DataVard BW Fitness Test and HeatMap
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DataVard BW Fitness Test TM and HeatMap
Transcript of DataVard BW Fitness Test and HeatMap
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DataVard BW Fitness TestTM and HeatMap
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How DataVard Approachs Operation G
oal
EINZELKÄSTEN
Develop a solid understanding of realistic improvement potential. Understand what
really moves the needle.
Analysis
Identify potential for central rules and policies.
Governance
Implement improvement in the identified areas for improvement based on the
central set of rules.
Automation
Shrink your PROD and non-PROD database
Automate (regression) testing to the max
Be ahead of your auditor and secure your landscape
Reflect business changes in your landscape
Match the value of data to its cost. Deploy future ready storage infrastructure (HANA & X).
Automate testing based on system usage (operational intelligence)
System security, Password security, User and authorization management, ABAP code vulnerability
M&A, consolidation, harmonization, standardization, mass data changes, unbundling
Data Management
Security & Compliance
Testing
Managing Business Change
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Identifying value and real usage of the data, potential for performance and size improvement, security & compliance check
to safeguard security, availability & performance, improvement of SAP performance, user management
SAP System-Monitoring with Canary Code
How DataVard Approachs Operation
OutBoard™
ERNA™ KATE
Lean Data Management Testing
Analysis with ERP/BW Fitness Test
Automated housekeeping ERNA Centralises, automates and manages the housekeeping functions across the SAP Landscape. 95% compression into recycle bin
Nearline Storage and Archiving OutBoard Automates and manages data offloading from online database to any storage (RDBMS, Cloud, Hadoop etc.), data remain accessible and writable
Automated Testing KATE Test Case Management, Usage Stats and Heat Maps to check scenarios Script less Test Automation and Automatic Test Data Selection
Selective System Copy Toolsets to manage test environments in SAP ERP/BW aiming at making test systems smaller based on characteristics (eg. time slice) Automated, scramble and authorisation available for compliance
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Click here to see a demo: http://www.datavard.com/erpft/#l=en
How fit is my SAP System? q Analysis of System Usage,
Data Volume and Performance
q Benchmarking
q Trending
q Preparation for Data Management, Upgrade, HANA, Big Data
q Available for ERP and BW
D a t a V a r d B W F i t n e s s T e s t T M
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BW Fitness Test n Identifies data growth and distribution n System performance analysis n System robustness analysis n Comparison of all KPIs against 200+ BW systems in the world
RISK AND BENEFITS ASSESMENT
LEVERAGE INVESTMENTS
INCREASE PERFORMANCE
OPTIMIZE HANA SIZE AND COSTS
DATA CLASSIFICATION
Power of BW Fitness Test
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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
Data distribution in SAP BW*
Comments: § 13-17% of system size is
reporting data § Quick check on
housekeeping potential (size of 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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BW Fitness Test™ - Project Phases
SAP BW
HTML Output incl. Recommendations by DataVard Consultant
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BW Fitness Test™ - Installation
The BW Fitness Test software is shipped and installed to the BW production system as a standard ABAP transport request containing the programs which extract the necessary KPI information.
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BW Fitness Test™ - Prerequisites
Supported BW versions: 7.0+ Supported database systems: • MaxDB • MSSQL • DB2 • DB4 • DB6 • HANA • Oracle • Sybase ASE • Informix
Other Prerequisites: • DB statistics should be up to date (for ORACLE) • Query statistics must be turned ON with the setting - OLAP
Statistics Detail Level = 2 - All (Statistics should be turned on prio to the BW Fitness Test execution, so that data are collected at least 6 to 1 month before the execution)
• Please provide us with the OSS user and the logon data for the BW system which is to be analyzed with at least the following authorizations: SE11, SE16, SE38, SM37, SM50, RSA1, DB02, DB20, /DVD/BWFT, ST22.
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BW Fitness Test™ - Execution
The analysis runs in max 3 background processes no longer than 6 days. There is no impact on the performance of the involved BW systems.
