Presentation by Dr Rado Kotorov

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

2. The New Business Reality
2

3. IT and Business Have Divergent Priorities
3
Technology Projects New Revenue Models

4. Why Didn’t IT Invent UBER?
4

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

6. Change the Mindset: Manage Cyber Assets
6

7. Change the Mindset: Innovate with Data
7

8. Change the Mindset: Think Data Monetization
8

9. Success Requires IT and Business Partnership
9

10. Trend 1
10
Industry 4.0: Building the new digital enterprise using automation

11. Transition to Enterprise 4.0 Is a Strategic Priority
11

12. The Foundation of Enterprise 4.0
12
PWC 2016 Global Industry 4.0 Survey

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

14. Imperative: Manage The Data Value Chain
14

15. Trend 2
15
Analytics in the Digital Culture Revolution: Democratizing BI for
fact-based decision making

16. Only 22% of Employees Have Access to BI & Analytics
16

17. The Most Important Stakeholders Are Left Out
Cut Off

18. Operational Intelligence
18
Why You Need to Rethink Your Data and Analytics Roles Now, Gartner July 26, 2016

19. Operational Decision Making Is Different
19

20. How to Deliver BI to Operational Decision Makers?
20
“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).”
Booz Allen Hamilton

21. 21
Adjacent Innovation Approach

22. Expedia: 1,000s of fields/100s of reports/0 training
22
Why do we use this analogy?

23. InfoApps: Iterative Dialog with Data to Find Answers
23

24. The 5 Building Blocks of an InfoApp
24
1) Domains – top level knowledge buckets
• Map your data to knowledge domains
2) Suggestive entry page
• Make it obvious what the user can look for
3) Suggestive results page
• Display the results from the information request
4) Carry-over domain and initial search criteria
• Users can iterate their first requests
5) Prompts and controls for complete personalization
• Personalize completely your information request

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. The Science of Asset Management
40
 Started in 1908
 15 Faculty
 Frederick Taylor’s scientific
management

41. ISO 55000
41

42.  ISO 55000 is an international standard covering
management of physical assets.
42
 Launched in January 2014

43. An asset management system provides a structured, best practice approach to
managing the lifecycle of assets.
 Reduced risks associated with ownership of assets – anything from unnecessary
maintenance costs and inefficiency to accident prevention (explosions at gas
plants for example)
 Improved quality assurance for customers/regulators – where assets play a key
role in the provision and quality of products and services
 New business acquisition - stakeholders gain confidence from the knowledge
that a strategy is in place to ensure assets meet the necessary safety and
performance requirements
 Supports international business growth – demonstrating that the requirements
of an internationally recognized asset management system are being met
43
Source: www.bsigroup.com

44. Did They Miss the News?
44

45. Harvard Business Review: Research
45
 “Digital assets across the entire
economy doubled over the past
15 years.”
 “The most digital companies see
outsized growth in productivity
and profit margins.”
 “We looked at 27 indicators that
fall into three broad categories:
digital assets, digital usage, and
digital workers. Our research
shows that the latter two
categories make the crucial
difference.”
Source:“Which Industries Are the Most Digital (and
Why)?”, HBR, April 2016

46. Integration and ETL are Foundational
46

47. Meet us at Event Title!
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Thank you!
#DataTrends

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