data governance & stewardship

EWSolutions

Strategic Partner & Systems Integrator

Intelligent Business Intelligencesm

www.EWSolutions.com

Contact us at [email protected] © 2014 Enterprise Warehousing Solutions, Inc. (EWSolutions) – 1

Data Governance &

Stewardship By David Marco

President

EWSolutions



www.EWSolutions.com


Strategic Partner & Systems

Integrator Intelligent Business Intelligencesm

EWSolutions’ Background

EWSolutions is a Chicago-headquartered strategic partner and full life-cycle systems

integrator providing both award winning strategic consulting and full-service

implementation services. This combination affords our clients a full range of services

for any size enterprise information management, meta data management, data

governance and data warehouse/business intelligence initiative. Our notable client

projects have been featured in the Chicago Tribune, Federal Computer Weekly, Journal

of the American Medical Informatics Association (JAMIA), Crain’s Chicago Business,

and won the 2004 Intelligent Enterprise’s RealWare award, 2007 Excellence in

Information Integrity Award nomination and DM Review’s 2005 World Class Solutions

award.

For more information on our Strategic Consulting Services, Implementation Services,

or World-Class Training, email us at [email protected] or call at 630.920.0005

Best Business Intelligence Application

Information Integration

Client: Department of Defense

World Class

Solutions Award

Data Management

2007 Excellence in Information

Integrity Award Nomination

http://www.ewsolutions.com/news-events/news-press-releases/press_release.2005-10-03.9140171518



www.EWSolutions.com


EWSolutions’ Partial Client List

For more information on our Strategic Consulting Services,

Implementation Services, or World-Class Training email us at

[email protected]

AFLAC Arizona Supreme Court

Bank of Montreal BankUnited

Basic American Foods Becton, Dickinson and Company

Blue Cross Blue Shield companies

Booz Allen Hamilton Branch Banking & Trust (BB&T)

British Petroleum (BP) California DMV

California State Fund

Canadian National Railway Capella University

Cigna College Board

Comcast Corning Cable Systems

Countrywide Financial

Defense Logistics Agency (DLA) Delta Dental

Department of Defense (DoD) Driehaus Capital Management

Eli Lilly and Company

Environment Protection Agency Farmers Insurance Group

Federal Aviation Administration Federal Bureau of Investigation (FBI)

Fidelity Information Services Ford Motor Company

GlaxoSmithKline Harbor Funds

Harris Bank

The Hartford Harvard Pilgrim HealthCare

Health Care Services Corporation Hewitt Associates

HP (Hewlett-Packard)

Information Resources Inc. International Paper

Janus Mutual Funds Johnson Controls

Key Bank LiquidNet

Loyola Medical Center

Manulife Financial Mayo Clinic

McDonalds Microsoft

MoneyGram

NASA National City Bank

Nationwide Neighborhood Health Plan

NORC

Physicians Mutual Insurance Pillsbury

Quintiles Sallie Mae

Schneider National Secretary of Defense/Logistics

Singapore Defense Science & Technology Agency

Social Security Administration South Orange County Community College

SunTrust Bank Target Corporation

The Regence Group

Thomson Multimedia (RCA) United Health Group

United Nations United States Air Force

United States Army United States Department of State

United States Navy

United States Transportation Command University of Michigan

University of Wisconsin Health USAA

US Cellular

Waste Management Wells Fargo

Wisconsin Department of Transportation Zurich Cantonal Bank



www.EWSolutions.com




David Marco – Professional Profile

Best known as the world’s foremost authority on meta data management and the father of the Managed Meta Data Environment, he is an internationally recognized expert in the fields of data governance, big data, data warehousing, master data management and enterprise information management (Data Management). In 2004 David Marco was named the “Melvil Dewey of Metadata” by Crain’s Chicago Business as he was selected to their very prestigious “Top 40 Under 40” list. David Marco has authored several books including the widely acclaimed “Universal Meta Data Models” (Wiley, 2004) and the classic “Building and Managing the Meta Data Repository: A Full Life-Cycle Guide” (Wiley, 2000).

