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Real World Data Governance Philip On, Sr. Director of Marketing, SAP December 20, 2012

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Real World Data Governance

Philip On, Sr. Director of Marketing, SAP December 20, 2012

© 2012 SAP AG. All rights reserved. 2

What Is Information Governance?

Information Governance A discipline that includes people, processes, policies, and metrics for the oversight of enterprise information to improve the business value

High Value Information: Optimized Business Processes Smarter Business Analytics Timely Mergers and Acquisitions Compliance with Laws and Regulations

Process People

Policies & Standards

Metrics

© 2012 SAP AG. All rights reserved. 3

Why is it important to manage your company’s data effectively?

Poor data quality is a primary reason for

40% of all business initiatives failing To achieve their targeted benefits

Gartner, Inc., Measuring the Business Value of Data Quality, October 2011

© 2012 SAP AG. All rights reserved. 4

What can happen if you don’t improve your company’s information governance

of CIOs in regulated industries will lose their jobs for failing to implement the discipline of information governance successfully

By 2016,

20%

Gartner Predicts 2012: Information Governance Programs Gain Traction, Published: 23 November 2011

© 2012 SAP AG. All rights reserved. 5

Is your company investing enough for information governance success?

Through 2016, spending on governing information must increase to five times the current level to be successful

Gartner Predicts 2012: Information Governance Programs Gain Traction, Published: 23 November 2011

© 2012 SAP AG. All rights reserved. 6

Does your company have the right technologies for proper information governance?

Governance, though focused on people and process, requires specific technology to support and enforce its practices — that is, to ensure stewardship

The Emergence of Information Stewardship Applications for Master Data, Published: 11 June 2012

© 2012 SAP AG. All rights reserved. 7

What benefits could your company achieve with better information governance?

Operational Efficiences Smoother business processes Standardized and high quality information Reduced IT costs

Better Business Decisions Enhanced customer service Increased marketing effectivness Increased revenue growth

Risk Reduction Improved accountability Better accuracy and consistency Compliance with internal and external regulations

1. SAP Business Transformation Study, Birmingham City Council; 2. Aberdeen Report, United We Stand, Divided We Fall: the Need for Standardizing and Centralizing Master Data, May 2012; 3. SAP Business Transformation Study, Dabur

© 2012 SAP AG. All rights reserved. 8

What are the top business issues where you need better information governance?

metadata efficiency

legal-hold SFA application-integration

SEC

content-management regulation business-process

SOX business-user roadmap big-data quality audit HANA workflow

shared-services enterprise-standard

traceability compliance

CRM cost organizational-change acquisition analytics

marketing security

strategy

Dodd-Frank FCC

ERP

mul

ti-us

e-te

chno

logy

co

ntro

ls

mig

ratio

n

risk

embe

dded

-UI

breach HCM conversion

© 2012 SAP AG. All rights reserved. 9

So why is information governance so hard?

Insufficient business involvement

Poor information governance inside the business process

Lack of integrated technologies to support the end-to-end needs

© 2012 SAP AG. All rights reserved. 10

SAP Solutions for Information Governance Can help you extend, transform, and know the value of your information

Extend Transform Know

Improve accuracy and efficiency of business processes

Reduce IT operations costs

Improve adherence to regulations

Increase business competitiveness

Reduce risk of project delays or cost overruns

Improve reliability of analytics

Improve quality of data sources

Increase end user productivity

Improve ROI of analytics initiatives

© 2012 SAP AG. All rights reserved. 11

SAP Solutions for Enterprise Information Management Run better with complete and accurate information

Information Lifecycle Management

Before After

A

C

D B

Data Quality Management

Master Data Management

Content Management

Enterprise Modeling

Data Integration

GOVERN

© 2012 SAP AG. All rights reserved. 12

“ ”

Colgate-Palmolive

With SAP enterprise information management solutions, we can profile, govern, and measure our enterprise data more effectively. We utilize packaged and extensible solutions that support our information governance program, automate compliance, and leverage our investments. Jian Ming Se, Associate Director, Colgate-Palmolive Company

© 2012 SAP AG. All rights reserved. 13

Rated as a market Leader in Data Quality, Data Integration, and Enterprise Content Management by Gartner and other leading analyst research firms

Rated by Forrester as Leader in Comprehensive Integration Suites and BPM Suite rated Best Suited for SAP-centric environments by Gartner

