The Schwan Food Company Develops a Roadmap to

The Schwan Food Company Develops a
Roadmap to Employ Data Warehousing on
Enterprise HANA
[ 6475]
Curt Timmerman Schwan's Shared Services, LLC
Agenda
 Company Overview
 Project Overview
Company Overview
Schwan’s Shared Services, LLC
 Based in Marshall, Minnesota
 Subsidiary of The Schwan Food Company
 Support manufacturing, sales, and distribution of frozen
foods
 Affiliates include:
Schwan’s Home Service, Inc.
Sells frozen food through home delivery services
Schwan’s Food Service, Inc.
Sells frozen food to schools, universities, restaurants & c-stores
Schwan’s Consumer Brands North America, Inc.
Sells frozen food products to retail/grocery stores
Schwan’s Global Supply Chain, Inc.
Manages the manufacturing facilities in the United States
SAP and Schwan’s Shared Services, LLC
 Began implementations in 1994 with MM/PP and FI/CO
 Rollout of additional SAP functionality continues today
 Active Systems and Modules
BI, BOBJ, BP, CO, CRM, DWM, FI, GRC Access
Control, HR, MM, PLM, PM, Portals, PP, PS,
QM, SD, SEM, SRM, XI, WM
HANA
Our Brands
Agenda
Where we are
Where we want to go
How we can get there
Reasons for Change
 Modeling Issues.
Limits to how data can be modeled in BW
 Performance.
Even with BWA on BW
 Flexibility.
Capabilities of HANA calculation views
• Data Visualization.
Issues is BO and BW
Current Landscape
Other
SAP ERP
DS
HANA
Tables
HANA
App
HANA
Model
WEBI
Analysis
SLT/
DXC
Attr / Analytical /
Calculation View
MOBI
Crystal
BW on HANA
SAP BW
Other
Source
BW
ETL
Dashboard
Explorer
DSOs
BPC
BEX
DS
Warehouse
Visualization
8
Journey
 Past EDW Experience
 HANA Pilot
 Development of In-house skillet
Future Landscape
HANA App
SAP
- ERP
- CRM
- Other
SLT/
DXC
Dashboard
WEBI
HANA
Tables
HANA
Model
Analysis
MOBI
Other
Legacy SQL
COTS
Excel
Cloud/SaaS
Other
Source
Crystal
DS
Attr / Analytical /
Calculation View
Explorer
Predictive
Modeling
Enterprise HANA
Warehouse
Visualization
Migration Strategy
Migration off Legacy BW
Sales
2013
FI
2014
Inventory
HR
Misc.
2015
11
Migration Strategy
 Identify high volume and high usage through BW stats
 Identify new capabilities through business problems
and or strategies
 Develop Master Data quality assessment to identify
needs or improvements to be in place before data can
be migrated.
 Consistent Business Rules
Development Challenges


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

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Technology to integrate data into HANA
Skillets for developers
Data Services
Extraction. DS OPN, SLT DXC
HANA modeling
Granular data. When to aggregate
One copy of information
Security Model . Developed vrs New Roles
Reporting on Hierarchy
Internal Sales Pitch
 Build from Success
 Sell to Users
 Identify key business problems and new strategies to
benefit
Strategy








Store data at granular level
De-layer BW
SAP and non-SAP data
Near-real-time/real-time data
“Native” HANA data targets
Non-SAP data; SAP data with simpler ETL (e.g., delta,
business rules)
Complex ETL from SAP for mid-term project needs
Essentials to Success
 COE
 Governance
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SESSION CODE: 6475
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