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
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