SAP Customers, Kraft Foods Inc. and Lexmark International, are winners of Gartner MDM Excellence Awards

Scored Highest in Bloor Research Data Profiling and Discovery Market Report 2012

Rated Number One for Ease of Use & Functionality by Passionned Research ETL Survey Report 2012

SAP Customer, Peachtree Data, Wins Innovation Award by Information Management

Market leadership in Enterprise Information Management Industry recognition and customer success

Copyright © 2012 – Robert S. Seiner – KIK Consulting & Educational Services / TDAN.com 1

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Real World Data Governance Webinar 12: Tools of Data Governance

Part 2 - Developed

Monthly Webinar Series Hosted by Dataversity Robert S. Seiner – KIK Consulting / TDAN.com

December 20, 2012 – 2:00 p.m. EST

Robert S. Seiner KIK Consulting & Educational Services, LLC - KIKconsulting.com

The Data Administration Newsletter, LLC - TDAN.com

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Real-World Data Governance Tools of Data Governance – Abstract

• Tools of data governance come in all shapes and sizes. There are software products and tools on the market that can be used to enable and bring success to Data Governance programs.

• There are templates and tools developed by experience consultants and practitioners that can add value to successful programs.

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Real-World Data Governance Tools of Data Governance – Abstract

• The first of the two webinars focused on purchasable products and criteria for the identification of the need for these products.

• This second of the two-part webinar will share Tools of Data Governance that can be developed and customized internally to meet your company’s needs and add value to your data governance program.

• Join Bob Seiner and DATAVERSITY for the twelfth in a series of monthly webinars titled “Real-World Data Governance” that will focus on sharing knowledge about the Tools of Data Governance – Purchased and Developed.

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Real-World Data Governance Tools of Data Governance – Review & Ahead

• List of 2012 Webinars – Tools to Enable DG – The Role of Meta-Data in DG – Non-Invasive DG: the Practical Approach – Governing Unstructured Data – Data Governance, Big Data & the Cloud – Setting Appropriate Business Expectations – Metadata & DG – MDM & DG – Business Glossaries & DG – BI Governance & the Governance of BI Data – Tools of Data Governance - Purchased &

Developed - Purchased Part 1 – Tools of Data Governance - Purchased &

Developed - Developed Part 2

• List of 2013 Webinars – What is a Data Steward and What Do They Do? – Managing Data and Information as an Asset –

The Governance End Game – Governing Data through Metadata – Comparing World Class Solutions in Data

Governance – Panel of Practitioners Q&A – Governance for Master Data – The Data Governance Road Show from DGIQ

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• Non-Invasive Data Governance™

– The practice of: • applying formal accountability & behavior • through non-invasive roles & responsibilities • to existing and / or new processes • to assure that the definition, production & usage of data • assures regulatory compliance, security, privacy, protection & quality.

– Non-Invasive describes how governance is applied to assure non-threatening management of valuable data assets.

– The goal is to be transparent, supportive, collaborative.

Real-World Data Governance Tools of Data Governance – Definitions

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• What Tools will be covered? Tools associated with … – Formalizing Roles & Responsibilities (Operating Model) – Formalizing Accountability for Data (Common Data Matrix) – Formalizing Processes (Work Flow & Issue Resolution Templates) – Formalizing Awareness (Communications Matrix)

• You Are Going to Have to Address Roles, Accountability, Process and Awareness.

• You May as Well Find a Way to Formally Record the Meta-Data About Those Things!

Real-World Data Governance Tools of Data Governance – Abstract

The National Archives

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Real-World Data Governance Tools of Data Governance – One Picture is Worth 1000 Words

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• Operating Model Tool:

– Definition of Roles, Basis for the Program

– Used to Formalize Roles & Responsibilities, Engage, Communicate

– Data Governance (on some level) is Already Taking Place!

– Be Non-Invasive in Your Approach to Identifying People into Roles

– Covers Executive, Strategic, Tactical, Operational & Support

– Pyramid Structure Has Meaning

– Arrows Have Meaning

Real-World Data Governance Tools of Data Governance – Operating Model

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Operational LevelOperational Data Stewards (existing)

Data Definers, Producers, UsersThese people are presently defining,producing and using data as part of theirjobs. Recording of the Operational DataStewards will be an important enabler ofimproved communications, coordinationand cooperation among stewards.