2014 EWSolutions was inducted into the Hinsdale business Hall-of-Fame after 6 consecutive years of receiving “Best of” awards in Enterprise Information Management

Selected to the prestigious 2004 Crain’s Chicago Business “Top 40 Under 40”

2008 DAMA Data Management Hall of Fame (Professional Achievement Award)

2007 DePaul University named him one of their “Top 14 Alumni Under 40”

Presented hundreds of keynotes/seminars across four continents

Published hundreds of articles on information technology

Author of several best selling information technology books

Taught at the University of Chicago and DePaul University

Holds both a CDMP and a CBIP certification

Email: [email protected]



www.EWSolutions.com


Agenda

Enterprise Information Management’s (EIM)

Role in Data Governance

Data Governance Return on Investment

(ROI)

Introduction to Data Governance

Introduction to Data Stewardship

Data Governance Framework

Top 10 Reasons for Failure



www.EWSolutions.com


Your Data Governance Program

No two governance and stewardship

programs are the same – each is unique

Adopt as many of the best practices

presented here as possible

Tailor them to your organization, recognize

the uniqueness in the nuances of your

program while keeping the direction of your

governance approach true

The best approaches to governance

maintain the enterprise focus while

implementing iteratively



www.EWSolutions.com


Data Governance

Background &

Fundamentals



www.EWSolutions.com


Data Governance Defined

Data Governance: defines the people, processes, framework and organization necessary to ensure that an organization’s information assets (data and meta data) are formally, properly, proactively and efficiently managed throughout the enterprise to secure its trust, accountability, meaning and accuracy



www.EWSolutions.com


Meta Data vs. Data

Meta Data: Meta data contains the knowledge that a 1) field is called “Customer_Name”, is 40 characters in length, and exists in systems A, B, and C; 2) that our company has 3 systems which contain customer master data. These systems are…

Data: Data would be a specific instance of “Customer_Name” equaling “John Doe”

Information: Data that is meaningful to a business user. They understand it and they know what to do with it



www.EWSolutions.com


Data Governance Fundamentals

(content) (context)



www.EWSolutions.com



Enterprise Information Management (EIM): The systematic processes and governance procedures for applications, processes, data, and technology at a holistic enterprise perspective

The purpose of enterprise information management is to bring enterprise order, purpose, structure, efficiency, and performance to applications, processes, data, meta data and technology

EIM is not a single technology or component, but a coordinated framework of disciplines for managing data, meta data and information assets throughout the organization

Data Does Not Manage Itself!!



www.EWSolutions.com


What Does All This Have To Do

With Data Governance?



www.EWSolutions.com



Let’s look at the definition for EIM again:

Enterprise Information Management (EIM): The systematic processes and governance procedures for applications, processes, data, and technology at a holistic enterprise perspective

EIM is not a single technology or component, but a coordinated framework of disciplines for managing data, meta data and information assets throughout the organization

EIM is impossible to accomplish without data governance



www.EWSolutions.com




DAMA DMBOK

www.EWSolutions.com


Strategic Partner & Systems Integrator Intelligent Business Intelligencesm

EIM Knowledge Areas

Data Management is

the foundation for all

of the other EIM

focus areas.

Regardless of which

focus area you target

first, you will need to

do Data

Management

Data Management

Enterprise

Information Management

Da

ta A

rch

ite

ctu

re

Pro

cess M

anagem

ent

Info

rma

tio

n Q

ua

lity

IT P

ort

folio

Ma

na

ge

me

nt

Ma

ste

r D

ata

Ma

na

ge

me

nt

Info

rmation D

eliv

ery

Info

rmation S

ecurity

Data Governance Meta Data Management



www.EWSolutions.com


Common Data Governance Activities

Common Data Governance Activities/Goals

Data identification and definition

Effective use of meta data

Data quality metrics definitions and rules

Brings order, purpose, form, efficiency, performance

The capture, store, protect and ensure the integrity of the information assets

Many others!!



www.EWSolutions.com


How Do You Manage Information Assets?

You cannot manage what you do not measure

You cannot measure what you do not understand

You do not understand…….

