http://sap.com/bi - This keynote will outline important trends in analytics and how leading-edge companies are accelerating innovation and transforming the way employees, partners, and customers work with information and each other. Presenter: Adam Binnie, SAP

1. The Network of Truth
BI 2013 Keynote
Adam Binnie

2. Before “a single version of truth”
PEOPLE
DATA

3. Before “a single version of truth”
PEOPLE
DATA
DATA PEOPLE

4. A single version of truth
PEOPLE
DATA

5. A single version of truth
PEOPLE
DATA

6. New challenges for “the single version of truth”
User expectation has changed
PEOPLE
DATA
Data is getting BIG

7. Looking back at big data FBI records department
from 1943
112,500,000
fingerprint files
85,000 law
documents

8. Big data today GE engines in 2013
“
“These engines
generate 1Tb of data
per aircraft per day”
Jeff Immelt – CEO GE
Keynote for Minds + Machines
2012 talking about the new
LEAP engine
”

9. New information signals What signals are you
missing?
“
:-) In 2011 the amount of
data surpassed 1.8
Brand Sentiment Predictive Maintenance Network Optimization Insider Threats
Higher NPS Less Downtime Lower Cost Greater Security Zettabytes
90% of the data in the
world today has been
created in the last two
Asset Tracking Personalized Care Product Recommendation Risk Mitigation, Real-time years alone
Increase Productivity Loyal Customers More Sales Retain Market Value
IDC Digital Universe Study
Extracting Value from
Propensity to Churn Real-time Demand/ 360O Customer View Fraud Detection Chaos
Greater Retention Supply Forecast Loyal Customers Lower Risk
More Efficient
”

10. Demo F1
© 2013 SAP AG. All rights reserved. 10

11. A changing relationship with information How many models in
2013?
“
In 1908, the price of a
Model T was around
$825, and by 1912 it had
dropped to around $575.
Wikipedia
”

12. A changing relationship with information From mass production
to mass specialization
“
Every product and
service will be offered
to us in exactly the way
we need it, not how
manufacturers want to
deliver it.
A Demographic of One,
Michael S. Malone
”

13. A changing relationship with information From mass production
to mass specialization
“
Every product and
Personalized Sensing and service will be offered
Insights Responding to us in exactly the way
we need it, not how
manufacturers want to
deliver it.
Advanced Planning Predictive A Demographic of One,
and Forecasting Modeling Michael S. Malone
”
Real-time Reporting
and Analysis

14. Demo NFL
© 2013 SAP AG. All rights reserved. 14

15. We need a “Network of Truth”
User expectation has changed
DATA PEOPLE
Data is getting BIG

16. Network of Truth
Analogy – Encyclopedias
Wikipedia
Local experts Encyclopedia
Britannica
Encarta

17. Connecting people to data
Network of Truth
“
70% of respondents can
envisage a “killer
Real-time data platform application” for big data that
would be “very useful” or
“spectacular” for their
business.
Optimized for people
The majority chose not to
disclose what that
application would be
Information culture because it would provide a
competitive advantage.
AIIM survey of 345 Information
Professionals 2012
”

18. Connecting people to data
Real-time Data Platform
“
By 2016, in-memory
column-store DBMS
using storage-class
memory will replace
25% of traditional DW
and OLTP systems.
”
Gartner, Business Intelligence &
Information Summit, DBMS
Architecture for Data Warehousing
-- Future Choices,
Donald Feinberg, February 2013

19. Connecting people to data
5 dimensions of big data
Deep
Complex and
interactive questions
on granular data “
By 2016, in-memory
column-store DBMS
Broad High Speed
using storage-class
 Big data  Fast response time memory will replace
 Many data types  Interactivity 25% of traditional DW
SAP and OLTP systems.
DATA
HANA
”
Real Time Simple
 Recent data  No data preparation
 Preferably real-time  No pre-aggregates
 No tuning Gartner, Business Intelligence &
Information Summit, DBMS
Architecture for Data Warehousing
-- Future Choices,
Donald Feinberg, February 2013

20. Video
© 2013 SAP AG. All rights reserved. 20

21. Connecting people to data
Optimized for People
“
The average person
today processes more
data in a single day than
a person in the 1500’s
did in a entire lifetime.
The Human Face of Big Data
”

22. Connecting people to data
Optimized for people
“
The average person
Decision
Explore Monitor
Maker today processes more
data in a single day than
Designer a person in the 1500’s
Design Plan PEOPLE did in a entire lifetime.
The Human Face of Big Data
Govern DATA Enrich Explain
”
Analyst

23. Demo
© 2013 SAP AG. All rights reserved. 23

24. There’s a data geek in all of us Join the data geeks
www.sap.com/datageek

25. Connecting people to data
Information Culture
“
When you two have
finished arguing your
opinions, I actually
have data!
© timoelliott.com
”

26. Connecting people to data
Information Culture
“
Use information as a strategic The stone age was
asset in decisions marked by man's
clever use of crude
tools; the information
age, to date, has been
Build and tell fact-based stories marked by man's
crude use of clever
tools.
Maximize performance with
effective use of information Anon
”

27. Make informed and intelligent decisions
Create meaning from the
chaos of big data
Get information in
personal, trusted,
interactive view anytime,
anywhere
Understand risk at
every step of decision
making

28. Increased efficiency
with user independence
Trend analysis
Inventory optimization
Improved hiring
decisions

29. Experience the show like never before Coinstar and Redbox
Inventory optimization
Real-time offers
Servicing efficiency

30. The intelligent city City of Boston
Safety and security
Smarter city governance
Sustainable

31. Fashion retail like never before Burberry
Improved customer
experience and loyalty
#1 IT-driven fashion
retailer
Innovation with personal
mobile app

32. Network of Truth
DATA PEOPLE

33. Network of Truth
SAP PEOPLE
HANA

34. Network of Truth
SAP SAP Visual
HANA Intelligence

35. Connecting people to data
Introducing SAP HANA insights
Traditional Stack
“
DBA and
We’ve seen dramatic
IT Costs cost reduction with
Predictive
SAP customers, up to
BI tools 60% compared to the
SAP HANA Insights traditional approach
Analytic DB
DBA and IT Costs Sanjay Poonen
ETL
SAP HANA Insights
Predictive
”
Relational DB BI Suite
HANA Enterprise

36. Announcing
$
#SAPVisi

37. Join the Discussion to Re-Imagine BI
#SAPVisi
www.sapvisualintelligence.com