Next Generation of SAP Solutions Built on
In-Memory ComputingTobias Hoppe-Boeken
May 18, 2011
© 2011 SAP AG. All rights reserved. 2This presentation and SAP‘s strategy and possible future developments are subject to change and may be changed by SAP at any time for any reason without notice. This document is provided without a warranty of
any kind, either express or implied, including but not limited to, the implied warranties of merchantability, fitness for a particular purpose, or non-infringement.
CRM data
GP
S
Demand
Speed
Velocity
Transactions
Op
po
rtun
itie
s
Serv
ice c
alls
Customer
Sales orders
Inventory
E-m
ails
Tw
eets
Planning
Things
Mobile
Insta
nt m
essag
es
Worldwide digital content will double in 18
months, and every 18 months thereafter.
VelocityIn 2005, mankind created 150
exabyte of information. In 2011,
1,200 exabytes will be created.
Volume Variety80% of enterprise data will be
unstructured, spanning
traditional and nontraditional
sources.
Information explosion is acceleratingAn inflection point for the enterprise
Gartner
IDC
The Economist
© 2011 SAP AG. All rights reserved. 3This presentation and SAP‘s strategy and possible future developments are subject to change and may be changed by SAP at any time for any reason without notice. This document is provided without a warranty of
any kind, either express or implied, including but not limited to, the implied warranties of merchantability, fitness for a particular purpose, or non-infringement.
SAP In-Memory Appliance (SAP HANA)
SAP HANA
SAP
Business
Suite
SAP NetWeaver
Business
Warehouse
Other data
sources
Real-time
replicate
ETL
SAP HANA
modeling
SAP
BusinessObjects
tools
Other query
tools
What is SAP HANA? An appliance for processing high volumes of
transactional data in real time
Includes tools for data modeling, data and lifecycle
management, security, operations, and so forth
Provides support for multiple interfaces based on
industry standards
Benefits Get fast, flexible, and detailed data in near real time from
SAP Business Suite software to answer any question
Enable business users to quickly create flexible analytic
models using library of functions
Reuse existing analytical tools to create insightful
dashboards and reports
Reduce IT complexity
SQ
L
MD
X
BIC
S
© 2011 SAP AG. All rights reserved. 4This presentation and SAP‘s strategy and possible future developments are subject to change and may be changed by SAP at any time for any reason without notice. This document is provided without a warranty of
any kind, either express or implied, including but not limited to, the implied warranties of merchantability, fitness for a particular purpose, or non-infringement.
ERP operational reporting with SAP HANA
Description
An essential reporting software with fixed scope, predefined services
at a predictable price with the flexibility for future extension. It
provides a set of reports from the business area of sales, financial,
shipping, procurement, and master data.
Current situation
Struggle with reactive business model and lack of business
transparency due to suboptimal execution speed of the current ERP
operational reporting solution
Value proposition
Provide flexible, real-time analytics, improve business performance,
strengthen competitive advantage, provide quick wins for business
Outcome opportunity
Increase line-of-business efficiency; make planning more accurate
and reporting more timely.
© 2011 SAP AG. All rights reserved. 5This presentation and SAP‘s strategy and possible future developments are subject to change and may be changed by SAP at any time for any reason without notice. This document is provided without a warranty of
any kind, either express or implied, including but not limited to, the implied warranties of merchantability, fitness for a particular purpose, or non-infringement.
Banking solution with SAP HANA
Description
A solution for the banking industry addressing challenges that can’t be
tackled with current IT systems. It makes daily subledger reporting
possible and enables real-time and high-performance reporting on
transaction history over any time horizon.
Current situation
Lengthy closing process involves time lags and poor query
performance. Account analysis over long periods is not possible.
Value proposition
Allow respective management to make faster decisions to improve
future performance via daily financial reporting. Enable extended
customer account analysis and service over any time horizon.
Outcome opportunity
Enable easier and faster reconciliation. Speed up closing processes.
Increase customer retention.
© 2011 SAP AG. All rights reserved. 6This presentation and SAP‘s strategy and possible future developments are subject to change and may be changed by SAP at any time for any reason without notice. This document is provided without a warranty of
any kind, either express or implied, including but not limited to, the implied warranties of merchantability, fitness for a particular purpose, or non-infringement.
In-memory applications
• SAP NetWeaver Business Warehouse on
SAP HANA
• SAP BusinessObjects Strategic Workforce
Planning
• SAP Dynamic Invoice Discounting
• SAP Trade Promotion Management
• Sales and operations planning
• Smart meter analytics
• Dynamic cash management
• Profitability analysis accelerator for SAP ERP
(CO-PA)
© 2011 SAP AG. All rights reserved. 7This presentation and SAP‘s strategy and possible future developments are subject to change and may be changed by SAP at any time for any reason without notice. This document is provided without a warranty of
any kind, either express or implied, including but not limited to, the implied warranties of merchantability, fitness for a particular purpose, or non-infringement.
Profitability analysis accelerator for SAP ERP (CO-PA) Advanced by SAP In-Memory Computing
Description
Acceleration of reporting and allocation processes in ERP profitability
analysis (CO-PA) leveraging in-memory performance inside ERP.
Current situation
Runtime of cost allocations can be very high and may prevent
iterations in the period end close. Analysis on detailed line-item data
can be restricted in ERP due to large data volumes, while data
warehouses do not reflect transactions quickly enough during period-
end close.
