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  • 1. How PG&E implemented SAP BI- A and did performance tuning ] Darin Lemos PG&E Bjarne Berg Director SAP BI [ ANUP MAHESHWARI Comerit Inc. ASUG INSTALLATION MEMBER MEMBER SINCE: 2008 [ SHERRYANNE MEYER ASUG INSTALLATION MEMBER[ AJAY VONKARERY MEMBER SINCE: 2000 ASUG INSTALLATION MEMBER MEMBER SINCE: 1999
  • 2. [ Learning Points  See a practical example from PG&E and understand what you can expect on your implementation  Learn how BI-A works  Explore benefits and limitations of the tool Real Experience. Real Advantage. 2
  • 3. [ Agenda  Introduction  Pacific Gas & Electric Project Overview  What is SAP BI-A  Overview  Building aggregates  Benefits  How we implemented BI-A  Sizing the environment  Team organization and project plan  Testing  BI-A Limitations  PG&E - Our top-10 Lessons Learned  Wrap-up Real Experience. Real Advantage. 3
  • 4. [ In this session. We will look what SAP NetWeaver BI Accelerator can— and cannot—do to optimize dashboard performance. Explore how we PG&E planned, and implemented SAP NetWeaver BI Accelerator. Examine performance benchmarks for SAP NetWeaver BI Accelerator Explore the top 10 lessons learned from the project team and see a sample work plan and an organization chart from this project as a reference for your own SAP NetWeaver BI Accelerator initiative… Real Experience. Real Advantage. 4
  • 5. [ Agenda  Introduction  Pacific Gas & Electric Project Overview  What is SAP BI-A  Overview  Building aggregates  Benefits  How we implemented BI-A  Sizing the environment  Team organization and project plan  Testing  BI-A Limitations  PG&E - Our top-10 Lessons Learned  Other Query Performance tricks  Wrap-up Real Experience. Real Advantage. 5
  • 6. [ PG&E Company Overview  Pacific Gas and Electric Company, incorporated in California in 1905, is one of the largest combination natural gas and electric utilities in the United States.  There are approximately 20,000 employees who carry provide natural gas and electric service to 15 million people throughout a 70,000-square-mile service area in northern and central California. Real Experience. Real Advantage. 6
  • 7. [ PG&E Company Overview SAP since 1996 Currently on SAP ERP 4.72, upgrade to ECC 6.0 in 2009 8,500 users for all back office and field operations –Finance/Controlling –HR Org/Benefits/Personnel/Payroll –Employee Self Service: 20,000 employees; 18,000 retirees –Manager Self Service –Supply Chain Management --Materials Management & Supplier Relationship Management –Equipment/Work Order Management in Plant Maintenance –Business Warehouse First major go live was a 50,000 person day project in October 2007 Real Experience. Real Advantage. 7
  • 8. [ PG&E SAP Project Overview Detailed Design Phase Roadmap Phase • Design the foundation for the deployment • Vision and Strategy of new processes and tools • “To-be” business capabilities • Design SAP customizations • Build business case for change • Design training and performance support Aug 04 - Nov 04 Feb 05 – Oct 05 Nov 05 – Sep 06 Oct 06 – Design Phase Foundational Release: Build, Test, and • Design Level 1 and Level 2 Deployment Phases processes • Build Customizations • Application architecture • Build Procedures and Training • Design “To be” organization • Convert master and transactional data to enable future business processes and technology • Assembly Test • Product Test • Deployment Real Experience. Real Advantage. 8
  • 9. [ PG&E Project Scope - EAM WRM Real Experience. Real Advantage. 9
  • 10. [ PG&E Project - Scope and Modules SAP  PG&E has used SAP for almost 10 years in various Modules & forms Versions  R/3 4.7 utilized- (PM, PS, MM, SD,SRM)  Modifications to existing FI and HR-CATS functionality  Integration with third party applications: ClickSoftware (ClickPlan, & ClickSchedule), ITRON LD-Pro and ESRI GIS  SAP BI 7.0 Impacted 8,500 (1,500 core EAM, rest for supply chain) Audience Real Experience. Real Advantage. 10