Tactical LevelData Domain Stewards

Per assigned Subject AreasData Steward Coordinators

One per Business Unit

Strategic LevelData Governance CouncilData Governance Sponsors Groupor Group of similar participation. One person, plusalternate, for each Business Unit represented & IT.Consider financial services & human resources.

Executive LevelData Steering CommitteeSenior-most level knowledge of the program.Leverage existing business structure as possible.If no structure exists, utilize an IT Steering Committeeor an executive founded board or council.

Operational Level - Business Unit Specific

Strategic -Enterprise

Tactical Level - Cross Business Unit

Executive

“Non-Invasive Data Governance”™ Operating Modelof Roles & Responsibilities

Escalation / Approval Path

Copyright © 2009 - Robert S. Seiner - KIK Consulting & Educational Services, LLC - All Rights Reserved

Data G

over

nanc

e Pro

gram

Tea

m (D

GPT)

IT S

ubjec

t Res

ourc

e Exp

erts

Data Governance Program TeamData Governance Team ManagerResponsible for Administering the Program,facilitating use of the Data Governance Council,communicating program components and value to the Organization.Advisory assistance from other levels.

IT Subject Resource ExpertsSystem/Data Resource ExpertsIT Staff including ApplicationDevelopment, Data Design,Security, and other DataResource Management.

Communication

KIK Consulting & Educational Services, LLC

EXISTS EXISTS

EXIS

TS

NEW

LEVERAGE NEW

Real-World Data Governance

Tools of Data Governance – Operating Model

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• What Should Be Included in the Operating Model:

– Details: Who Will Participate / How Many People / What Will They Do / How Much Time

– Activities during Launch of Data Governance

– Activities during Steady State of Data Governance

Real-World Data Governance Tools of Data Governance – Operating Model

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Real-World Data Governance Tools of Data Governance – Operating Model

Operational? Tactical?

Function? Process?

Corporate Stewards? SBU Stewards?

Business SMEs? Data SMEs?

System SMEs?

Two Level? Nine Level?

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Real-World Data Governance Tools of Data Governance – Operating Model

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Real-World Data Governance Tools of Data Governance – Common Data Matrix

• Common Data Matrix Tool:

– Assists in Inventory of Data, Data Stores, Systems, System of Record, …

– Assists in Identifying, Recognizing and Recording Stakeholders of Data

– Assists in Formalizing Accountability for Data and Information

– Record Cross Reference of Domains (Subject Areas) and Potential Stakeholders

– Formally Manage Master Data Categories into Domains & Sub-Domains

– Identify Strategic, Tactical and Operational Stakeholders

– Formally Identify and Engage the Knowledgeable IT Resources

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Real-World Data Governance Tools of Data Governance – Common Data Matrix

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Real-World Data Governance Tools of Data Governance – Common Data Matrix

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Real-World Data Governance Tools of Data Governance – Common Data Matrix

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Real-World Data Governance Tools of Data Governance – Common Data Matrix

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Real-World Data Governance Tools of Data Governance – Work Flow Templates

• Work Flow Templates Tools:

– Assists in Formalizing Processes and Workflows

– Record Cross Reference of Process Steps and Governance Roles

– Formally Identify Accountability for Steps of the Process

– Specify RASCI – Responsible, Accountable, Supportive, Consulted, Informed

– Cross Reference for Methodology, Project, Risk Management, Requests

– Specify Outcomes, Deliverables, Milestones, Timelines, …

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DATA DEFINER DATAPRODUCER

DATA STEWARDCOORDINATOR

DATA GOVERNANCE ACTIVITY MATRIX©

MASTER DATADEVELOPMENT

LIFE CYCLE(MDDLC)

INFORMATIONGATHERING

(DOMAIN, SYSTEM,STEWARDS)

OPERATIONAL DATA STEWARDS

DATA USERDATA DOMAIN

STEWARD(or designee)

DATA DOMAIN / LOB/FUNCTIONAL AREA

ASSESSMENT &REQUIREMENTS

PLANNING &ANALYSIS

SOLUTION DESIGN

SOLUTIONDEVELOPMENT

SOLUTION TESTING

SOLUTIONIMPLEMENTATION

SOLUTIONMONITORING &MAINTENANCE

Activity initiated re: this domain,Data Domain Steward is involvedin identifying and recording inforelated Domains, Systems,Stewards per issue or task.