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BW Fitness Test™ – Sample http://bwftsample.datavard.com/
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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Project Phase – BWFT
§ Customizable parallelization
§ Collection of BWFT KPIs
§ Download and shipment of XML results
§ Collection of results § Comparison to best practices / benchmark § Manual analysis and verifications § Customer requirement § Building recommendation
§ Presentation or results and recommendations
§ HTML, PPT or PDF Output
§ SAP transport § ABAP based § Authorization
Technical Functional
Technical Execution Installation of BWFT Analysis of Results Delivery and Presentation
1st Week 2nd Week 3rd Week 4th Week
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A Co-Innovation with Randstad
When running a SAP system many “architect” questions remain open: - Which data / time slice is being actively used - Are applications being used as designed and
planned (# users & data volume) - Date volume vs. data usage in an application - Where does data growth come from - How can I predict data growth - Are the most important reports/queries running at
good performance
HeatMap – Innovation
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DataVard HeatMap for SAP BW – Features
Query runtime
ETL Usage Query usage
Analyzer
Data visualization in a HeatMap Analysis of data in list view
Custom aggregation of statistics
Collectors Statistics
Con
dens
e
Is your HOT data fast enough?
Is your data in active use? Is data loaded in the right frequency?
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DataVard HeatMap - USE CASES
Leading chemical company: 8,1 TB of data which was queried less than 5 times over a 6 months period.
DATA MANAGEMENT
Major german bank: 142 Queries that have been executed more than 500 times (during one day) with an avg. runtime of more then 1 minute.
142 * 500 * 1 min = 71.000 mins = 1184 Hours of people waiting.
One of our biggest customers: identify the 500 most frequently used queries with the top 5 selections based on the query statistics gathered by HeatMap.
The result was a reduction in test efforts by 320 hours per SAP Support Package.
With the help of HeatMap a major Oil & Gas producer has identified and subsequently stopped 4,5 hours of nightly loads into unused Objects.
PERFORMANCE TUNING
REGRESSION TEST ETL OPTIMIZATION
8,1 TB non-active data moved to NLS
Save 948 hours of waiting per DAY
Reduce test efforts by 320 hours per SP
Stopped 4,5 hours of nightly loads
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Query usage collector - EXAMPLE
Size KPI (size of box) = Size of InfoProvider in GB
Color KPI: Access in given time frame via queries (green = HI, red = LOW/No)
A
B
Full system InfoCube analysis § Analyzed time frame 11.6. – 21.11. § 22.130 GB of data in 1.113 InfoCubes
analyzed § Analysis runtime of 54 hours § 8.138 GB of data with less then 5 queries
accessed, o/w 3.154 GB not at all
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Objective: Ensure important queries perform at top speed
Size KPI: Usage of queries in given period
Color KPI: Average query runtime
Use case: - Support for performance optimization of queries - See which queries are important and have bad performance - Validate performance optimization – before and after
Query runtime collector
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Full system analysis - Analyzed time frame of one day
21.11.2014 - Analysis runtime of 10 minutes - 142 Queries with avg. runtime more
then 1 minute - The queries have been executed 551
times (during one day) - 142 * 500 * 1 min = 71.000 mins = 1184
Hours of people waiting
Query runtime collector - EXAMPLE
Usage of queries in given period
Color KPI: Average query runtime
A
B
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DataVard‘s HeatMap build Operational Intelligence from user behavior above and beyond the BI statistics (! time slice).
Best use cases are: - Reviewing the architecture (data still in use,
granularity / aggregation, data distribution etc.) - Data Management (esp. in preparation for SAP
HANA) like NLS, Housekeeping or avoiding data - Performance Optimization (reporting and ETL) - Test Management
Key take aways
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Project Phase – BWFT incl. HeatMap
§ Customizable parallelization § Collection of BWFT KPIs § Collection of Extended Query Statistics
(recommended 6 weeks, but can differ) § Download and shipment of XML results
§ Collection of results
§ Comparison to best practices / benchmark
§ Manual analysis and verifications
§ Customer requirement
§ Building recommendation
§ Presentation or results and recommendations
§ HTML, PPT or PDF Output
§ SAP transport with BWFT and HeatMap
§ ABAP based § Authorization
Technical Functional
Technical Execution Installation of Software Analysis of Results Delivery and Presentation
Duration - 1 week Duration - 6 weeks (recommended) Duration - 1 week Workshop - 1 day
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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, OutBoard, ERNA, CanaryCode, BW Fitness Test and ERP Fitness Test 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 AG in Germany and other countries. 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. These materials are provided by DataVard GmbH and its affiliated companies (“DataVard") for informational purposes only, without representation or warranty of any kind, and DataVard shall not be liable for errors or omissions with respect to the materials. The only warranties for DataVard products and services are those that are set forth in the express warranty statements accompanying such products and services, if any. Nothing herein should be construed as constituting an additional warranty.
CR Copyright DataVard GmbH. All rights reserved. CR Copyright DataVard GmbH. All rights reserved.