  • 11. [ PG&E Project Benefits Real Experience. Real Advantage. 11
  • 12. [ PG&E Project BW and History - Performance Needs Delivering High Performance Analytics to a potential user community of 8,500 users requires special considerations for design, technical architecture and hardware. I the spring of 2008, PG&E therefore started an examination of BI-A as potential tool for increasing performance of the financial dashboards in SAP BI. The scope of this effort was primarily finance, but the benefits were also intended to benefit a larger user community. Real Experience. Real Advantage. 12
  • 13. [ Agenda  Introduction  Pacific Gas & Electric Project Overview  What is SAP BI-A  Overview  Building aggregates  Benefits  How we implemented BI-A  Sizing the environment  Team organization and project plan  Testing  BI-A Limitations  PG&E - Our top-10 Lessons Learned  Wrap-up Real Experience. Real Advantage. 13
  • 14. [ Why BI-A? Disk speed is growing slower than other HW components Technology Drivers Architectural Drivers 1990 2009 Improvement 1990 2009 Disk based data In-memory dataCPU 0.05 8.30 166x storage stores MIPS/$ MIPS/$ Simple Multi-channelMemory 0.02 8.51 425x consumption of UI, high event MB/$ MB/$ apps (Fat client volume, cross UI, EDI) industry valueAddressable chainsMemory 216 264 248x General- purpose, Application- application- aware andNetwork 100 10 100 x agnostic intelligent dataSpeed Mbps Gbps database management Source: 1990 numbers SAP AGDisk 5 400 80x 2009 numbers Dr. BergData Transfer MBPS MBPSPhysical hard drive speeds only grew by 80 times since 1990. Real Experience. Realother hardware components grew faster. All Advantage. 14
  • 15. [BI Accelerator Works by Indexing InfoCubes in Hardware memoryBI Accelerator has been simple SAP Anyto install and operate for BW toolestablished SAP BI teamsYou use process chains tomaintain the BI-A engine aftereach data load IBM, Sun, HP & Fujitsu have standard 32 GB Blades are solutions ranging from $32K to $300K+ certified by SAP that can be installed and tested in as Real Experience. Real Advantage. little as 2-4 weeks (+ SAP license fees) 15
  • 16. [ BI Analytical Engine’s Query executing priorities Information Broadcasting / Information Broadcasting / Precalculation Precalculation Query Cache Query Cache Aggregates SAP NetWeaver BI Accelerator InfoProvider Query Execution Query Execution Without BI Accelerator With BI Accelerator Aggregates can be replaced with BI-A, while the memory cache is still useful. Real Experience. Real Advantage. 16
  • 17. [ Performance is Near-Linear: Benchmarks BIA’s strength resides in its near-linear scalability Performance is measured in terms of: 1. BI-A index creation time 2. Multi-user throughput per hour 3. Average report response time 4. Average number of records touched by each report BIA Currently reads data from InfoCubes. DSOs & InfoObjects are still read from base/physical tables (even when the InfoObject is indexed as part of master data). Real Experience. Real Advantage. 17
  • 18. [ Most customers have found BIA Admin to be minimal The training & admin to runBI Accelerator has proven to be minimal. Training isincluded in the SAP courses: BW310, BW360 and in the online course BW361 Many companies, have spent 2-5 days in BIA training (total for 1-2 administrators) and a work through a single interface: RSDDBIAMON (Checks available at: RSRV) In the past, SAP has also offered a 2 day workshop called “BI Upgrade & Accelerator” (WNABIA) Real Experience. Real Advantage. 18
