TARGIT CTO Dr. Morton Middelfart has professionally devoted himself to one thing: turning DECISIONS into ACTION faster, more efficiently, and more intelligently than ever. He continues to develop patented features that zero in on solving the challenges that companies face every day. One of those challenges is harnessing the massive amounts of external data relevant to your company. Big data is … well … big. And companies that don’t learn from it and adapt will be quickly left in the dust. Join Morton for his session “Make BIG DATA work for you” and discover how to get the most out of your big data through Business Intelligence. What you’ll learn: - Why external data is increasingly important to today’s businesses - Exciting new technologies developed to help you make sense of the growing amount of Big Data - How to measure and monitor consumers’ sentiments about your company - What your external data says about your internal data - What you need to take action to constantly stay ahead of the curve

1. Make BIG
DATA
Work for You
Presented by
Dr. Morten Middelfart, TARGIT CTO
targit.com/research
morton@targit.com
@dr_morton on Twitter

2. Flight

3. or
Fight ?

6. Supporting the
decision loop with
intelligence
Decision
Based on Facts
Use all available
information
Action
Changes
Communication
Reaction/Action
Orientation
Analytics
Simulation
Observation
Dashboards
Reports
Agents

7. The TARGIT Journey
# Data Sources
x Data Size
Time

8. The TARGIT Journey
Strategic
Operational
# Data Sources
x Data Size
Time

9. The TARGIT Journey
Strategic
Getting Started Using Accelerators
-> Easy Analytics & Reports
Operational
# Data Sources
x Data Size
Time

10. The TARGIT Journey
Strategic
Integrated Action Loop
Dashboards, Analytics, Reports & Agents
-> Self-Service BI & Ad-Hoc Analytics
Getting Started Using Accelerators
-> Easy Analytics & Reports
Operational
# Data Sources
x Data Size
Time

11. The TARGIT Journey
Strategic
Data-Driven Culture
Dynamic Integration/Rejection of
Internal & External Data
-> Competing on Analytics
Integrated Action Loop
Dashboards, Analytics, Reports & Agents
-> Self-Service BI & Ad-Hoc Analytics
Getting Started Using Accelerators
-> Easy Analytics & Reports
Operational
# Data Sources
x Data Size
Time

12. The TARGIT Journey
Strategic
Data-Driven Culture
Dynamic Integration/Rejection of
Internal & External Data
-> Competing on Analytics
Integrated Action Loop
Dashboards, Analytics, Reports & Agents
-> Self-Service BI & Ad-Hoc Analytics
Getting Started Using Accelerators
-> Easy Analytics & Reports
Operational
# Data Sources
x Data Size
Time

13. Why?

14. Technology Trends – Usual Suspects
 Faster
 Smaller
 Cheaper
-> More Capacity
-> More Bandwidth

15. Human Behavior – the Unpredictable
 Social Data
 Open
Data
-> Valuable Insights
-> High Volume of Data
-> Real Time, Streaming
-> Social vs. Search

16. Cycles – the Weird Stuff
 Browsers:
three, one, five
 Servers: mainframe, pc, client server, cloud
 Files: programming db (flat files),
relational db, multi-dimensional db, programming
db in-memory, programming db (flat files)
-> specialized servers physically optimized
(e.g. SSD, ASIC)

17. 
#FactBeatFear when data speaks

19. #FactBeatFear when data speaks
1. Firms will realize that “big data” means
all of their data.
2. The algorithm wars will begin.
3. Real-time architectures will swing to
prominence.
4. Naysayers will fall silent.

20. There are 1.8 zettabytes of digital data in the world
(2011), projected to grow to 7.9 zettabytes by 2015.
zettabyte = 1021 or 1,000,000,000,000,000,000,000 bytes
~ 45% annual growth
The Growth of Unstructured Data:
What To Do with All Those Zettabytes?
Dataversity, 2013

21. Big Data
Data that exists in such large amounts or in
such unstructured form that it is difficult to
handle in the traditional data warehouse or
any other type of database.
Right?

23. From Control
to No Control

24. What it means for organizations:
 Loss of Control
 Data
amounts overwhelming
 Data
Scientist rather than an Accountant
-> Sampling rather than complete datasets!

25. What it means for organizations:
Volume and Speed + Smaller and Faster Devices
= more Analytics per Interaction + on the Device
External Data exceed “Owned Data”
-> organizationsmust compete on a larger share of
external data, thus data they do not control

26. Inverted Data Warehouse (IDW)
o
o
o
Inspiration from CERN’s LHC
“Shotgun Approach”; equal to formulating
hypotheses; data scientist
No single point of failure
(parallel Query Nodes have also been tested)

27. Inverted Data Warehouse (IDW)



Possible to Query 32.5B “rows” for “the Little Guy”
Robust
Operationally & Strategically Useful

28. What it means for TARGIT customers:
Would it be interesting to know
what a customer is looking for
before entering your business?

29. What it means for TARGIT customers:
Would it be interesting to know
what customers say to friends
after doing business with you?

30. Why?

31. Hive/Hadoop & BigQuery

32. The Future

37. The TARGIT Journey
Strategic
Data-Driven Culture
Dynamic Integration/Rejection of
Internal & External Data
-> Competing on Analytics
Integrated Action Loop
Dashboards, Analytics, Reports & Agents
-> Self-Service BI & Ad-Hoc Analytics
Getting Started Using Accelerators
-> Easy Analytics & Reports
Operational
# Data Sources
x Data Size
Time

38. The TARGIT Journey
Strategic
Data-Driven Culture
Dynamic Integration/Rejection of
Internal & External Data
-> Competing on Analytics
Integrated Action Loop
Dashboards, Analytics, Reports & Agents
-> Self-Service BI & Ad-Hoc Analytics
Getting Started Using Accelerators
-> Easy Analytics & Reports
Operational
# Data Sources
x Data Size
Time

39. Fight !