Humans are sentient. We perceive. We feel. We listen. The problem is the more you put together, the more we lose these capabilities. We get slower. The idea is, how we create a company that acts like a single organism, where we identify opportunities, and that allows us to work in a faster and exponential world world where development happens in months rather than years. Don't let digital transformation become a war of competitive attrition. You may need to invest in your future to change the game.

1. SENTIENT
ENTERPRISE
CHRIS TWOGOOD | Teradata

3. “Today Digitalization
delivers every single
car on the road today
as a device”

5. @ r a t z e s b e r g e r

6. @ r a t z e s b e r g e r
Data Graphic: d3js.org
SELF SERVICE
EVERYTHING

8. MyMagic+ leveraging
data and analytics to
improve guest
experiences

9. $70
BILLION
APP ECONOMY
7Source: http://venturebeat.com/2014/04/29/mobile-apps-could-hit-70b-in-revenues-by-2017-as-non-game-categories-take-off/

10. SENTIENT
ENTERPRISE

11. SHARE
SEARCH
DESIGN
INTERACT
ANALYZE
KNOW
IDENTIFY
DISCOVER
ACOMPANYASA
SINGLE ORGANISM

12. 2
3
1
FIVE STAGES
The agile data platform moves
traditional central DW structures
to a balanced decentralized
framework built for agility.
5
4

13. EMPTY
SANDBOX
ORIGINAL
DATA
DATA DUPLICATED
IN DATA SILO
2X
DUPLICATED
DATA BY USER1
USER2 ANALYZING
THE OLD DATA

14. EFFICIENT
SANDBOX
Security
Governance
Privacy
Dev Ops
Data Management
Data Access
…
RECORDI
ALL ACTI

16. ““All sensor data from
multiple airlines entire fleet
for years - trillions of records
- 60-80x more efficient on
storage and queries”
Patent Application Published
May 5, 2016

17. 2
3
1
5
4
FIVE STAGES
From transactional to behavioral data.
Value comes from behaviors rather
than transactions.

18. TRANSACTIONAL DATA

19. 10 to 100X
HIGHER DATA
VOLUMES
BEHAVIORAL DATA
BEHAVIORAL
PATTERNS

20. CUSTOMER BEHAVIOR
GUSTS
SQUALLS
WINDS
MACHINE
BEHAVIOR Low level short
duration turbine
directional changes
Medium level
turbine directional
changes
Highest turbine
directional
changes
AIR DENSITY &
AIR TEMPERATURE

21. CUSTOMER BEHAVIOR
All readings are analyzed to get the
optimal pitch on the blades
Hydraulic
measurements
Wind power
capacity
Gearbox
readings
Wind speed
at hubs
Turbine
brakes quality
Sensor data that is collected from the wind parks
GUSTS
SQUALLS
WINDS
MACHINE
BEHAVIOR
AIR DENSITY &
AIR TEMPERATURE
Low level short
duration turbine
directional changes
Medium level
turbine directional
changes
The most turbine
directional
changes

23. “ Guarantee if they’re
delayed more than 15
minutes, they pay you back
the whole ticket ”
Gerhard Kress
Siemens Spokesman

24. MACHINE BEHAVIOR
CUSTOMER BEHAVIOR
CUSTOMER BEHAVIOR
CUSTOMER BEHAVIOR
MACHINE BEHAVIOR
CUSTOMER BEHAVIOR
CUSTOMER BEHAVIOR
MACHINE BEHAVIOR
SANDBOX
SANDBOX
SANDBOX
SANDBOX
SANDBOX
SANDBOX

25. MACHINE BEHAVIOR
MACHINE BEHAVIOR
CUSTOMER BEHAVIOR
MACHINE BEHAVIOR
SANDBOX
SANDBOX
SANDBOX
MACHINE BEHAVIOR
CUSTOMER BEHAVIOR
SANDBOX
CUSTOMER BEHAVIOR

26. FIVE STAGES
1
5
4
LinkedIn for analytics. From centralized
metadata to crowd-sourced collaboration.
Social interactions connect the data
within the enterprise.
3
2

27. Collaboration

28. Storytelling

29. SHARE
LIKE
SEARCH
DESIGN
INTERACT
ANALYZE
COLLABORATE

30. 1
2
3
5
4
FIVE STAGES
Analytical apps. From static applications
and ETL to agile self-service apps.
From extraction of data to
enterprise listening.

31. STRESS FREE IT

32. app
APP
DEPLOY
APP
FRAMEWORK
app
APP IDEA
FROM A NON-EXPERT
app
HOUR 1 HOUR 2 HOUR 3 HOUR 4 HOUR 5 HOUR 6 HOUR 7 HOUR 8 HOUR 9 HOUR 10

33. FIVE STAGES
1
2
3
5
4
Predictive technologies and
algorithms. From focusing only
10% of time on decision
making and 90% on sifting
through data, to 90% on
decision making with the help
of automated algorithms.

34. TIME WASTED SIFTING
THROUGH DATA
90%
Messy
Data
KPIs
INTERSECTIONS
PRODUCT
CATEGORIES
AGGREGATIONS SOCIAL MEDIA
SOCIAL MEDIA
SALES
AUTOMATION
MOBILE
OPTIMIZATION
SEO
TESTING
INTEGRATION

35. INTEGRATION
ALGORITHMIC
APPS
TIME SPENT ON
DECISION MAKING
90
Data
Presented
Simply
Cleansing and refining sources
identifying signals and patterns
Messy
Data
%

36. DECISION MAKING
BY HUMANS
ALGORITHMS
-
PATTERN ANALYTICS

37. Focus on a behavior-centric mindset
1
2
3
Drive agility in organization
Deliver automation at scale

38. @ r a t z e s b e r g e r
Thank you