This is all Data

Governance



www.EWSolutions.com


Data Governance ROI



www.EWSolutions.com


Current State of Data Governance

EIM goes by many names: Data Governance

Data Stewardship

Data Management

Enterprise Data Management

Centers of Excellence

Information Management

Information Asset Management

I don’t care which name you use as long as you do it successfully

Many companies are now pursuing this activity at an enterprise level

Almost all companies are doing some level of data governance; however, the majority do it piecemeal



www.EWSolutions.com


What Does One Process Look

Like for a Large Company?



www.EWSolutions.com


Fortune 100 – One Process

ST

O

Sa les Req u e s t

We

b/

Em

ail/

Fa

x

We

b/

Em

ail/

Fa

xW

eb

/E

ma

il/F

ax

W eb / Em a il/ FaxW eb / Em a il/ Fax

Sa les Req u e s t

We

b/

Em

ail/

Fa

xW

eb

/E

ma

il/F

ax

We

b/

Em

ail/

Fa

x

We

b/

Em

ail/

Fa

x

W eb / EDIW eb / EDI

Te le/ W eb

Te le/ W eb

Kio

sk

O

rd

er

Kio

sk

O

rd

er

Kio

sk

O

rd

er

Te

le/

We

b

EDI O r d e r

Kio sk O r d e r

We

b/

ED

I

We

b/

ED

ISa

les

R

eq

ue

st

Sa

les

R

eq

ue

st

Sa

les

R

eq

ue

st

Sa

les

R

eq

ue

st

IP

S

On

ly

I PS O nly

CT

O

pr

od

uc

ts

We

b/

Em

ail/

Fa

x

Te

le/

We

b

ePrime - HP

Global Biz Link

(Ext ranet s) -

NA - CPQ

Cat alogPr ocur em ent -CG BX - NA -

CPQ

Vendor

eM ar ket

Place -

CPQ

Fast - Web& Pt nrPr ime -CPQ

B2B I nteg

SVR / CEI 's

Web Svr -

CPQ

Buysit e

& Market

Sit e. com

Biz-St ore

- HP

Kiosk -

CPQ

Kiosk -

HP

SAP 3. 1 - EPH -

OM - CPQ

SAP - Consumer

Direct SV - OM -

HP

Commerci

al

SMB

Ent er pr ises

AGSCQ 3PO

CQ Direct

Fact ory

CQ Alliance

Part ners

Quant a

- HP

SCI

HP 3PO

QMS

-AQS -

NA -

CPSA/ MSS

- CPQ

FOCUS

- CPQ

CDAT -

Rack

Assist ant

Kylor (AA) -

CPQ

Vir t ual SalesRep - HP

EDI

Gat eway -

NA - CPQ

WWOMS US - HP

APOGEE -

St orage - HP

Fremont

Houst on

M1/ M2

Roseville

SCI -

Alabama

Houst on M5

Rack Builder- CPQ

Consumer

s / Micro

Corpor at eRelat ionships

Commercial

Resellers

Agent s

Richmond

Supplies

Complet ion

& DC

Woodland I J

