Chemtura Archives and Carves Out Data to Reduce Risk for Move to SAP HANA BITI7181 Jim Prins, Chemtura Katharina Perigo, Dolphin

Transcription

1 Chemtura Archives and Carves Out Data to Reduce Risk for Move to SAP HANA BITI7181 Jim Prins, Chemtura Katharina Perigo, Dolphin

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4 Speakers Jim Prins VP-Director Of Technology, LanXess James (Jim) Prins is an IT Leader managing internet and enterprise applications and the on-site and offshore teams that build, enhance and support them. He is responsible for Basis, Compliance, IT Operations and Custom Development. Katharina Perigo Principal Data Consultant, Dolphin Katharina has almost 20 years of experience with SAP systems, specializing in information lifecycle management strategies. She has worked with some of the largest and most complex SAP systems in North America and Europe. 4

5 Agenda About Lanxess Why Data Volume Management? Divestiture & Data Carve Out Results Wrap Up

6 Chemtura is Now LANXESS A globally operating specialty chemicals company Specialty chemicals company Spin-off from Bayer in 2004 Specialty chemicals portfolio: plastics, rubber, intermediates and specialty chemicals Global success story 75 sites worldwide Approximately 19,200 employees in 25 countries Global sales of EUR ~9.2 billion in 2016* Strategy of profitability and resilience Enhancing its leading position in mid-sized markets 6 *Combined sales of LANXESS and Chemtura in 2016

7 Successful transformation Latest Chemtura acquisition strengthened our engineering materials position Our path towards the New LANXESS Ongoing business and portfolio improvements Petroleum Additives ARLANXEO operational Acquisition C&D Acquisition Urethanes Great Lakes Solutions Organometallics Restructuring Energizing Chemistry! 7

8 2014 Divestiture Business view IT view SAP Chemtura data Agrochemical data Remove divested data to reduce cost & complexity of move to SAP HANA 8

9 Agenda About Lanxess Why Data Volume Management? Divestiture & Data Carve Out Results Wrap Up

10 Business Drivers for Data Management SAP Chemtura/ Lanxess data Agrochemical data Needed an information management strategy to: Remove data from divested company Reduce system size to rationalize the cost of transitioning to HANA in TB System growing at 11 GB per month Goals for SAP System: Smaller Less Costly No Loss in Business Functionality 10

11 The Need for Data Management ~50% of data in SAP systems is 2 years old or older 22% of data is related to basis objects 33% of the largest ERP tables are custom (z-) tables A significant percentage of the data in existing SAP systems is old or obsolete. Slows down SAP system performance Increases maintenance time and effort Increases TCO of SAP systems TechEd 2016: ITM211 -Data Volume Management in the Context of SAP S/4HANA Conversions 11

12 Archiving Reduces Data Volume in On Line Systems

13 Online Archive Control Data Volume Growth with Archiving Data Archiving Moves Static Data to Archive Storage Data Growth in Production SAP Systems is Controlled Y1 Y2 Y3 Y4 Y5 Y6 Y7 Y8 Time Y9 Y10

14 Phased Approach to Information Management Phased approach enabled company to achieve goals without disrupting business: 1. Get rid of data the company did not need Reduce size of SAP system by removing technical/binary data (idocs, MSDS documents, etc.) 2. Relocate the non-operational data to less expensive archive storage Automate the archiving process to ensure consistent data volume management according to policies 3. Provide seamless access to archived data for business users Maximizes the potential to archive operational data and positions company for future data management initiatives 14

15 Project Timeline 8TB March TB May 2015 Total Reduction of ~7 TB March 2016 Oct 2016 S/4HANA Conversion Begins Oct 2016 Jan 2017 HANA compression reduces data volume +1TB +3TB Technical Archive & Doc Migration Begins Removed ~3 TB of data & documents Data Carve Out Begins Removed ~1TB of data Data reorg further reduced data by ~1 TB Phase 1: Data Volume Management Phase 2: Data Carve Out Phase 3: Future Data Mgmt 15

16 Database Analysis & Blueprint Conducted an analysis with Dolphin to determine best approach. Recommendations: Archiving of Technical Objects to regain ~20% of database Replace aging content repository which was costly to maintain Migrate documents to new repository 16

17 Information Management Strategy: Phase 1 Phase 1: data clean up and technical archiving Established the infrastructure & team necessary for future information management To demonstrate value quickly: Selected top 8 archiving objects Identified tables with fastest growth Estimated savings from the archive 17

18 IT & Information Management Partner Strategy Small staff of IT employees that manage strategy and governance Archiving is a well defined and contained project that doesn t touch a lot of areas Sought to partner to provide archiving services Engaged partner with expertise to complete the projects quickly Comprehensive archiving solution with products and services Only billed for hrs we use this is HUGE as when the project was paused due to business push back would have impacted project costs 18

19 Phase 1: Timeline January 2015 March 2015 May 2015 Analysis & Planning Server Built Migration IDocs Logging Workflow Reorg Ongoing archiving efforts to sustain benefits of data reduction ~3.5 TB removed from system through data archiving and document migration 19

20 Agenda About Lanxess Why Data Volume Management? Divestiture & Data Carve Out Results Wrap Up

21 ILM Strategy: Phase 2 Divested business was consumer focused with lots of transactional data 14 million+ documents related to divested company codes 65% of total system data was related to divested business Decided to carve out data to reclaim space 21