  • 19. [ Agenda  Introduction  Pacific Gas & Electric Project Overview  What is SAP BI-A  Overview  Building aggregates  Benefits  How we implemented BI-A  Sizing the environment  Team organization and project plan  Testing  BI-A Limitations  PG&E - Our top-10 Lessons Learned  Wrap-up Real Experience. Real Advantage. 19
  • 20. [ Sizing was critical, but good tools were available to helpSAP has integrated key sizing parameters for BIA in the newQuickSizer. You can give it a try at: http://service.sap.com/quicksizer Customer with existing BI systems and data loaded can get good sizing estimates by running the SAP program available in SAP Note: 917803 Real Experience. Real Advantage. 20
  • 21. [ Some Hardware options we looked at Operating Systems and Storage SUSE Linux 64-bit, Intel based Memory based and file storage (no database for Accelerator) Available Hardware Platforms HP (HP ProLiant and HP StorageWorks) IBM (IBM Blade Center and IBM Total Storage) FujitsuSiemens (FSC Blade Server and EMC Storage) SUN Microsystems (SUN Blade Server and StorageTek) The hardware implementation is done by the vendors. Be prepared for lead times on delivery of large systems (Made-to-Order is common). Real Experience. Real Advantage. 21
  • 22. [PG&E - Our Initial Hardware sizing (July 2008) Environment Area Recommended size IBM example* Production Blade servers 14 Blades BladeCenter HS21 -8853G6U Production Memory 2x8 GB (2x4) DDR2 total 16 GB 39M5797 Production Processors 2 x Quad Core Intel Xeon Processor 2 x Quad Core Intel Xeon Processor Production Processor speed 3.00 GHz+ 3.00 GHz Production Network cards 2 x Gigabit Cisco cards 32R1760 Production External storage Dedicated disks (500 GB+) DS-4800 Production File system General Parallel file system (GPFS) GPFS Production Chassis 14 blades capacity H-series (rack-mount/9U) 88524XU QA Blade servers 14 Blades BladeCenter HS21 -8853G6U QA Memory 2x8 GB (2x4) DDR2 total 16 GB 39M5797 QA Processors 2 x Quad Core Intel Xeon Processor 2 x Quad Core Intel Xeon Processor QA Processor speed 3.00 GHz+ 3.00 GHz QA Network cards 2 x Gigabit Cisco cards 32R1760 QA External storage Dedicated disks (500 GB+) DS-4800 QA File system General Parallel file system (GPFS) GPFS QA Chassis 14 blades capacity H-series (rack-mount/9U) 88524XU Development Blade servers 4 Blades BladeCenter HS21 -8853G6U Development Memory 2x8 GB (2x4) DDR2 total 16 GB 39M5797 Development Processors 2 x Quad Core Intel Xeon Processor 2 x Quad Core Intel Xeon Processor Development Processor speed 3.00 GHz+ 3.00 GHz Development Network cards 2 x Gigabit Cisco cards 32R1760 Development External storage Dedicated disks (300 GB+) DS-4800 Development File system General Parallel file system (GPFS) GPFS Development Chassis 14 blades capacity H-series (rack-mount/9U) 88524XUWe found that the BIA should be sized for critical applications. Most companies use BIA only for Production, while others have a complete landscape Real Experience. Real Advantage. 22
  • 23. [ PG&E - Our Query Performance Improvments Current With Queries performance Improvement BIA (seconds)CS Expense - 5 Year History 169.25 14.54 1064%Charges to Partners via Orders - Units 243.40 21.37 1039%Charges to Partners via Orders $ 171.39 18.28 838%Std Cst Var - PCC Count 136.84 15.72 770%ActPlan vs Target by MWC - SummaryBU Expense - 5 Year History 179.09 201.90 21.25 25.23 743% 700% The slowestCR - Expense Order Cost In 166.37 24.59 577% queries thatLabor Cost In Hours 84.66 14.39 488%24 Month Rolling FC - Amounts 173.60 29.82 482% spent most ofActPlan vs Target by MWC - Expense 122.91 21.40 474%SR_RCC_Order Costs by Planning and Actual Orders 171.31 29.86 474% their time onLabor Prod ST Hours 91.01 18.12 402%CWIP - LOB 45.06 9.43 378% the databasePaid OT Hours 83.37 17.55 375%ActPlan vs Target by MWC - Non Earnings 96.28 23.52 309% side benefitedPCC Labor $/Qty by CE, Plan, Act - Mid-Year 69.32 17.73 291%ActPlan vs Target by