Complet ion

& Supplies

DC

Memphis I J

Complet ion

& Supplies

DC

Sandst on

LJ Comp. &

Supplies

DC

Ont ar io LJ

Complet ion

& Supplies

DC

Tijuana LJ

Complet ion

& Supplies

DC

CPQ Print er

Suppliers

CPQ Project or

Supplier

OHL

Memphi

s DC

Hear t - HP

Sales For ce

Tech Dat a

I ngram Micro

Vista - Fulf illment - CPQ

Vista - OM - CPQ

SAP - Replenishment D7 - OM - HP

SAP - Replenishment D7 - Fulf illment - HP

SAP - Fusion - NA

- Fulf illment - HP

SAP - Fusion - NA - OM -

HP

SAP 3. 1 -

EPH -

Fulf illment -

CPQ

Retailer

HP ShoppingFinancialI nst it ut ion

Menlo

Logist ics

Tatung

I r ish

Express

RyderVent ure

MSL

Genco

Power

Packaging

Compal

- HP

SAP - HPS

- NA -

Upf ront -

Ast ro -

NA -

HP

Fireman

- NA -

SCA - NA

- HP

I TRC - SUM - NA- HP

SAP - HPS - NA -

OM - HP

SAP - HPS - NA -

OM Finance - HP

SAP - HPS - NA -

Vir t ual Sourcing -

HP

Field

Adm in

PM Tools

- HP

Par t s Repair

Cust om er s

and Par t ner s

Tiger -NA - HP

TI M -

HP

SW Depot -

Shopping - HP

Legacy OM

- Finance -

HP

Legacy Par t s -

OM - HP

Legacy Par t s -

SC - HP

SAP - HPFO

- NA - HP

APOGEE/ SHIP

US - Services -

HP

HPFO Legacy

SAP -I PC D7 -

Channel

LinksDescar t es

DAC

Compucom

WWOMS

Canada - HP

WW CISYS -

HPSAP -

XRS -

SAP - XRS -

Mat l - HP

SAP -XRS - I PC

- HP

Ryder

MM300

0 - HP

Business

PC,

Ser ver s,Consum

er Call

Cent er -

LJ Call

Cent er -

US

GEM

GEMS -

NA -

CPQ

CAFE -CPQ

CEI 's

O m aha

Call Cent er ,

or Lit t let on

eCAT - CPQ

Wat son -

HP

SBW

- HP

Quick

Quot e -e- St or e -Canada -

HP

SAP -

CaLado -

OM - HP

BusinessAdvant age -

CPQ

SAP - CaLado -

Fulf illment - HP

Fact ory

Out let -

SW

Depot -

OM - HP

SW Depot -Fulf illm ent -

HP

SAP -

Consumer

Direct SV -

Fulf illment -

HP

Compucom -

OM

Conrad - HPSyst em

T - CPQ

Earl -

HP

SAP -

Consumer

Direct SV -

Finance - HP

CPQ

Financial

Services

CyberS

Hit achiSymnex

Daisy Tech

Af f iliat es

ACS -

CPQ

LSO -

HP

OLS -

Cham eleon -CPQ

M icr osof t

Call Cent er s -

Rockville,

Roseville,

Cuper t ino,

O nt ar io

Vista -

Finance -

CPQ

Product

Advisor

Comm.

