Q+A with Andy Hornby
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Experiences of implementing SAP BW on HANA at Boots Experiences of implementing SAP BW on HANA at Boots UK 1 Phil Creek and Jamie Flaxman SAP centre of expertise Boots UK Experiences of implementing SAP BW on HANA at Boots UK 24 November 2014 No elements of this document may be reproduced in any form without the written permission of Alliance Boots. All trademarks and registered trademarks are the property of their respective owners. 2 Who we are… Phil Creek Jamie Flaxman Manager Business SAP Solution Analysis Architect MI & Loyalty 3 Alliance Boots • Presence in more than 27* countries • Over 120,000* employees • 4,600* health and beauty retail stores – of which just under 4,450* have a pharmacy • Operating more than 370* pharmaceutical wholesale distribution centres • Dispensing over 300* million items each year • In 2012, Alliance Boots announced that it had entered into a strategic partnership with Walgreen Co., the largest drugstore chain in the US • In August 2014, Alliance Boots and Walgreens communicated that they plan to merge in Q1 of the calendar year 2015. The new company will be named Walgreens Boots Alliance * Figures are approximations as at 31 March 2014, with the addition of Farmacias Ahumada data at the date of its acquisition on 11 August 2014, and include associates and joint ventures. 4 Health & Beauty – UK • 2,487* stores, 600* Boots Opticians practices, 430* Boots Hearingcare locations • 16* doctors’ surgeries located in store • 90%* of population within a 10 minute drive of a Boots store • Growing omni-channel offer, boots.com revenue increased by 30%* • c.60,000* Boots UK colleagues with around 6,500* pharmacists • 17.8m* Boots Advantage Card members • 3.5m* visits a month to BootsWebMD.com * Figures are approximations as at 31 March 2014 5 SAP BW at Boots UK BW7.1 BW7.3 (40TB) (8TB) Web Bex Bex Analysis application analyser analyser for office designer BOBJ (4.0) Webi BI BO mobile launchpad 6 Drivers of change Remove batch Reduce run costs Add system capacity limitations Faster, cheaper Real-time reporting change 7 Reallocate failover blades Remove data Purchase reduce data second hand growth blades The options Invest in HANA Invest in more technology with BWA capacity NLS Invest in HANA technology 8 Options analysis Capacity Strategic Service investment Real time Base cost reporting Modelling Batch schedule complexity DevelopmentDevelopment cost 9 Options analysis 1. Remove data 2. Reallocate the 3. Purchase 4. Invest in more 5. Invest in Hana technology 6. Invest in Hana technology from BWA and failover cluster additional BWA capacity with Sybase Overflow database throttle back to live second hand data growth blades Satisfies projected X √ √ √ √ √ capacity growth No change Should meet Should meet Should meet short- Meets the projected two years of Meets the projected two years of short-term short-term term capacity future data growth and will also future data growth and will also capacity targets. capacity targets. targets. Not be scalable to meet the demands be scalable to meet the demands Not scalable for Not scalable for scalable. of future projects of future projects using cheaper future growth future growth. storage. Impact on system SLA X X X √ √ X Faster recovery of data Faster recovery of data No change ↓ failover ↓ SLA as 2nd No change removed hand blades not supported Impact on base cost X X X X √ Net saving √ Net saving No change ↑ Higher licensing ↑ Higher licensing ↑ Higher licensing ↑ Higher licensing ↑ Higher licensing ↓ Support Costs ↓ Support Costs Reduce system X X X X √ √ modelling complexity No change No change No change No change Complexity reduced Complexity reduced Faster, cheaper delivery X X X X √ √ of change No change No change No change No change Simplified architecture, less data Simplified architecture, less data objects, reducing design, build objects, reducing design, build and testing costs and timescales. and testing costs and timescales. Batch schedule X X X X √ √ limitations reduced No change No change No change No change Enhanced loading capability Enhanced loading capability speeds up batch processing, speeds up batch processing, provides opportunity to move to a provides opportunity to move to a more real-time update process more real-time update process reducing the dependency on reducing the dependency on overnight batch. overnight batch. Solution set-up to X X X X √ √ support real-time No change No change No change No change Provides a stable robust platform Provides a stable robust platform reporting for real-time reporting. for real-time reporting. Strategic investment X X X X √ √ BWA mainstream BWA mainstream BWA Not aligned with Aligns SAP’s EDW Strategy. Aligns SAP’s EDW Strategy . support ends Dec support ends Dec mainstream SAP’s EDW strategy. Option to add Sysbase NLS NLS can be used rather than 2015. 2015. support ends could be delivered later as holding all data in HANA Dec 2015. additional investment. appliance. 10 Option chosen The plan Month 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 BW data model change freeze Apply SP9 BW on HANA go live Mobilise NLS go live Design H/W HANA NLS install migrations Data model consolidation 11 Infrastructure Blades • Production = 9 x 512 GB • Pre-production = 8 x 512 GB • QA = 1 x 512 GB • Dev = 1 x 512 GB 12 What actually happened Mobilisation and pre- Hardware and database requisites migration Go-live Results 13 Key lessons learnt Mobilisation Cutover Hardware Business Testing engagement Change freeze Migration Optimisation 14 The future Data model consolidation Near line storage Real-time reporting Further exploitation 15 Thank you for listening Do you have any questions? 16 Contact details Phil Creek E-mail: [email protected] Tel: 0115 968 7282 Jamie Flaxman E-mail: [email protected] Tel: 0115 968 7028 17.