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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5 Hot Trends for Data and Analytics in 2017
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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
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?
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.
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
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