Resellers

DAC

Fulf illment

eTracking -

EDR -

CPQ

Q-runFI C

G am e DB -CPQ

Act ive

Answers

Cybrant

- HP

CPL -

Pr od. &

Pr ice

VI SA -CPQ

G PSYCPL -

HP

Golden

Eggs -

CPQ

I CON -

HP

OSS - HP

WWSNRS -

CPQ

Cust omer

Advant age

Direct Plus -

CPQ

Cust omer

Advant age

eProcurement -

CPQ

Cust omerAdvant ageExt r anet s -

CPQ

NCAS- NA -CPQ

NCAS -

Q L -

CPQ

CCSU

Eclipse -HP

PPS -CPQ

Les

W eb -

CPQCO PE/ BET

Clear

Cont ract -

CPQ

Prophecy -

SBS -Pear s - NA

- CPQ

SI S -

CPQ

SRS -CPQ

FO CUS( 252) -CPQ

ASM -

CPQ

CPN -CPQ

CSN -NA -CPQ

eFLS -CPQRMS -

CPQ

O RS -CPQ

Pr imus- NA -CPQ

Com paq

Dir ect

Suppor t

Pr icing

Tool -

CCDB - NA -

HP

Aurora Mgr -

NA - HP

Plato -

NA - HPO M Ser ver- NA - HP

AUE -

NA - HP

SWAT - HP

ePar t s

ePO - NA

- HP

SAM -

NA - HP

CMG - NA

- HP

MAT -

NA - HP

SORDS

- NA -

HP

SACS -

NA - HP

E- Eur eka -NA - HP

Allegr o -NA - HP

I OM -

NA - HP

PROMIS

- NA -

HP

Norm -NA -HP

SPD -

NA -

HP

Siebel

eChannel

BPS - CPQ

PWEB

- US -

Prof iler

- HP

Explor er4- CPQ

SFDM( M1/ M2) -

CPQ

Remedy

US - HP

ResellerWeb - HP

Siebel Call

Cent er 2000

- US - CPQ

Q uot er s

W B - CPQ

MAXCI M

- HP

Roset t aNet

Port al - HP

ESN -

US -

Fast -

CPQ

Armada

- NA -

Part ner

Direct -

CPQ

Backplane/ Shopf loor -

NA - HP

Clarif y - WFM -

NA - HP

Clarif y -

Pulse -

CPQ

Core -CPQ

Ent it lement -

NA - HP

EDI / XMLG at eway - NA/ AP

- HP

G O LD- CPQ

Power -

CPQ

RCM - HP

SAP 3. 1 - EPH- Finance -

CPQ

FAI - NA - HP

EI A - NA - HP

WWFTP -

HP

SSIM

- HP

e-

Pack -

Resource

Marketplace

- NA - HP

Plus -

NA -

HP

Smar t Cube

- HP

GDS -

NA - HP

SAP -Educat ion -

NA - HPCDO - NA -

HP

Knight

- CPQ

WWPAK

- HP

eSt or es

- CPQ

Xelus

Plan -

NA -

HP

SAP 4. 6 - SW

Supply Chain

- HP

WW

Comcat -

SMARTdb -CPQ

ePar t s

- HP

HP

ShoppingAt Home

- CPQ

Cus to m e rs

Sho pp ing /

Quo ti n g

Ord er

M a na g em e nt

Sup p l y

Cha in

Fin an c e



www.EWSolutions.com


What Do Our Current IT

Systems Look Like?



www.EWSolutions.com


Islands of Data

Operational

Applications

Islands of

Data

End User

Reporting

Systems

Claims

Pharmacy

Financial Analysis

Health & Medical

Services (CQM, HSA)

Actuarial & Underwriting

Analysis

Sales & Mktg /

Network Development

Utilization

Membership/Enrollment &

Billing

Standard

Adhoc

Standard

Adhoc

Standard

Adhoc

Standard

Adhoc

Standard

Adhoc

Standard

Adhoc

Standard

Adhoc

Standard

Adhoc

North E/B

TOPPS ES-9000

IPS- Inter Practice System VAX(Burlington)

PSIMED HPE-980

MGD Claims AS/400

Query

Pharmacare (outside vendor) AS/400

Pharmaview (outside vendor)

NED E/B ACPS- Automatic Claims

Processing System PASS - Patient Appointment

Scheduling System ENCOUNTER FFS - Fee For Service

REF - Referrals

HP-992 NEDClinical Computer

Pharmacy DB

Provider Master

AMISYS MARS

•Hospital Summary •Quality Assurance Request

HP (9 series)

•Network & Medical Request •Actuarial End User Request •Claims Prov DB Drug DB

AMRS-Advanced Medical

Record System RIS- Radiology Information

System LAB/LIS- Laboratory

Information System

VAX Cluster RX42

HPE-980

MHUM - Mental Health

Utilization Management

AST 486 server Healthchex

Pentium PC Bulletin Board System (BBS)

NED Datawarehouse HP937

HSA dept. Lan Server

NED Multiview GL and AP

PHC Pharmacy Server

PHC Actuarial Analysis Server

Analytic Database

Quantum Dec Alpha

MAMSYS/PAPSYS

PHC JV Finance Server

PHC Network Development Server

PHC Medical Services Server

PHC Multi-view GL.

(14) Foxpro Applications

ASAP - Actuarial System

Analysis Program

MS SQL Server

DB2 and SAS dataset Decision Analyzer

GL

SAS , SAS screens,

Viewpoint

GMIS-Claim Check

Actuarial SAS dataset

ES-9000

Medical

Groups

HCD MGD NED PHC Legend Multiple colors indicate the system is

used by multiple divisions.



www.EWSolutions.com


The Cost of Redundancy

Large healthcare insurance company

Has a $1.6 billion IT budget

They estimate it costs them $2 per month to store each gigabytes of data

$8 per month if you add in services and maintenance

They estimate that they have 1.6 petabytes of redundant data

What does this cost them yearly? Simple math

$8 x 12 months x 1,000,000 (1.6 petabytes) = $153,600,000



www.EWSolutions.com


Data Governance Metrics

Defined “hard” and “soft” dollar savings and earnings

Testimonials from participating areas (lines-of-business, divisions, etc.)

Improvements in process and data performance (limiting redundancy, increasing reuse, improving performance, etc.)

