Schwan Food Company s Journey with SAP HANA

Transcription

1 Speakers: Schwan Food Company s Journey with SAP HANA May 14, 2013 From Vision of SAP HANA to EDW on SAP HANA Al Grube Enterprise Information Architect The Schwan Food Company Al.Grube@schwans.com Mark Albers Vice President, SAP Practice HANA CoE Lead, Hitachi Consulting Mark.Albers@hitachiconsulting.com Better

2 Agenda Part 1 Introduction Schwan Food Company Journey to SAP HANA to date Part 2 Q & A Lessons Learned How to get started 2

3 The Hitachi Difference Hitachi Breadth of Services for SAP HANA 3 Strategy Roadmap Value Analysis Proof-of-Value ( Life in Five ) Investment Strategy Converged Platform Hardware Software Storage Services SAP HANA Platform Sizing Configuration Scaling Implement Accelerators Rapid Deployment Solutions SAP and Hitachi Accelerators Best Practices and Standards Solutions Demand Signal Management SAP NetWeaver BW on SAP HANA Integrated Planning/BPC Services Managed Services Hosting Cloud Services Equipping Custom HANA Marts / EDW Hitachi is equipped to support every aspect of a solution with SAP HANA. We are one of the very few SAP partners who can provide this level of support. 3

4 Schwan Food Company 4

5 Starting Point of the Journey to SAP HANA Platform: SAP NetWeaver BW, SAP NetWeaver BW Accelerator, and SQL Server data warehouse, SAP BusinessObjects XI 3 Time-to-market challenges Lack of flexibility Performance challenges Increasing data volumes More and more data sources High TCO Data redundancies Data management challenges (master data, quality) 5

6 Early 2012: Develop Vision Developed Business Intelligence Vision powered by SAP HANA Identified a business executive with a vision and strategy requiring new and improved capabilities Develop jointly the business case and project scope to proof the value 6

7 7 Mid 2012: SAP HANA Live in Five Pilot Schwan Foods selected Hitachi as their partner for SAP HANA and adopted the Hitachi Live in Five methodology for SAP HANA: Develop Key Use Cases Define Business and IT Metrics Define the Scope Develop Solution jointly Share Knowledge and Educate Measure Business and IT value Assess Results Decide on investment in SAP HANA based on business case Hitachi Live in Five : Make the business case for SAP HANA and proof in a short amount of time and without any upfront investment in HW or SW the business and IT value

8 SAP HANA Life in Five Pilot: Needs and Challenges Lacking access to analytics that could be used to influence decisionmakers at the stores Field Sales forced to rely on personal knowledge of stores, rather than on data-driven analytics, to make merchandising decisions Difficult to track stock-outs at stores Difficulty in integration of disparate data sets and rapid analytics across those data sets Rapid time to market needed to address evolving business needs for data and analytics Increased reporting performance needed against larger volumes of data Goal: Align merchandising decisions with historical results to help optimize shelf-space 8

9 SAP HANA Live in Five Pilot: Use Cases Goal: Align merchandising decisions with historical results to help optimize shelf-space Void analytics Identify stores that have received shipments but there have been no scanned data for an item or vice versa along with looking at historical data to determine where we have traditionally had shipments and/or scans but are not seeing any shipments or scans to date. Leveraging internal SAP software shipment data and AC Nielsen POS data New item execution analytics Business to identify accounts that are in need of additional resources to meet the needed deadline of 4 weeks from reset date to initial sale date Leveraging New Distribution Form data, shipments, ISD (shelf & tagged), and AC Nielsen POS data Displays drive revenue Analytics Business to identify if displays drive revenue by analyzing our baseline, lift, display details, and price point Leveraging master data of SAP NetWeaver BW, AC Nielsen data, and ISD/Quofore data 9

10 Universe SAP HANA Live in Five Pilot: Solution Architecture Data Sources Data Integration In-Memory Computing Reporting and Analytics Information Access Sales / Shipment data (SAP) SAP Data Services 4.0 Hitachi Appliance and SAP HANA SAP BusinessObjects BI 4 Platform POS files (AC Nielsen) Laptop Material data & hierarchies (SAP) Ad-hoc reporting* Customer data & hierarchies (SAP) Appointment and Call data (ISD/QuoFore) SAP Data Services ETL Data Flows Physical Tables of SAP HANA Logical Views of SAP HANA Discovery & Visualization (Explorer) ipad TDLinx (spreadsheets) New distribution (Sharepoint) Account mapping (spreadsheets) 10

11 SAP HANA Life in Five Pilot: Results Automated the manual, labor-intensive data-gathering processes enabling business analysts to actually analyze data, create new insights, and provide recommendations to the field sales team to impact key business metrics Void analysis showed improvements based on recommendations provided: Root cause analysis provided hard numbers that describe issues store-by-store and SKU-by-SKU Increased revenues by ensuring that stores have a good product mix, needed back stock is available, SKU's have distribution points at the retail stores Business acceptance and buy-in Rapid time to market for new business analytics - developed BI solution on SAP HANA faster than using traditional BW technologies Sample Project Metrics 7 Data Sources including AC Nielson Sales Data: 100m rows Load: 2-4M rows per min Query: long 5 sec s, avg sub second Time to Market: 5 weeks Enhanced flexibility in making changes to the solution based on user feedback Very high performance data loads Very high reporting, analysis and ipad Explorer performance Schwan s IT team built their first hands-on experiences of SAP HANA 11

12 Late 2012, Early 2013: Journey to SAP HANA continued Business Case and investment approved by the Board Purchase of SAP HANA Getting ready for EDW implementation Finalized Strategy and Roadmap for SAP HANA Implemented Infrastructure of SAP HANA Finalized Projects Funding model (business/it shared) for SAP HANA Developed EDW Governance for SAP HANA (project prioritization process) Developed EDW Foundation for SAP HANA, Standards and Practices leveraging Hitachi Consulting Standards and Best Practices for SAP HANA Data architecture, data model, and naming standards of EDW on SAP HANA Data integration architecture, tools, and standards (Data Services, SLT, DXC) Security, Life Cycle Management, Execute EDW Release 1 Scope driven by Payment Analytics business project Plan for next releases of EDW on SAP HANA Scope driven by business priorities 12

13 Thank You! Questions? Lessons Learned? How can you get started? We are available right after this session Or stop by any time at Hitachi Booth 754 Interested in more client stories of SAP HANA? SPEAKERS TITLE DATE CONTENT AREA Shawn Duffy Cindy LaChey-Tribune Kaush Murali Amber Woods-Tyson Tribune Company Uses SAP HANA to Increase Ad Sales Revenue SAP HANA Enabled BI Transformation at Tyson Foods Wednesday, May 15: 3:00-3:20 Thursday, May 16, 3:00-3:45 SESSI ON CODE Demo Theatre in Partner Center 7408 Microforum in Partner Center N/A Al Grube Enterprise Information Architect The Schwan Food Company Mark Albers Vice President, SAP Practice HANA CoE Lead, Hitachi Consulting

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