Experiences of implementing SAP BW on HANA at

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 . 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 communicated that they plan to merge in Q1 of the calendar year 2015. The new company will be named

* 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* 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)

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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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