Documented improvements in information quality

Number of times meta data is read/updated/added/deleted from the MME

Number of participating Data Stewards

Number of defined Subject Areas

Number of entities, attributes and relationships actively managed

Number of entities, attributes and relationships with corresponding meta data



www.EWSolutions.com


Data Governance



www.EWSolutions.com


Data Governance

Data is one of the most important assets in a corporation

Data has value when it is delivered timely, properly formatted, concise, accurate and understood

Business ownership of the data and active participation are critical

The role of the data steward has grown considerably over the years



www.EWSolutions.com


Data Governance

Data Stewardship: The process of having data stewards work with the data and meta data of an organization to ensure its quality, accuracy, formats, domain values, and that it is properly defined and understood across the enterprise

Data Stewardship’s role is to ensure organizational data and meta data meet quality, accuracy, format and value criteria; ensuring that data is properly defined and understood (standardized) across the enterprise



www.EWSolutions.com


Data Stewardship

Data Steward: A person(s) responsible for working with the data and meta data. There are different types of data stewards

Involved in defining subject area boundaries

Collects feedback and enhancements for specific subject area

Resolves data integration issues

Acts as the conduit between business and IT

Serves as quality control point for the subject area

Note: one data steward can be responsible for multiple subject areas

The data steward acts as the conduit between IT and the business. The data steward (often not just one person, but a collection of people) aligns the IT systems (both decision support and operational) with the business’ requirements. The data steward has the challenge of guaranteeing that one of the corporation's most critical assets--its data--is used to its fullest capacity



www.EWSolutions.com


Understanding Data Governance

Data

Misunderstood

Inaccurate

Misleading

Data Governance

Actionable Information

Understood

Accurate

Consistent

Policies, Procedures, Consensus,

Knowledge, Information, Data, Meta Data

Transform

Data Into

Information

Data Stewards Data Stewards



www.EWSolutions.com



Data steward acts as the conduit between IT and the business

Align the IT systems (both decision support and operational) with the business’ requirements

Every company has data stewards…they may not have the official designation but they exist

No two data stewardship groups are exactly the same

The task of being a data steward is typically not a full-time assignment

There are different types of data stewards



www.EWSolutions.com


Introduction to Data

Governance



www.EWSolutions.com


Data Governance Components

Thought Ware: Mission/Core Values, Goals/Objectives, Charters/Principles, Critical Success Factors, Plans, Documents/Policies, Communication Plan (messages and vehicles), Roles/Functions and Responsibilities Definitions, Accountability Matrix, Organizational Interdependencies, Workflow

People Ware: Structures, Organizations, Committees, Teams/Groups, People

Work Ware: Managed Meta Data Environment, Software, Training and Education, References, Templates, Standards

Artifacts: Meta Data, Data Rules and Definitions, Decision Rights, Accountabilities, Controls



www.EWSolutions.com


Illustration of the Four Components

Thought Ware

Artifacts

People Ware

Work Ware

Assists

Guides

Work Results

Kept in Tools

The true tangible

value/measure of

data governance –

when the artifacts

are used

successfully



www.EWSolutions.com


Governance and Strategy

Data governance is the method for

connecting information management and

the corporate business strategy



www.EWSolutions.com


Data Governance

Organization



www.EWSolutions.com


Data Governance Organization

Every organization forms their data governance

organization a little differently

Some have a more or less complex organization

What is critical is that the organization:

is actively using the MME

has clear lines of communication

has a defined and well understood decision making

process

well defined feedback loop



www.EWSolutions.com


Subject Area

A logical grouping of items of interest to the enterprise, or areas of interest within the company

About 8 – 20 Subject Areas in an organization

The “nouns of an entity. Examples:

Legal Entity

Location

Account

Product

Customer/Party

Sale/Transaction



www.EWSolutions.com


Data Governance Organization

Subject Area

Groups

Subject

Area

User

Group #1

• Chief Steward

• Business Steward(s)

• Technical Steward(s)

• Interested Parties

Re

co

mm

en

da

tio

ns

Data

Stewardship

Coordination

Group

Program Manager

Chief Stewards

EIM Focus Area/

Project #1

Steward Team

Data Governance

Council

Policies,

Procedures,

Standards, etc.