MWC - OBS 107.86 28.58 277% the mostCR - PCC Costs Billed Out 163.16 45.07 262%Annual Amt by MWC 100.94 28.18 258%Monthly Run Rate vs Annual EOY 98.82 29.56 234%Monthly Run Rate by Primary Cost ElemActivity Price Report (KSBT) 62.01 52.59 19.35 17.52 220% 200% Overall 36 ofPCC Non-Labor $ by CE, Plan, Act - Mid-YearMonth/YTD/Annual Amt by MWC 32.99 76.94 11.44 28.46 188% 170% 70 queriesActual Cost Line Items for Cost Centers (Material & Service)CR - PCC Costs 24.48 62.43 9.55 24.49 156% 155% were at leastActPlan vs Target by MWC - CapitalCR - PCC Costs Billed Out to CC 108.49 46.38 42.84 18.86 153% 146% twice asOrder: Actuals since InceptionPaid Labor Hours (excludes Overtime) 25.87 27.39 11.09 11.83 133% 132% fast….SR_PCC Costs_In_Out - Graph 42.83 18.98 126%Actual Cost Line Items for Orders (Other CO Postings) 36.18 16.51 119%Actual Cost Line Items for Cost Centers (Non-PO Invoices) 24.60 11.34 117%Billable Hours 26.55 12.54 112%PCC Std CstExperience. Real Advantage. Real Var Plan - Mid-Year 21.98 10.60 107% 23PCC Billable Hrs, $ by Actv, Plan, Act - Mid-Year 20.51 10.09 103%
  • 24. [ PG&E - Our Query Performance Improvments Current With Queries performance BIA Improvement 58 of 70 (seconds)Actual Cost Line Items for Cost Centers (CATS & Order Confm) 21.17 10.74 97% queries were atActual Cost Line Items for Cost Centers (Other FI Postings) 38.13 19.44 96% least 50%Summary Removal Costs 11.36 5.90 93%Cost Report by Order/Cost Element (PORR/PORY) 63.62 33.55 90% fasterSR_PCC Costs by Cost In and Cost Out 34.33 18.28 88%SR_PCC Costs by Cost In and Cost Out 34.33 18.34 87%SR_PCC Costs_In_Out - Graph 17.00 9.19 85%PCC Activity Prices 16.66 9.18 81%Spend - Tracked/Not Tracked 14.79 8.23 80%Savings % 8.23 4.58 80% Before BIA theActual Cost Line Items for Orders (NEBS) 32.81 18.35 79%Actual Cost Line Items for Orders (Material & Service) 30.41 17.12 78% average queryPCC Detail Planning Report (KSBL) 49.62 28.09 77%Actual Cost Line Items for Orders (Other FI Postings) 32.81 18.86 74% execution tookPCC Headcount by Month - ClassificationSR_PCC Costs by Cost In and Cost Out - 12 Months 21.39 17.66 12.34 10.51 73% 68% 58.8 seconds,Actual Cost Line Items for Orders (Non-PO Invoices) 27.19 16.25 67% after BIA theActual Cost Line Items for Cost Centers (Other CO Postings) 17.18 10.43 65%Actual Cost Line Items for Cost Centers (NEBS) 24.89 15.33 62% average queryActual Cost Line Items for Orders (CATS & Order Confm) 24.48 15.59 57%Actual Cost Line Items for Cost Centers (CO Reposting) 18.34 11.90 54% took 17.9Actual Cost Line Items for Orders (CO Reposting)Conforming % 25.43 6.68 16.55 4.50 54% 48% secondsActivity Type Planning 24.52 16.68 47%Conforming % 6.01 4.23 42% (295% faster).PCC Headcount by Month - Classification (Graph) 15.43 11.58 33%Removal Costs 6.15 4.77 29%Resource Report by PCC/Activity Type (PORV) 39.63 35.42 12%PCC FTE Count by Planning Version - Mid-Year 17.80 15.91 12%CWIP - LOB & Orders 93.04 85.98 8%Savings $ 4.57 4.29 7%Savings $ 4.10 4.02 2%SavingsReal Experience. Real Advantage. % 3.63 3.94 -8% 24Conforming % and Savings % 10.37 11.99 -14%
  • 25. [ PG&E - Query Performance Improvments OVERALL Query execution time before BI-A10 9 8 7 6 5 The major 4 improvement 3 2 was to make 1 0 query 10 15 20 25 30 35 40 45 50 55 60 70 Seconds 80 90 100 110 120 140 160 180 200 220 240 260 execution more Query execution time after BI-A25 predictable20 and overall15 faster10 5 0 10 15 20 25 30 35 40 45 50 55 60 70 80 90 100 110 120 140 160 180 200 220 240 260 Real Experience. Real Advantage. 25 Seconds
