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BUSINESS INTELLIGENCE INTRO
IOAN SUCIU, SOLUTION ARCHITECT, ISDC
2
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
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
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
INFORMATION DRIVES DECISIONS




 W HAT IT BI?   4/15/2013      6
INGREDIENTS OF INFORMED DECISIONS


                                  Data
                       visualization

                    Processing and
                     aggregation

                Lots and lots of data
 W HAT IT BI?         4/15/2013          7
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
BI INTRO   4/15/2013   9
DASHBOARDS




W HAT IT BI?   4/15/2013   10
INFOGRAPHICS




 W HAT IT BI?   4/15/2013   11
THE IMPORTANCE OF BI TODAY




 BI FOR BUSINESS   4/15/2013   12
THE TECHNOLOGY HYPE CYCLE




 BI FOR BUSINESS   4/15/2013   13
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
BI REFERENCE ARCHITECTURE




 DEVELOPER LIFE   4/15/2013   16
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
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
INFORMATION DELIVERY


       Information portals
       - Reports
       - Fact sheets
       - Dashboards
       - Data feeds




 DEVELOPER LIFE      4/15/2013   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
QUESTIONS AND ANSWERS

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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
  • 15.
  • 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

Notes de l'éditeur

  1. 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
  2. Vendors must generate at least $15 million in BI and analytics-related software license revenue annually
  3. Emerging technologiesNoSQLAnalytics