Activity initiated re: this domain,Steward Coordinator is involved inidentifying Operational Stewardsin this LOB/FA that shouldparticipate in this work flow.Assure appropriate businessmeta-data is recorded.

Propose alternativesfor data definitionsolution that best fitswith definedrequirements.

Provide input to thedevelopment of thedata productionsolution.

Provide definitionrequirements &gathering document.Define data needed tooperate business &report results.

Test data solutionfrom a definitionperspective. Assurethat appropriatebusiness meta-data isrecorded.

Produce userrequirements. Usedata needed tooperate business &report results.

Coordinate activities ofOperational Stewards includingproject timelines, status reporting,tactical decision making. Assureappropriate business meta-data isrecorded.

Provide datadefinition guidance tobuild the appropriatesolution.

Provide data usageguidance to build theappropriate solution.

Coordinate tasks associatedconducting planning and analysissteps.

Propose alternativesfor data productionthat best fits with thedata definitionsolution and definedrequirements.

Propose alternativesfor data usagesolution that best fitswith definedrequirements.

Coordinate tasks associatedconducting planning and analysissteps. Accept or Resolve solutionfrom the Steward Coordinator.

Coordinate activities of allindividuals related to developmentwork including timelines, status,tactical decision making.

SYSTEM SMEs

IT

DATA SMEs

Test data solutionfrom a productionperspective. Assurethat appropriatebusiness meta-data isrecorded.

Test data solutionfrom a usageperspective. Assurethat appropriatebusiness meta-data isrecorded.

Coordinate activities of theOperational Stewards related totesting work including timelines,status, tactical decision making.

Coordinate activities of theOperational Stewards related tosolution implementation includingtimelines, status, tactical decisionmaking.

Coordinate activities of theOperational Stewards related tosolution monitoring &maintenance including timelines,status, tactical decision making.

Perform EIS system testing.Assure that appropriate technicalmeta-data is recorded.

Perform EIS data testing. Assurethat appropriate technical meta-data is recorded.

Coordinate and manage alltechnical aspects of data solutiondevelopment. Assure thatappropriate technical meta-data isrecorded.

Coordinate and manage alltechnical aspects of systemsolution development. Assurethat appropriate technical meta-data is recorded.

Coordinate system design withData Domain Stewards andSteward Coordinators.

Coordinate data design with DataDomain Stewards and StewardCoordinators.

Coordinate and manage alltechnical aspects of systemplanning and analysis with DataDomain Stewards and StewardCoordinators.

Coordinate and manage alltechnical aspects of data planningand analysis with Data DomainStewards and StewardCoordinators.

Coordinate and manage alltechnical aspects of systemassessment & requirementsgathering with Data DomainStewards and StewardCoordinators.

Coordinate and manage alltechnical aspects of dataassessment & requirementsgathering with Data DomainStewards and StewardCoordinators.

Coordinate and manage alltechnical aspects of datainformation gathering with DataDomain Stewards and StewardCoordinators. Assure appropriatetechnical meta-data is recorded.

Coordinate and manage alltechnical aspects of systeminformation gathering with DataDomain Stewards and StewardCoordinators. Assure appropriatetechnical meta-data is recorded.

Participate in datadefinition informationgathering as needed.

Participate in dataproductioninformation gatheringas needed.

Participate in datausage informationgathering as needed.

Coordinate and manage alltechnical aspects of systemsolution implementation.

Coordinate and manage alltechnical aspects of systemsolution monitoring &maintenance.

Coordinate and manage alltechnical aspects of data solutionimplementation.

Coordinate and manage alltechnical aspects of data solutionmonitoring & maintenance.

Coordinate business tasksassociated with solution testingsteps.

Coordinate business tasksassociated with solutionimplementation.

Coordinate business tasksassociated with solutionmonitoring & maintenance.

As part of daily job,identify operationdata issues pertainingto their domain ofdata.

As part of daily job,identify operationdata issues pertainingto their domain ofdata.

As part of daily job,identify operationdata issues pertainingto their domain ofdata.

