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Guest Brand Data Governance Concepts

Data Governance Concepts 2

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Data Governance Concepts

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Page 1: Data Governance Concepts 2

Guest Brand

Data Governance Concepts

Page 2: Data Governance Concepts 2

© SAP AG 2009. All rights reserved. / Page 2

Agenda

Background

Operational Framework Definition

Organizational Transformation

Key Takeaways

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Worldwide sales of over <> in <>

Comprehensive and broadly-based …..

Consists of …..

Operations in …..

Selling products in ….

Company Overview

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Referee Syndrome — data only came into focus when there was problem

Strategic data issues permeated every aspect of our business Post conversion data integrity lost over time

Error reconciliation dominated our data mgmt activities

Data Mgmt resource projections expanding globally

Internal “lessons learned” provided clear warning signs

“How can we get rid of the traditional data clerk role?” Traditional Center of Excellence model dictated hiring more and more resources

Motivational issues resulted in poor data metrics and quality issues

Tactical focus resulted in retention issues

We operated the “classic” Data Governance Model … NONE !!

We knew we needed to change …

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….. but how would we get there???

Redefine the way we ALL looked at data Data needed to be viewed as a strategic global asset Recognize and quantify impacts on both the top and bottom line

Establish a clear vision for global data management Data would become a competitive advantage for AIM, not a growth inhibitor Data ownership would be pushed back to the source — the business Data organization would become stewards — not maintainers — of data

Gain executive-level support for the vision — top down approach

Continually “sell” the benefits — reinforce the vision

Deploy applications and processes that ensure compliance

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2Q ‘05

3Q ‘05

Beyond

1Q ‘05

4Q ‘05

1Q ‘06

2 ‘06

3Q ‘06

Our Approach

Establish clear guidelines for data ownership — empower the business

Deploy a sustainable, agile and achievable operational framework

Select applications and partners that both complemented and reinforced our strategic vision

Redefine the data organization — we had to change the rules!!

Structure

Competencies

Culture

Establish an immediate footprint with the business

Develop a roadmap that allowed us to transition to our end state

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Challenges

Challenge Action

The SAP Project is under way

M&A Activity shifted resources / focus

Established a role on the project teams

Establish structure to ensure compliance

The business was reluctant to change

Locations weren’t motivated to comply

Make it easier for them — simplicity

Top-down approach drives compliance

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Defining an Operational Framework

Regional Data Stewards• Gate-Keeper of Regional Data • Data Mgmt and Modeling• Regional Data Analytics• Drive Global Data Standards

Global Data Management Organization

Global ReportingRepository(BI/EDW)

SAP

SYNC

Trading Partners

Business

Partners

Industry Standards

Global Data Stewards• Gate-Keeper of Global Data • Master Data Strategy• Master Data Architecture• Global Data Synch Activities

non-SAP

Global DataStandardsRepository

MasterData

Maintenance

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Defining the Organization

The Master Data Organizational Model is aligned with strategic objectives

Single reporting structure — global/regional deployment

Global and Regional supporting data design, mgmt and governance

Global data architect

Synchronization Central

Business/LocalData Mgmt

RegionalData Architect

Regional Global Data Architect

Global

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Key Takeaways

Make Data Governance a priority from Day One

Establish organizational roles and responsibilities

Early development of appropriate competencies and skillsets

Employ a Process-Oriented approach to Data Governance

Scenario-based business rules

Task and role-oriented workflow structure

Leverage your data migration and design efforts

Many business rules are identified early in the process

Focus on governance during data design

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Key Takeaways

Quickly establish a lasting footprint for data governance Building early momentum establishes credibility Developing a repository for global standards creates structure Establishing a set of foundational requirements demystifies the vision

Customer

Customer Account Group

Customer Number Ranges

Partner Function

Material

Unit of Measure

Material Type

Material Number Ranges

Material Group

Enterprise

Company Code

Plant

Distribution Channel

Sales Organization

Vendor

Vendor Account Group

Vendor Number

Purchasing Organization

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Key Takeaways

Keep it Simple

Leverage the standard SAP data models

Deploy web-enabled toolsets

Utilize workflow based applications

Constant socialization

Demonstrate alignment with Enterprise initiatives

Find a lever to trigger action and gain executive level support

It’s not only SAP… focus on all your strategic systems

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Thank you!