. 4. QUIZARE YOU INTERESTED IN BI1. I want know more about BI?2. I’m fine with java and .net?3. Undecided? BI INTRO 4/15/2013 4
    5. 5. AGENDA1. What is Business Intelligence?2. BI for business3. Vendors and Technologies4. A day in a BI developer’s life BI INTRO 4/15/2013 5
    6. 6. INFORMATION DRIVES DECISIONS W HAT IT BI? 4/15/2013 6
    7. 7. INGREDIENTS OF INFORMED DECISIONS Data visualization Processing and aggregation Lots and lots of data W HAT IT BI? 4/15/2013 7
    8. 8. DEFINITIONS1. 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 purposes2. 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. 9. BI INTRO 4/15/2013 9
    10. 10. DASHBOARDSW HAT IT BI? 4/15/2013 10
    11. 11. INFOGRAPHICS W HAT IT BI? 4/15/2013 11
    12. 12. THE IMPORTANCE OF BI TODAY BI FOR BUSINESS 4/15/2013 12
    13. 13. THE TECHNOLOGY HYPE CYCLE BI FOR BUSINESS 4/15/2013 13
    14. 14. GARTNER MAGIC QUADRANT1. LeadersStrong in breadth and depth2. ChallengersLimited to specific use cases3. VisionariesOpenness and flexibility4. Niche playersDo well in a specific segment VENDORS & TECHNOLOGIES 4/15/2013 14
    15. 15. BI REFERENCE ARCHITECTURE DEVELOPER LIFE 4/15/2013 16
    16. 16. DATA COLLECTION & ETL ExtractETL • 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
    17. 17. 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
    18. 18. INFORMATION DELIVERY Information portals - Reports - Fact sheets - Dashboards - Data feeds DEVELOPER LIFE 4/15/2013 19
    19. 19. 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
    20. 20. QUESTIONS AND ANSWERS

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