Check out slides from this 45-minute webcast to see what your organization needs to do to stay on top of the coming technology transformations and gain insight into upcoming trends in analytics. View the webcast recording at: http://ow.ly/Rnu3307Umb9

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Dr. Rado Kotorov, Chief Innovation Officer
Information Builders
5 Hot Trends for Data
and Analytics in 2017

2. Five Hot Trends for BI and Analytics in 2017
2
Dr. Rado Kotorov

3. The New Business Reality
3

4. IT and Business Have Divergent Priorities
4
Technology Projects New Revenue Models

5. Business Is Asking: Why Do We Miss Opportunities?
5

6. Why Didn’t IT Invent UBER?
6

7. Change the Mindset: Manage Cyber Assets
7

8. Change the Mindset: Innovate with Data
8

9. Change the Mindset: Think Data Monetization
9

10. Success Requires IT and Business Partnership
10

11. Trend 1
11
Industry 4.0: Building the new digital enterprise using automation

12. Transition to Enterprise 4.0 Is a Strategic Priority
12

13. The Foundation of Enterprise 4.0
13
PWC 2016 Global Industry 4.0 Survey

14. The Foundation of Enterprise 4.0
14

15. The Foundation of Enterprise 4.0
15

16. Imperative: Manage The Data Value Chain
16

17. Trend 2
17
Analytics in the Digital Culture Revolution: Democratizing BI for
fact-based decision making

18. Only 22% of Employees Have Access to BI & Analytics
18

19. The Most Important Stakeholders Are Left Out
Cut Off

20. Operational Intelligence
20
Why You Need to Rethink Your Data and Analytics Roles Now, Gartner July 26, 2016

21. Operational Decision Making Is Different
21

22. How to Deliver BI to Operational Decision Makers?
22
Data Science is the art of
turning data into actions.
This is accomplished
through the creation of
data products, which
provide actionable
information without
exposing decision makers
to the underlying data or
analytics (e.g., buy/sell
strategies for financial
instruments, a set of
actions to improve product
yield, or steps to improve
product marketing).

23. Expedia: 1,000s of fields/100s of reports/0 training
23
Why do we use this analogy?

24. InfoApps: Iterative Dialog with Data to Find Answers
24

25. An InfoApp Empowers Mechanics to Save Money
25
An InfoApp from Information
Builders available in 14 different
languages for 60,000+ users in
14,000 dealerships. Helps
employees make on the job repair-
or-replace decisions and save Ford
$60 million per year.

26. Trend 3
26
Report Consolidation: Cutting costs, improving BI adoption, and
moving from reports to InfoApps™

27. Report Rich, Information Poor
27

28. Reporting Can Make Employees Inefficient
28
Source:

29. The Vicious Cycle of Reporting
29
Requests a
report
Gets a
report
Has two
questions
Gets two
new reports
Has hundreds
of reports

30. Consolidate into a Single Self-Service InfoApp
30
Has hundreds
of reports

31. Consolidating Large Number of Reports into InfoApps
31
Customer Before
Consolidation
After
Consolidation
Financial
Institution
3,000 30
Retail 1,000 10
Service
Organization
100 1
Transportation 1000 50

32. Monetary & Soft Benefits from Report Consolidation
32
% Reduction
Cost per
Report
($2K to $20K)
X Savings=
Higher
Adoption=
Better
Performance=

33. Trend 4
33
The Rise of Customer-Facing Analytics: Monetizing data and
consumerizing analytics

34. Productizing & Consumerizing
34

35. Analytic Products
35
Yellow Pages provides advertisers
information to measure the
return on their advertising dollars
and track the success of their
campaigns:
 Approximately 52 billon rows
(nine TB) of raw data per day
 Response rate 2 to 10
seconds

36. Analytic Products
36

37. Empower the Consumer with In-Document Analytics
37
20
Billion
10
Per
month
98%
static

38. Transition from PDF to ADF
38
PDF (Portable Document Format)
ADF (Analytical Document Format)

39. Trend 5
39
Data Management in the Digital Enterprise: Master data
management (MDM), data quality, and governance

40. Integration and ETL are Foundational
40