  • 26. [ PG&E - Workbook Performance Improvments with BIA Current With BIA Top 20 Workbooks performance Improvement (seconds) (seconds) 1 ORD205 Actual+Plan by MWC W/Plng Orders 614.63 94.75 649% 2 SR_RCC_202 -Order Costs by planning and Actual Orders 171.31 29.86 574% 3 ORD225 - Actuals since Inception 25.87 11.09 233% 4 Forecast Model (Summary Reports) 438.34 113.01 388% 5 ORD418 - Compliance & Savings 58.38 45.78 128% 6 ASM001 - CWIP (LOB, MWC, Order) 155.61 106.08 147% 7 ORD201 Reports 76.94 28.46 270% 8 ORD207 - 5 year historical & FCST 100.94 28.18 358% 9 PMG008_24Mo PRJ Fin by Area/Div/RCC/MWC/Ord/PrjMngr/Mo 173.60 29.82 582%10 PMG005 Reports 63.62 33.55 190%11 ORDPMG001-PORV 39.63 35.42 112%12 ORD230 - Line Items for Order 209.31 119.23 176%13 PCC130 - Line Items for Cost Center 168.79 88.73 190%14 PCC016 - PCC Detail Planning Report (KSBL) 126.73 62.29 203%15 PCC018 - Mid-Year PCC Planning Assumptions for SLSR 179.26 74.95 239%16 PCC116 - Standard Cost & Labor Trend for SLSR Groups 136.84 15.72 870%17 SR_PCC_102 - PCC Costs by In-Out Costs 94.82 47.77 198%18 RCC209A - BU/CS Expense: 5 year history 371.15 39.77 933%19 SR_PCC_401 - Charge-Out Cost Center Type A or E 815.92 165.53 493%20 ORD209 - Plan vs Actual By MWC and primary CE 160.83 48.91 329% Average run times (same selection criteria) 209.13 60.95 363% Average performance improvement for workbooks was 363% faster Real Experience. Real Advantage. 26
  • 27. [Performance Info – PG&E BI-A Indexes build timesInfocubes No of Records Time to build Indexes ( sec)ZMIM_C04 19,867,026 327ZMIM_C03 19,200,412 196ZMIM_C01 2,287,483 95 232,298,392 recordsZKCC_C26ZKCC_C13 125,570 16,287,318 15 138 in 23 infocubes wereZKCC_C12 32,808,858 208 indexed in 90.56ZKCC_C09 1,509,754 68ZKCC_C06 25,346,239 341 minutes.ZKCC_C04 2,936,394 71ZKCC_C03 35,154,491 615ZKCC_C02 33,985,298 225ZKCC_C01 27,747 26 On average we wereZFAA_C02 6,611,084 1520 able to build indexesZFAA_C01 765,838 113KOD_C208 28 10 on 2.56 millionKOD_C207 3,059,811 148KCC_C508 1,036,593 63 records per minuteKCC_C408 3440 11KCC_C407 1,350,169 84KCC_C23 3,058,715 677KCC_C22 20,745,219 149KCC_C208 3,346,213 168KCC_C207 2,784,692 166Total 232,298,392 90.56 minutes RealaverageReal Advantage. Experience. 2,565,132 records indexed per minute 27
  • 28. [ Team organization at PG&E1. We had a small team of 3 people dedicated to the BIA project supported by one basis person, and the rest of the BW team2. Hardware team supported by the vendor was also involved in a part-time capacity.3. Overall the effort was combined with a performance tuning project that also included building of aggregates, caching and query redesigns. Real Experience. Real Advantage. 28
  • 29. [ PG&E - Testing1. We had testers and requirements gathered from the finance community. The goal was at least 50% faster on the 38 web dashboards.2. We achieved: a) 363% faster for workbooks on average b) 70% faster for queries on average c) 58 of 70 queries were at least 50% faster d) Index builds took about 1.5 hrs Real Experience. Real Advantage. 29
  • 30. [ Agenda  Introduction  Pacific Gas & Electric Project Overview  What is SAP BI-A  Overview  Building aggregates  Benefits  How we implemented BI-A  Sizing the environment  Team organization and project plan  Testing  BI-A Limitations  PG&E - Our top-10 Lessons Learned  Wrap-up Real Experience. Real Advantage. 30
  • 31. [ PG&E - Top 10 Lessons Learned1. Plan to order hardware early - lead times can be long2. Make sure you have a committed project sponsor3. Create benchmarks for workbooks, queries and cockpits to document success4. Update to latest service pack5. Involve your basis team and environment management team early Real Experience. Real Advantage. 31
  • 32. [ PG&E - Top 10 Lessons Learned6. Be realistic, not all queries will benefit equally from SAP BIA7. Plan for testing and gradual rollout of BIA to key users8. Make sure failovers and spare blades are part of your hardware sizing9. Create a small dedicated team with access to external expertise as needed10. Perform query tuning and potential redesign as part of a larger system performance tuning effort. Real Experience. Real Advantage. 32