Members:

•Executive Sponsor (s)

•Program Manager

•Chief Stewards

•CIO

•Key business staff

•Key IT staff

Managed Meta Data Environment

Enterprise

Oversight

Subject

Area

User

Group #2

• Chief Steward




Subject

Area

User

Group #3

• Chief Steward




EIM Focus Area/

Project #2

Steward Team

EIM Focus Area/

Project #3

Steward Team

Technical

Stewards

Data Custodian Team

Information Technology

Requirements



www.EWSolutions.com


Subject Area Groups

Subject Area Groups utilize

business stewards for business

related subject areas (e.g. attribute

definitions) and technical stewards

for technical related subject areas

(e.g. data transformations)

A Subject Area Group will likely

(definitely) interact with multiple

EIM Focus Areas

Subject Area

Groups

Subject

Area

User

Group #1

• Chief Steward




Subject

Area

User

Group #2

• Chief Steward




Subject

Area

User

Group #3

• Chief Steward




Subject Area

Groups

Subject

Area

User

Group #1

• Chief Steward




Reco

mm

en

dati

on

s

Data

Stewardship

Coordination

Group

Data Governance

Program Director

EIM Focus

Area #1

Steward Team

Data Governance

Council

Policies,

Procedures,

Standards, etc.

Members:

•Executive Sponsor

•Chief Steward

•Business Mgrs

•CIO


•Key IT staff


Enterprise Oversight

Subject

Area

User

Group #2

• Chief Steward




Subject

Area

User

Group #3

• Chief Steward




EIM Focus

Area #2

Steward Team

EIM Focus

Area #3

Steward Team

Techni

cal

Stewar

ds

Data Custodian Team




www.EWSolutions.com


Subject Area Groups

Each Subject Area Group can be comprised of:

Business Steward(s)

Technical Steward(s)

Interested Parties

Interested parties includes those individuals or groups that have a vested interest and ability to contribute positively to the Subject Area User Group

Subject Area

Groups

Subject

Area

User

Group #1

• Chief Steward




Reco

mm

en

dati

on

s

Data

Stewardship

Coordination

Group

Data Governance

Program Director

EIM Focus

Area #1

Steward Team

Data Governance

Council

Policies,

Procedures,

Standards, etc.

Members:


•Chief Steward

•Business Mgrs

•CIO


•Key IT staff



Subject

Area

User

Group #2

• Chief Steward




Subject

Area

User

Group #3

• Chief Steward




EIM Focus

Area #2

Steward Team

EIM Focus

Area #3

Steward Team

Techni

cal

Stewar

ds

Data Custodian Team


Subject Area

Groups

Subject

Area

User

Group #1

• Chief Steward




Subject

Area

User

Group #2

• Chief Steward




Subject

Area

User

Group #3

• Chief Steward






www.EWSolutions.com


Data Stewardship Coordination Group

The Data Stewardship Coordination

Group is the centralized organization

that houses the EIM Focus Area

Steward Teams

It ensures that the meta data and

data being brought in by the Subject

Area User Groups is being allocated

to the correct EIM Focus

Area/Project Steward Team Subject Area

Groups

Subject

Area

User

Group #1

• Chief Steward




Reco

mm

en

dati

on

s

Data

Stewardship

Coordination

Group

Data Governance

Program Director

EIM Focus

Area #1

Steward Team

Data Governance

Council

Policies,

Procedures,

Standards, etc.

Members:


•Chief Steward

•Business Mgrs

•CIO


•Key IT staff



Subject

Area

User

Group #2

• Chief Steward




Subject

Area

User

Group #3

• Chief Steward




EIM Focus

Area #2

Steward Team

EIM Focus

Area #3

Steward Team

Techni

cal

Stewar

ds

Data Custodian Team


Data

Stewardship

Coordination

Group

Program Manager

Chief Stewards

EIM Focus Area/

Project #1

Steward Team

EIM Focus Area/

Project #2

Steward Team

EIM Focus Area/

Project #3

Steward Team



www.EWSolutions.com


Data Governance Council

The Data Governance Council oversees the data governance organization

This group handles any serious issues or questions that may arise

Approve/create policies, procedures and standards that the Data Stewardship Group & Subject Area Groups

Subject Area

Groups

Subject

Area

User

Group #1

• Chief Steward




Reco

mm

en

dati

on

s

Data

Stewardship

Coordination

Group

Data Governance

Program Director

EIM Focus

Area #1

Steward Team

Data Governance

Council

Policies,

Procedures,

Standards, etc.

Members:


•Chief Steward

•Business Mgrs

•CIO


•Key IT staff



Subject

Area

User

Group #2

• Chief Steward




Subject

Area

User

Group #3

• Chief Steward




EIM Focus

Area #2

Steward Team

EIM Focus

Area #3

Steward Team

Techni

cal

Stewar

ds

Data Custodian Team


Data Governance

Council

Policies,

Procedures,

Standards, etc.

