SAP HANA is superfast in memeory database and plaform enabling new possibilities in terms of analytical reporting and realtime data acquisition and consumption. However, the business case is often hard to prove due to high licence costs. Based on our experience with SAP HANA migrations we have collected the most important points for Data Management in SAP BW and system optimisation before moving all data to SAP HANA. Just in few steps you can enhance the benefits of SAP HANA. This presentation will explain you how to analyse your BW, why to implement near line storage what data to housekeep and how code optimisation will help you.

1. Thumbs up or thumbs down?! What you need
to know before migrating to SAP® HANA.
Gregor Stoeckler, DataVard

2. © 2014 DataVard GmbH # 2
Value vs. Cost
vs.How much
VALUE do your
data generate?
How much COST
do your data
generate?

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UserhappinessTCO&dataaccessTCO
Lean Data Management with OutBoard™
§ Performance
optimization, Tuning
§ In-memory
§ Ensure SLAs are met
GOALS TACTICS
§ Set up central policies
§ Use appropriate
storage: Archiving,
NLS, Smart data
access
§ Set up central policies
§ Perform
housekeeping
§ Automation
Information “at your
fingertips”
Speed and high
availability is key
Keep & store
Reduce cost
Purge, delete &
housekeeping
Hot Data
Business critical data
Data required for
reporting and planning
Cold Data / Old Data
Aged data, history
Infrequent, rare use
Need to keep (external/
legal, internal
requirements)
Dead Data
Technical data (e.g.
logs, protocols, PSA)
Redundant data

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5%
15%
15%
9%
11%
32%
5%
5%
3%
Master data
Temporary data
Other data
PSA data
Changelog data
ODS data
Cube E data
Cube F data
Cube D data
Typical data distribution in SAP BW*
Comments:
§ 13-17% of system size
is reporting data
§ Temporary data is
subject to
housekeeping
(BALDAT,
RS*DONE, ...)
§ HANA sizing report
gives a 1st indication
(OSS note 1736976)
“Only 12% of all data in BW is actually used.”
Forrester research* Source: DataVard BW Fitness Test

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A customer example - Randstad
CAUSE
Problem
§ System size is growing steadily
(35%+)
§ Some reports are used
infrequently
§ Several reporting solutions only
used temporarily
EFFECT
Situation
§ No classification of data into
important/unimportant
§ Data growth due to high
granularity of data
§ Long ETL runtimes regardsless
of several optimizations

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A customer example (Randstad) with HeatMap
Cost-/Value-Analysis
§ Cost of storing data (incl. RAID
and Backup)
§ Measure # of access
§ Other important KPIs: #User, # of
loads, duration of loads, etc.

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BW Fitness Test – Sample
Check
Here
The BW Fitness Test prepared us excellently to make our SAP
BW fit for the future. We now manage our aged data with
Nearline Storage and improved our Load Performance.
Steffen Muesel, Randstad

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Key take aways – Paving the Road to HANA
System analysis - Know where you are
Using our Gartner-awarded BW Fitness Test will analyse and benchmark your system
against more than 150 others.
Remember: only 13-17% of your system are in active use.
Build a plan - your very personal Road to HANA
Based on the assessment we present to you improvement potential and short term
benefits, including a review of your HANA sizing, housekeeping and archiving potential.
Data Model and ETL changes
Start adopting Data Models, Lookups and Transformations that could be optimized for
the use under HANA.
Code optimization: optimize customer code and replace non-compatible code.
Clean up & optimize your system already now
Archive/NLS: to move inactive data into a highly compressed store.
Housekeeping: clean up of dead / temporary data.

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DataVard presents DataVard
SAP Data Management since 1998
Customers range from SMEs (60 users) to Fortune 500
(e.g. Allianz, BASF, KPMG, Roche, Nestle)
Development partner of SAP® Landscape Transformation Suite
(LT) and Information Lifecycle Management (ILM)
7 locations in Germany (HQ), Italy, Slovakia, United Kingdom
and the US

10. www.datavard.com

11. © 2014 DataVard GmbH # 13
Copyright DataVard GmbH. All rights reserved.
No part of this publication may be reproduced or transmitted in any form or for any purpose without the
express permission of DataVard GmbH. The information contained herein may be changed without prior
notice.
DataVard and OutBoard are trademarks or registered trademarks of DataVard GmbH and its affiliated
companies.
SAP, R/3, SAP NetWeaver, SAP BusinessObjects, SAP MaxDB, SAP HANA and other SAP products and
services mentioned herein as well as their respective logos are trademarks or registered trademarks of SAP
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All other product and service names mentioned are the trademarks of their respective companies. Data
contained in this document serves informational purposes only. National product specifications may vary.
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that are set forth in the express warranty statements accompanying such products and services, if any.
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