  • 33. [ Agenda  Introduction  Pacific Gas & Electric Project Overview  What is SAP BI-A  Overview  Building aggregates  Benefits  How we implemented BI-A  Sizing the environment  Team organization and project plan  Testing  BI-A Limitations  PG&E - Our top-10 Lessons Learned  Wrap-up Real Experience. Real Advantage. 33
  • 34. [ How does it work in reality?? Currently, the BIA performs aggregation and data selection for the query, all other processing is done by the OLAP analytical engine. Not all query processing will be dramatically faster… In the next SAP NetWeaver release the BIA will handle more of the analytics processing such as “top-5 products sales” which is currently done in the OLAP analytical engine. SAP BIA is not used when the result set exceeds 3 million records (max. default). When the result set is less, the data is sent as one large data package to the application server (need fast network). Real Experience. Real Advantage. 34
  • 35. [ BIA is becoming mainstream Some of SAP reference clients BIA is no longer something exotic. Many of the large BI systems have already implemented BIA andmany more projects are under way in Europe and in the Americas. Once you exceed a few hundred critical users and/or 3- 4 TB of data you should seriously consider SAP BIA Real Experience. Real Advantage. 35
  • 36. [ The Future SAP BI-A RoadMap Prior to 2008 2008 2009/2010 Optimized SAP Accelerator for Analytic Capabilities InfoCube Read BusinessObjects (e.g. top n)NetWeaver Webl integration Times DataStore Object BI Accel- Low Cost of on top of SAP Acceleration erator NetWeaver BI/BIA Operations Standalone BIA for BusinessObjects High source-independent Polestar Availability / acceleration via integration: Self- Backup & Business Objects Service BI based Recovery Agile BI: Local and on search paradigm source-independent innovation space for departments Real Experience. Real Advantage. 36
  • 37. [ Agenda  Introduction  Pacific Gas & Electric Project Overview  What is SAP BI-A  Overview  Building aggregates  Benefits  How we implemented BI-A  Sizing the environment  Team organization and project plan  Testing  BI-A Limitations  PG&E - Our top-10 Lessons Learned  Wrap-up  Question and Answers Real Experience. Real Advantage. 37
  • 38. [ Key Learnings BI-A is a useful tool for performance tuning, but it is not a ‘solve-all’ solution for poorly made queries It was easy to implement (very quick) Look at how your queries are executing (i.e. database or application server usage) when estimating benefits of implementing BI-A Once you exceed a few hundred critical users and/or 3-4 TB of data you should seriously consider SAP BIA The administration of BI-A is simple and anyone can learn it in a few days Plan on waiting for hardware, we found that most was made-to-order Make sure you have redundancies and check that what you order is what got shipped. Real Experience. Real Advantage. 38
  • 39. [ Resources Dr. Bjarne Bergs web page -- 85+ presentations, tutorials & articles http://csc-studentweb.lrc.edu/swp/Berg/BB_index_main.htmLarge scale testing of SAP BI Accelerator on a NetWeaver Platformhttps://www.sdn.sap.com/irj/sdn/go/portal/prtroot/docs/library/uuid/b00e7bb5-3add-2a10-3890-e8582df5c70f Real Experience. Real Advantage. 39
  • 40. [ Questions and Answers How to contact us: Dr. Bjarne Berg Darin Lemos bberg@comerit.net D4JLY@pge.com Real Experience. Real Advantage. 40
  • 41. [ ]  Thank you for participating. Please remember to complete and return your evaluation form following this session. For ongoing education on this area of focus, visit the Year-Round Community page at www.asug.com/yrc [ SESSION CODE: INSERT SESSION CODE Real Experience. Real Advantage. 41