Waldemar Adams, Vice President of BI for Europe, Middle East and Africa at SAP, presented SAP's vision and strategy for business intelligence, big data analytics, and predictive analytics. SAP aims to help companies unlock insights from both structured and unstructured "dark data" through its portfolio of BI, data visualization, advanced analytics, big data, mobile, and cloud solutions. These solutions are designed to help organizations engage users, visualize data, and predict outcomes to gain collective insights.

1. SAP’s vision and strategy on BI & BIG (and small) data
Zaragoza, May 2014
Waldemar Adams | Vice President BI Europe, Middle-East & Africa | @adamsw

2. Analytics
Business
Applications
From Gartner Summit, London
Analytics Analytics

3. Business
Applications
Analytics
Business
Applications
Business
Applications
Analytics Analytics
Business
Applications
Analytic
Capabilities
From Gartner Summit, London
Promise of
BIG data

4. High Performing Companies
50% More Likely to use Analytic Information Strategically
Have significant decision-support/ analytical
capabilities
Value analytical insights to a
very large extent
Have above average analytical capability within
industry
Use analytics across their
entire organization
High Performers Low Performers
Source: High Performing companies out-perform their industry in terms of profit, shareholder return and revenue growth. Competing on Analytics, Thomas Davenport
© 2014 SAP AG. All rights reserved. 4

5. Unlocking the value of “Dark Data”
Use Analytics
10%
75%
Today
Need
Analytics
by 2020
Nucleus Research, Gartner, Fortune Magazine
Missing new insights IT is not agile enough and the
business wants to get involved
=
Ability to manage and consume
all data is getting harder
Not utilizing all the
information out there
Not leveraging the power of
collective insight

6. Graphics: grasundsterne GmbH
Cloud
Analytics?
Mobile
Analytics?
Analytics?
Analytics?
© 2014 SAP AG. All rights reserved. 6

7. Graphics: grasundsterne GmbH
Cloud
Mobile
© 2014 SAP AG. All rights reserved. 7

8. Big data
In-memory
SAP HANA product
Analytics
challenge
technology
use-case
© 2014 SAP AG. All rights reserved. 8

9. Graphics: grasundsterne GmbH
Cloud
Mobile
© 2014 SAP AG. All rights reserved. 9

10. Cloud
& BI as MCaaS
© 2014 SAP AG. All rights reserved. 10

11. MoBbiillee
© 2014 SAP AG. All rights reserved. 11

12. How analytics need to evolve to deliver
collective insights
Raw
Data
Cleaned
Data
Standard
Reports
Ad Hoc
Reports &
OLAP
Agile
Visualization
Optimization
Predictive
Modeling
What happened?
Why did it happen?
What will happen?
What is
the best that
could happen?
User Engagement
Maturity of Analytics Capabilities
Self
Service BI
Generic
Predictive Analysis
End-to-end
Easy adoption
Fast implementation
Business focused
Enable storytelling
Collective Insight

13. Unleashing the power of Collective Insight
ENGAGE VISUALIZE PREDICT
Real-time Platform (=BIG & small data)

14. Imagine the potential…
:-)
Brand Sentiment
Network Optimization
Insider Threats
Asset Tracking Personalized Care Product Recommendation
Risk Mitigation, Real-time
360O Customer View
Predictive Maintenance
Propensity to Churn Real-time Demand/
Supply Forecast
Fraud Detection

15. Analytics solutions from SAP
Agile
Visualization
Advanced
Analytics
Big Data
Mobile
Collaboration
Cloud
Enterprise
Business Intelligence

16. Enterprise Business Intelligence
Rapidly connect individuals, data and processes to
understand the business and drive better decisions
ENGAGE
A complete view that drives
better decision making
Lowest cost for providing
information to the entire
organization
Increased engagement, quality,
participation and knowledge

17. BI 4.1: engage with all of your data
Compelling BI Apps Anytime
Anywhere
Design once for mobile and
desktop users
Powerful design capabilities
Fully customizable and extensible

18. Agile
Visualization
Agile
Visualization
Advanced
Analytics
Enterprise
Business Intelligence

19. Your Brain is Wired for Visuals
Understanding
available data –
big or small
Finding answers to
questions in no time –
using iterative data
exploration
65% of information is
remembered by people 72 hours
after exposure when a picture
is added
30% of the cortex is devoted
to neurons processing visuals
It takes only 150ms for the
human visual system to process
a complex natural image
100101
011010

20. Agile Visualization
Intuitively explore and present data to reveal new insights at-a-glance
Discover hidden patterns
in information
Users can intuitively explore,
understand, and present data to
make better decisions
Analytics reach the fringes of
the organizations
VISUALIZE

21. SAP Lumira: Agile Visualization Innovations
Crisp HTML5
user experience
Storytelling with data
Free personal edition

22. Advanced
Agile
Visualization
Analytics Enterprise
Advanced
Analytics
Business Intelligence

23. Sense and respond are no longer enough
Severe analytics
skills shortage 50-60% shortfall for
Challenging to detect
meaningful signals in
big data
experienced data analysts
Dun & Bradstreet and McKinsey Global Institute analysis
86% of organizations that
used predictive realized a
competitive advantage
Difficult to apply
predictive algorithms
to anticipate business
trends

24. Predictive results incorporated
into more applications and
processes, for more users
Bridges the skills gap
between human experts vs.
analytical experts
Predict and act in real-time
Advanced Analytics
Confidently anticipate what comes next
to drive better business outcomes
PREDICT

25. Unleash your Collective Insight today
Engage SAP in a Design Thinking Workshop Today
ENGAGE VISUALIZE PREDICT
sapbusinessobjectsbi.com saplumira.com sap.com/predictive
Real-time Platform
saphana.com

26. Success with BI Academy
https://www.sapbusinessobjectsbi.com/bi-academy/

27. Get started for yourself!
New
flavor
of
BI
with
SAP
Lumira
&
Mobile
BI
1
Try
it
with
your
own
data!
Personal
EdiBon
sap.com/trylumira
+
free
download
from
app
store
–
search
for
“businessobjects”
2
…
even
in
the
cloud
https://cloud.saplumira.com
Simple registration, 1 GB of free storage, mobile enabled
3
ü

28. Thank you
Contact information:
Waldemar Adams
VP Business Intelligence EMEA
@adamsw
Waldemar.adams@sap.com

29. © 2014 SAP AG. All rights reserved.
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© 2014 SAP AG. All rights reserved. 29