Real-World Data Governance Tools of Data Governance – Work Flow Templates

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Real-World Data Governance Tools of Data Governance – Work Flow Templates

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Real-World Data Governance Tools of Data Governance – Work Flow Templates

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Real-World Data Governance Tools of Data Governance – Issue Resolution Templates

• Issue Resolution Templates Tools:

– Assists in Formalizing Processes and Workflows

– Record Cross Reference of Issue Resolution Steps and Governance Roles

– Formally Identify Accountability for Steps of the Process

– Specify RASCI – Responsible, Accountable, Supportive, Consulted, Informed

– Cross Reference for Specific Activities to Resolve Data Issues

– Specify Outcomes, Deliverables, Milestones, Timelines, to Resolve Issue

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Real-World Data Governance Tools of Data Governance – Issue Resolution Templates

• Data Quality Methodology – Qualify & Prioritize Data Issue – Identify Affected Data Domain – Identify Affected Data Stewards – Conduct Data Systems & Data Resource Discovery – Conduct Root Cause Analysis – Conduct Cost-Benefit Analysis – Analyze & Recommend Resolution – Gain Approval, Funding, Resources – Resolve Data Issue

• Cross Reference DQ Methodology & Resources – Who does What and When?

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Real-World Data Governance Tools of Data Governance – Issue Resolution Templates

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Real-World Data Governance Tools of Data Governance – Issue Resolution Templates

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Real-World Data Governance Tools of Data Governance – Communications Matrix

• Communications Matrix Tool:

– Assists in Formalizing Communications & Awareness Required Content

– Record Cross Reference of Content and Governance Roles

– Formally Identify Communications & Awareness Checklist

– Identify Audience, Content, Message, Media, Timing, …

– Message and Delivery May / Will be Different Depending on Audience

– Specify When / If Refreshes are Necessary

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Real-World Data Governance Tools of Data Governance – Communications Matrix

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AUTHORATATIVE COREGROUP

(STRATEGIC LEVEL)

COMMISSIONER,CHANCELLORS &

DEPUTY COMMISSIONERS(EXECUTIVE LEVEL)

Florida Department of EducationInformation Governance Communications Plan Matrix

INFORMATIONGOVERNANCEINTRODUCTION

TECHNOLOGY GOVERNANCE COMMITTEE

(SUPPORT LEVEL)

DATA GOVERNANCEINTRODUCTION& VALUE ADD

AUTHORITATIVECORE GROUPINFORMATION

DATA GOVERNANCEROLE-BASED ACTIVITY

TRAINING

DATA GOVERNANCEALERTS &

TRIGGERED EVENTS

INFORMATION GOVERNANCE

POLICY

DATA GOVERNANCEMETRICS &

MEASUREMENTS

INFORMATION GOVERNANCE

DOCUMENTATION TOOLS

INFORMATION GOVERNANCE TEAM

(SUPPORT LEVEL)

OTIS & ARM DEPARTMENT & POLICY DIVISIONS

PROGRAM DIRECTORS,DATA DIRECTORS,

STEWARD COORDINATORS(TACTICAL LEVEL)

POLICY STEWARDSDATA STEWARDS

SYSTEM STEWARDS(OPERATIONAL LEVEL)

FLDOE

Developed by KIK Consulting for internal use only at FLDOE. Last Updated 02-12-2010

Real-World Data Governance Tools of Data Governance – Communications Matrix

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Real-World Data Governance Tools of Data Governance – Review

• Tools Can Be Internally Developed

– Formalize Roles & Responsibilities

– Formalize Accountability for Data and Information

– Formalize Processes Associated with Governing Data

– Formalize Awareness of Data Governance Activities

– Use Tools as a Component of a Successful Governance Program

– Formalize How This Meta-Data is Recorded and Made Available

– Tools Become the “Face” of Your Data Governance Program

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Wrap Up & Discussion

• Final Summary – Real-World Data Governance – Tools of Data Governance – Thank You for Attending this Webinar

• Real-World Data Governance – Scheduled Webinars January 17: What is a Data Steward and What Do They Do? February 21: Managing Data and Information as an Asset – Governance End Game March 21: Governing Data through Metadata Visit Dataversity.Com for More Information

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Merry Christmas & Happy New Year!

Robert S. Seiner KIK Consulting & Educational Services – KIKconsulting.com The Data Administration Newsletter - TDAN.com Post Office Box 112571, Pittsburgh, Pennsylvania 15241 412.220.9643, 412.220.9644 (Fax) [email protected], [email protected]

Wrap Up & Discussion