SENTIENT ENTERPRISE. OLIVER RATZESBERGER Teradata MOHAN SAWHNEY Kellogg School of

Transcription

1 SENTIENT ENTERPRISE OLIVER RATZESBERGER Teradata MOHAN SAWHNEY Kellogg School of Management

2 400,000 LAUNCH DAY DOWNLOADS

3 REAL TIME INTERACTION

4 SELF SERVICE EVERYTHING Data Graphic: d3js.org

5 Humans Direct Data? Sifting through data? Data Anarchy? Putting out fires?

6 ENTERPRISE DATA WAREHOUSE EDW 18 MONTHS

7 CMO EDW MARCH 2014 ACTIVE CUSTOMERS: CFO MARCH 2014 ACTIVE CUSTOMERS:

8 FIVE STAGES TOWARDS SENTIENT ENTERPRISE

9 FIVE STAGES

10 EDW

11 AGILE DATA WAREHOUSE EDW

12 LAYERED DATA ARCHITECTURE USERS BUSINESS ANALYSTS POWER USERS DATA SCIENTISTS DATALAB Virtual Sandboxes & Prototypes PRESENTATION Application Specific Views AGGREGATIONAL BU Specific Rollups CALCULATION Key Performance Indicators INTEGRATION Integrated Model at Lowest Granularity STAGING 1:1 Source Systems USER OWNED BUSINESS RULES ATOMIC DATA

13 FIVE STAGES 5 The Agile Data Warehouse moves traditional central DW structures to a balanced decentralized framework built for agility

14 FIVE STAGES

15 TRANSACTIONAL DATA

16 BEHAVIORAL DATA

17 BEHAVIORAL DATA BEHAVIORAL PATTERNS

18 VISIT MARCH PURCHASE APRIL MAY CALL JUNE VISIT JULY PURCHASE

19 VISIT MARCH PURCHASE APRIL BEHAVIOR MAY CALL JUNE VISIT JULY PURCHASE

20 BEHAVIOR BEHAVIOR BEHAVIOR BEHAVIOR BEHAVIOR BEHAVIOR BEHAVIOR BEHAVIOR

21 FIVE STAGES 5 From Transactional to Behavioral Data. Value comes from behaviors rather than transactions

22 FIVE STAGES

23 BEHAVIOR BEHAVIOR BEHAVIOR BEHAVIOR BEHAVIOR BEHAVIOR BEHAVIOR

24

25 SHARE LIKE ANALYZE DESIGN SEARCH INTERACT COLLABORATE

26 FIVE STAGES LinkedIn for Analytics. From centralized Metadata to Crowd Sourced Collaboration. Social interactions connect the data within the enterprise

27 FIVE STAGES

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29 APP A EDW APP A A APP APP A APP A APP A

30 DATA LISTENING SYSTEMS DATA DATA

31 FIVE STAGES Analytical Apps. From static applications and ETL to agile Self Service Apps. From Extraction of Data to Enterprise Listening.

32 FIVE STAGES

33 OF TIME IS SPENT SIFTING THROUGH DATA

34 OF TIME IS SPENT IS SPENT ON DECISION MAKING SIFTING THROUGH DATA

35 AUTOMATED CARS Photo: commons.wikimedia.org

36 AUTOMATED TRADING

37 SHARE IDENTIFY KNOW DISCOVER ANALYZE DESIGN SEARCH INTERACT A COMPANY AS A SINGLE ORGANISM

38 FIVE STAGES Predictive Technologies and Algorithms. From focusing only 10% of time on decision making and 90% of sifting through data to 90% of decision making with the help of automated algorithms.

39 SHIFTS OF THE FIVE STAGES From Transactional to Behavioral Data. Value comes from behaviors rather than transactions LinkedIn for Analytics. From centralized Metadata to Crowd Sourced Collaboration. Social interactions connect the data within the enterprise 4 5 The Agile Data Warehouse moves traditional central DW structures to a balanced decentralized framework built for agility Analytical Apps. From static applications and ETL to agile Self Service Apps. From Extraction of Data to Enterprise Listening. Predictive Technologies and Algorithms. From focusing only 10% of time on decision making and 90% of sifting through data to 90% of decision making with the help of automated algorithms