22 Phase 2: Carve Out Requirements Required Criteria Optional Org. Entity Company Code Sales Org. Date Range Example: Fiscal Years Example: Jan 1 May 31, 2011 Plant List Other Wholesale Customer Vendor Materials Name 1 Name 2 Field-level (as required)... Credit Card SSN Date/Time

23 Phase 2: Accelerated Carve Out of Divested Business Data Implemented Archive Accelerator (ACA) solution to manage carve-out of data Identified In-scope data parameters for carve-out by object 23

24 Data Volume Management Solution Components Archive Accelerator Monitor Progress of Archiving jobs Schedule all configured Archiving objects 24

25 Phase 2: Timeline Dec 2015 May 2016 Aug 2016 Analysis & Planning Prototype Accounting Documents Controlling Line Items Sales & Distribution Purchasing Material Documents Archive Retrieval enabled for Accounting Documents & Material Documents ~1.2 TB Carved-out Carve-out in Production 25

26 Phase 2: Project Gotchas! Testing reveals company code should NOT be included Identified compliance requirement to retain access to archived accounting information (data and documents) for divested company Due to a bug in SAP archiving the archive flag was not set. Had to apply OSS notes to get through the S/4 data conversion:

27 Phase 3: Seamless Access to Archived Data Archive Add Ons Provide Easy Access to Online and Archived Data to Minimize Disruption to the Business Selection results Online data Archive data is indicated with an * in the A column Totals from archive + database

28 Agenda Why move to SAP HANA? About DPSG and the Journey to SAP HANA DPSG Data Volume Management Strategy Results Wrap Up

29 Divested Business Carveout Dolphin executed archiving jobs, provided regular status updates and throttled jobs to preserve system performance during project. 29

30 Data Volume Management Results Starting Point Starting Type Size (TB) Data eligible for Archiving (Phase 1) 2.5 Fragmentation 1 Consumer data eligible for Archiving (Phase 2) 1.2 Required Data 3.05 Free Space 0.3 Total TB of free space created through data volume management initiatives End Point Ending Type Size (TB) Required Data 3.05 Free Space 5 Total

31 Project Timeline 8TB 5TB Total Reduction of ~ 7 TB Oct 2016 S/4HANA Conversion Begins HANA compression reduces data volume by almost 2 TB ~1TB March 2015 May 2015 March 2016 Oct 2016 Jan 2017 ~3TB Technical Archive & Doc Migration Begins Removed ~3 TB of data & documents Data Carve Out Begins Removed ~1TB of data Data reorg further reduced data by ~1 TB Phase 1: Data Volume Management Phase 2: Data Carve Out Phase 3: Future Data Mgmt 31

32 Agenda Why move to SAP HANA? About DPSG and the Journey to SAP HANA DPSG Data Volume Management Strategy Results Wrap Up

33 S/4HANA Conversion Considerations Difficult to realistically size until you do the conversion to SAP HANA. How much hardware do you need? SAP sizing tools are more accurate if you reorg your database first. Initially sized the database at over 3 TB. After reorg only needed 1.5 TB Bugs in SAP archiving did not flag data as having been archived. (no archive indicator) Had to apply OSS notes to get through the S/4 data conversion 33

34 Cost Savings from Managing Data Before Moving to SAP HANA The move to SAP HANA required information management to keep costs reasonable. Don t just consider the size of the production production system. Need to consider costs for all the systems in your environment (Dev, QA, etc.). Licensing is complex some options are dependent on data volume Taking 1 TB out of the database takes 3 TB of RAM out of hardware, this results in HUGE savings when you move to HANA

35 Communications Strategy & Risk Considerations Identify business owners and communicate their role in the project early. Don t make it just an IT project Identify the business benefit. Why are you doing this? What s in it for the business users? The data in the live system will still be available once it s archived Estimate the savings. Users understand that they will have to give up something to get that benefit. Stay focused on my experience If accessing archived data from a standard SAP transaction, then custom reports need to be retro-fitted Need to weigh the risk of access to archived data and whether those reports need to be enhanced. This is particularly true for consumer data 35

36 7 Take Aways 1. Include the business early in the process and include them in decision making and testing. 2. Technical objects provide an easy way to start information management projects and set the stage for future archiving of business objects. 3. SAP Data Archiving is a unique skillset, get the right resources to ensure success. 4. Be prepared for delays the better your communication strategy the easier it will be to keep everyone on track. 5. Don t forget to test. Testing can be complex and you need to have enough time and the right resources to do so. 6. Automated archiving significantly reduces time and effort required to carve out data, which is essential when there are legally binding deadlines. 7. Data management should be considered early in the lifecycle of every system. 36

37 ABOUT DOLPHIN Focus: SAP Customer Only Proven: solutions for the SAP customer leveraging SAP technology and certified by SAP Stature: 1/3 of all Fortune 100 TM companies running SAP are Dolphin customers Stability: Employee owned; private; independent of other stakeholders; organic growth Longevity: Established in 1995 Global Solutions : Hundreds of scalable, flexible and cost effective deployments 2016 Dolphin 5 37

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40 Thank you for attending my session! For questions, contact me at: Don t forget to fill out the Session Evaluation on the Mobile App! Chemtura Archives and Carves Out Data to Reduce Risk for Move to SAP Insert Presentation HANA Title BITI7181 Insert Jim Speaker Prins, Chemtura Name(s) Katharina & Company Perigo, Dolphin

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