SAP Select Barcelona 2015 Session 26764 Apply Powerful Analytics to Handle Business Intelligence and Big Data

1. Apply Powerful Analytics to Handle
Business Intelligence and Big Data
Waldemar Adams @adamsw
SVP Analytics SAP Europe, Middle East, and Africa

2. © 2015 SAP SE or an SAP affiliate company. Allrightsreserved.
Analytics
Analytics Analytics
Business
applications
Traditional view

3. © 2015 SAP SE or an SAP affiliate company. Allrightsreserved.
Analytics
Analytics Analytics
Business
applications
Traditional view
Business
applications
Business
applications
Business
applications
Analytic
capabilities
Promise of
Big Data

4. © 2015 SAP SE or an SAP affiliate company. All rights reserved. 4
New UserRequirements New Data Requirements Technology Innovation
Be more agile,flexible,
simplified,and self-guided
New and more granular data
needed in realtimeto allow more
accurate decision making
Rapid deployments with reduced
totalcost of ownership without
disruption of running solutions
Why Rethink Analytics?

5. © 2015 SAP SE or an SAP affiliate company. All rights reserved. 5
Low Performers High Performers
High-performing Companies Are More Likely To Use Analytics ... Strategically
Significant decision-support or
analytical capabilities
<25% >65%
Value analytical insights to
a very large extent
<10% >35%
UseAnalytics across their
entire organization
<25% >40%
Source: High Performing companies out-perform their industry in terms of profit, shareholder return and revenue growth. Competing on Analytics, Thomas Davenport

6. © 2015 SAP SE or an SAP affiliate company. All rights reserved. 6
Analytics Solution Platform

7. © 2015 SAP SE or an SAP affiliate company. All rights reserved. 7
2Source: IDC – “Worldwide Query, Reporting, and Analysis Software Market
Shares, 2014” – released July 2015
SAP’s revenue growing 6.5% ahead
of the market
12.2%
22.6%
11.0%
SAP
MSFT
IBM
Query, Reporting & Analysis Software Market Share Snapshot
Leader in Gartner Magic Quadrants
ü BI and Analytics Platforms
ü CPM Suites
ü BIG Data InMemory Databases
Leader in Forrester Waves
ü Agile BI Platforms
ü Enterprise BI Platforms
ü Big Data Predictive Analytics
1Source: Gartner – “Market Share Analysis: Business
Intelligence and Analytics Software, 2014”
– released June 2015
SAP is the leader in Analytics
With a 20.4% market share1

8. © 2015 SAP SE or an SAP affiliate company. All rights reserved. 8
Business Intelligence (BI) Needs To Evolve
Raw
data
Cleaned
data
Standard
reports
Ad hoc
reports
and
OLAP
Agile
visualization
What happened?
Why did it happen?
What willhappen?
Userengagement
Maturity of analytics capabilities
Optimization
Predictive
modeling
What is the best
thatcould happen?
Self-
service BI
Predictive
analysis
Collectiveinsight

9. © 2015 SAP SE or an SAP affiliate company. All rights reserved. 9
Business Intelligence Advanced Analytics
Predictive PrescriptiveDescriptive Diagnostic
Exploratory
Analytics
Powered by humans
for humans
Powered by math
for processes
Powered by math
for humans
Predictive Analytics For Every User

10. © 2015 SAP SE or an SAP affiliate company. All rights reserved. 10
SAP Lumira: We Need To Tell Stories.

11. © 2015 SAP SE or an SAP affiliate company. All rights reserved. 11
Combine Geospatial And Business Data
Use geographic information to optimize
business processes and display detailed results
on a high-quality, easy-to-understand map.
Geospatial features include:
• Geocoding, enrichment, and custom
hierarchies
• Custom shapes for regions
• Feature overlay from external providers
• Integrated spatial capabilities
(SAP HANA platform)

12. © 2015 SAP SE or an SAP affiliate company. All rights reserved. 12
Brand sentiment Predictivemaintenance Networkoptimization Insider threats
Assettracking Personalized care Product recommendation
Real-time
risk mitigation
Propensity to churn
Real-timedemand
and supply forecast 360-degree customerview Fraud prevention
Optimize Analytics In Your Organization. Do You?