Value proposition
Provides significantly faster allocations during month-end reporting
and real-time, high-performance reporting on line-item level. Keeps
your existing ERP configuration and processes intact.
Outcome opportunity
Period-end processes can be accelerated. More detailed data
provides higher transparency of profitability.
© 2011 SAP AG. All rights reserved. 8This presentation and SAP‘s strategy and possible future developments are subject to change and may be changed by SAP at any time for any reason without notice. This document is provided without a warranty of
any kind, either express or implied, including but not limited to, the implied warranties of merchantability, fitness for a particular purpose, or non-infringement.
Scenario: 120 million line items, report on product-related dimensions for a single company
Profitability analysis accelerator for SAP ERP (CO-PA) Initial customer experiences are breathtaking
SAP HANA reporting
Less than 1 second
(runtime for specific scenario, no general statement)
Directly on line-item level, no precalculated data
aggregation levels required
No limit on drill-downs and details
Data immediately available for reporting, no waiting on
data load processes to data warehouse
ERP reporting
Up to several hours
(runtime for specific scenario, no general statement)
Precalculated data aggregation levels
Processing time for next navigation step depends on
whether aggregate exists
Parallel drill-down to multiple dimensions may not be
possible anymore
© 2011 SAP AG. All rights reserved. 9This presentation and SAP‘s strategy and possible future developments are subject to change and may be changed by SAP at any time for any reason without notice. This document is provided without a warranty of
any kind, either express or implied, including but not limited to, the implied warranties of merchantability, fitness for a particular purpose, or non-infringement.
Smart meter analyticsAdvanced by SAP In-Memory Computing
Description
New SAP software, advanced by SAP In-Memory Computing, that
can provide real-time insights on the large volumes of smart meter
data and enable new ways of serving customers
Current situation
Utilities around the world are deploying smart meters to millions of
homes and businesses. These devices generate data every 15 to 30
minutes, resulting in large volumes of data for the utilities companies
and a major opportunity to translate this data into critical insights and
business drivers.
Value proposition
In-memory computing will enable significant cost savings and new
business models (for example, usage-based pricing) based on real-
time information and execution, while helping customers save energy
and becoming more sustainable.
© 2011 SAP AG. All rights reserved. 10This presentation and SAP‘s strategy and possible future developments are subject to change and may be changed by SAP at any time for any reason without notice. This document is provided without a warranty of
any kind, either express or implied, including but not limited to, the implied warranties of merchantability, fitness for a particular purpose, or non-infringement.
SAP BusinessObjects Strategic Workforce PlanningAdvanced by SAP In-Memory Computing
Description
Companies need to understand where critical resource gaps exist that can
impede business progress and make sure they have the right resources to
enter new markets and support new opportunities.
Current situation
Strategic business imperatives are not translated into workforce plans, and
personnel costs are too high due to a large volume of ad hoc hires.
Value proposition
SAP BusinessObjects Strategic Workforce Planning enables real-time
analytics to understand the organization’s workforce (such as hiring needs,
attrition rates, trends) and provides complex simulations to assess future
workforce needs to support strategic goals and critical business operations.
Outcome opportunity
Companies have the right resources, in the right place, at the right time and
price, to execute the business strategy.
© 2011 SAP AG. All rights reserved. 11This presentation and SAP‘s strategy and possible future developments are subject to change and may be changed by SAP at any time for any reason without notice. This document is provided without a warranty of
any kind, either express or implied, including but not limited to, the implied warranties of merchantability, fitness for a particular purpose, or non-infringement.
Sales and operations planningAdvanced by SAP In-Memory Computing
Description
A new SAP solution to optimize meeting long-term future product
demand in profitable manner
Current situation
Spreadsheet or other solutions rely on aggregated data and lack
calculation speed and precision.
Value proposition
Real-time profitability of sales and marketing plans aligned with
supply chain assumptions up to 4-5 years into the future.
Interactive what-if scenarios on full S&OP model. Alerts in social
networking platform instantly identifying S&OP issues across
billions of records.
Outcome opportunity
Better, faster company-wide revenue and profit visibility. Plan for
risks and opportunities via real-time scenarios. Accelerate S&OP
process from weeks to days.
© 2011 SAP AG. All rights reserved. 12This presentation and SAP‘s strategy and possible future developments are subject to change and may be changed by SAP at any time for any reason without notice. This document is provided without a warranty of
any kind, either express or implied, including but not limited to, the implied warranties of merchantability, fitness for a particular purpose, or non-infringement.
In-memory computing supported by SAP Groundbreaking technology specifically tuned for your industry
Only SAP combines transactional and analytical
applications enabled by in-memory computing
Only SAP can conduct analysis, performance
management, and operational execution in a single
system with real-time links between insight, foresight,
and action
Only SAP can enhance existing investments with in-
memory functionality without disruptions or changes to IT
road maps
Only SAP collaborates with industry-leading partners to
deliver in-memory computing solutions tailored to your
business
Thank you!
Contact information:
Tobias C. Hoppe-Boeken
Chief Development Architect
SAP AG
© 2011 SAP AG. All rights reserved. 14This presentation and SAP‘s strategy and possible future developments are subject to change and may be changed by SAP at any time for any reason without notice. This document is provided without a warranty of
any kind, either express or implied, including but not limited to, the implied warranties of merchantability, fitness for a particular purpose, or non-infringement.
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