Members:


•Program Manager

•Chief Stewards

•CIO


•Key IT staff

Enterprise

Oversight



www.EWSolutions.com



Enterprise Oversight represents any oversight committee that the organization may have that looks over the Data Governance Executive Committee

These groups go by many names including steering committees, project management office, etc.

Larger companies may have such an organization while medium-sized organizations may not Subject Area

Groups

Subject

Area

User

Group #1

• Chief Steward




Reco

mm

en

dati

on

s

Data

Stewardship

Coordination

Group

Data Governance

Program Director

EIM Focus

Area #1

Steward Team

Data Governance

Council

Policies,

Procedures,

Standards, etc.

Members:


•Chief Steward

•Business Mgrs

•CIO


•Key IT staff



Subject

Area

User

Group #2

• Chief Steward




Subject

Area

User

Group #3

• Chief Steward




EIM Focus

Area #2

Steward Team

EIM Focus

Area #3

Steward Team

Techni

cal

Stewar

ds

Data Custodian Team


Data Governance

Council

Policies,

Procedures,

Standards, etc.

Members:


•Program Manager

•Chief Stewards

•CIO


•Key IT staff

Enterprise

Oversight



www.EWSolutions.com


Top 10 Reasons for Data

Governance Failures



www.EWSolutions.com


The Ten Keys To Success

These are some of the basic stumbling

blocks that many data governance

programs have experienced

Feel free to ignore these keys…if you want

to have a failure on your hands

10 Keys To Success



www.EWSolutions.com


Number #1 reason for failure in data

governance programs

People want to do it “their way” instead of

the “organization’s way”

Don’t want to make time for the data

stewardship tasks

Key #1: Overcoming Political Challenges



www.EWSolutions.com


Executive support is vital as these

programs require coordination and

cooperation from across the enterprise

Critical for leaping political hurdles

Executive support keeps the program

funded

Key #2: Lack/Loss of Executive Support



www.EWSolutions.com


Strategic and tactical

Very few organizations will wait more than a year for results

Must identify short-term tactical projects that upon completion would benefit the company but that ALSO move the strategic (long-term) vision forward

Keep the enterprise in mind

Key #3: Balance Short-term & Long-Term Goals



www.EWSolutions.com


Avoid the “Boiling the Ocean” approach to

data governance

It takes years to fully build a world-class data

governance organization

Your environment is always changing

Use 3 – 6 month project cycles

Government organizations can go to 6 – 12

month project cycles

Key #4: Build Iteratively



www.EWSolutions.com


Data exists all over the organization

Some business users will be managing data on their

desktops

It may be in very old and antiquated systems

It may be housed in a remote location

For large global entities it is almost impossible to

govern every scrap of data that may exist

Govern the “key” data in your organization as this

will give you the vast majority of the value for your

efforts

Key #5: 80/20 Rule



www.EWSolutions.com


Many companies focus exclusively on the

initial construction of their Data Governance

program but neglect to address ongoing

adherence

Tie your data stewards MBOs

(management by objectives) into their data

stewardship activities

Make sure to keep your MME up-to-date

(automated)

Key #6: Ensure Ongoing Adherence & Maintenance



www.EWSolutions.com


Data governance is not a IT project. It is a

business program

Business people must be actively involved

in data stewardship roles and oversight

Without business’ help this task is almost

impossible

Key #7: Business Is Actively Involved



www.EWSolutions.com


Many data governance programs neglect to define measureable metrics

Most programs fail to take a baseline measurement

This prevents them from being able to measure success

Key #8: Inability to Measure Success



www.EWSolutions.com


Projects have end dates, programs do not

This is program

If properly built your data governance

structures will last for many years

Key #9: It’s a Program Not a Project



www.EWSolutions.com


These efforts are embarked on to provide

REAL value to an enterprise

They are NOT “science projects”

Make sure to define specifically the value

that data governance will provide

Key #10: It’s Not A Science Project



www.EWSolutions.com


Data governance programs are not easy

and take many years to truly develop

There are NO MAGIC BULLETS

You must ALWAYS understand your data

Don’t cut corners and do it on the “cheap”

Be smart, diligent and patient

Never stop selling your program

You will achieve GREAT results

In Conclusion



www.EWSolutions.com


Questions