13. © 2015 SAP SE or an SAP affiliate company. All rights reserved. 13
Go beyond other data-warehouseofferings:
§ Analytic engines based on SAP HANA
§ Real-time processingpowerof SAP HANA
§ Reusablebusiness contentoptimized
forSAP HANA
§ Integration of anydata types and Big Data
technologies
§ Scale out to high volumes anddata lakes
§ Top integration to SAP solutions –
on premise and in cloudenvironments
SAP HANA: Future-Proof Platform For Analytics
Predictive- | Spatial- | Text Analytics- Engines

14. © 2015 SAP SE or an SAP affiliate company. All rights reserved. 14
SAP Cloud
for Analytics
solution
All Analytics.
All users.
One product.
§ Lead the cloud wave, leveraging SAP’s momentum in moving
and creating data in the cloud with SuccessFactors, Ariba, and
hybris, SAPcompanies; SAP Fieldglass solutions; the SAP
Cloud for Customer solution; SAPHANA Cloud Platform; our
Internet of Things (IoT) platform; and SAP S/4HANA.

15. © 2015 SAP SE or an SAP affiliate company. All rights reserved. 15
• Software-as-a-service(SaaS)solution from SAP
• Includes BI; enterprise performance
management; predictive; and
governance, risk, and compliance
• Works with cloud, hosted, and
on premise data-sources
• Built on SAP HANA Cloud Platform
• Open platform as a service
Phoenix
Ashburn
Frankfurt
Sydney
China1
Japan1
Russia2
Brazil2
Data centers for
SAP HANA Cloud Platform
1
Planned 1H 2016 2
Planned 2H 2016
SAP Cloud For Analytics: Trust Your Application

16. © 2015 SAP SE or an SAP affiliate company. All rights reserved. 16
SAP Digital Boardroom
Powered by SAP Cloud for Analytics
• Total transparency
• Instant data-driven insights
• Simplified boardroom processes

17. © 2015 SAP SE or an SAP affiliate company. All rights reserved.
Analytics help people use data
to make better decisions
Thank you. Questions?
Contact:
Waldemar Adams
Senior VP Analytics SAP EMEA
@adamsw
waldemar.adams@sap.com

18. © 2015 SAP SE or an SAP affiliate company. All rights reserved. 18
No part of this publication may be reproduced or transmitted in any form or for any purpose without the expresspermission of SAP SE or an
SAP affiliate company.
SAP and other SAP products and services mentioned herein as wellas their respective logos are trademarksor registered trademarks of SAP SE
(or an SAP affiliate company) in Germanyand other countries. Please see http://global12.sap.com/corporate-en/legal/copyright/index.epxfor additionaltrademark information and
notices.
Some software productsmarketed by SAP SE and its distributors contain proprietarysoftware componentsof other software vendors.
National product specificationsmay vary.
These materials are provided by SAP SE or an SAP affiliate company for informationalpurposesonly, without representation or warranty of any kind, and SAP SE or its affiliated
companies shallnot be liable for errors or omissions with respect to the materials. The only warrantiesfor SAP SE or SAP affiliate company productsand servicesare those that are set
forth in the expresswarranty statementsaccompanying such productsand services, if any. Nothing herein should be construed as constituting an additionalwarranty.
In particular, SAP SE or its affiliated companies have no obligation to pursue any course of businessoutlined in this document or any related presentation, or to develop or release any
functionality mentioned therein. This document, or any related presentation, and SAP SE’s or its affiliated companies’strategy and possible future developments, products, and/or
platform directions and functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason without notice. The information in
this document is not a commitment, promise, or legalobligation to deliver any material, code, or functionality. All forward-looking statementsare subjectto various risksand
uncertainties that could cause actualresultsto differ materially from expectations. Readers are cautioned not to place undue reliance on these forward-looking statements, which speak
only as of their dates, and they should not be relied upon in making purchasing decisions.
© 2015 SAP SE or an SAP affiliate company. All rights reserved.