Data Governance for the Executive

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Data Governance for the Executive Raising the Bar” Based on the recently released book “Data Governance for the Executive” By Jim Orr Director, Information Builders, Inc. December 8, 2011 Welcome!

Transcript of Data Governance for the Executive

Data Governance for the Executive

“Raising the Bar”

Based on the recently released book

“Data Governance for the Executive”

By Jim Orr

Director, Information Builders, Inc.

December 8, 2011

Welcome!

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Data Governance

Data quality

Data integration

Data modeling

Data security & privacy

Data lineage

Metadata management

Stewardship

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Business rules

Data standards

Data analytics

Work flow management

Measure, monitor, trend & report

Data entry

Data storage

Yes, data governance involves each of these activities,

domains and more. However, today’s webinar will not

cover any of this in detail. Instead, we will focus on what

executives and business leaders need to know.

Broad interpretation and scope…

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Data Governance for the Executive

1. Alter age-old opinions and introduce new concepts

2. Demonstrate value (holistic & nonconventional)

3. Implementing structure that supports fundamental

requirements for success

Changing perceptions and influencing business leadership

Agenda

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Data management practices/policies

Technology

Business process

Organization strategy and policy

Culture

What influences data and information outcomes?

All are interconnected, have upstream

and downstream dependencies, and

need to be governed

Data Governance for the Executive Changing Perceptions

Financial Assets

Centralized ownership,

authority, accountability

Standard policies and

procedures

Common chart of accounts

Formal audits

Regulated

Well documented

Part of planning process

Data Assets

Fragmented ownership, little

authority or accountability

Minimum standards/inefficient or

non-existent policies/procedures

Few/no common data models or

methods

Limited/no audits

Unregulated/loosely regulated

Poorly documented

Seldom part of planning process

Similar assets but managed very differently

Need to treat data like a financial asset.

Data Governance for the Executive Changing Perceptions

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It is not just about the data and technology…

The term “data governance” can imply tactical, IT centric data

management activities with a flair for bureaucracy. To the

contrary it is about

Information Asset Management

that drives business performance.

What you call it and how you view it as an

organization can be the difference

between success and failure

Data Governance for the Executive Changing Perceptions

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Data Governance for the Executive

New horizons

Changing Perceptions

A data governance discipline represents a collection of individuals that

serve as custodians over the data and information assets of a company

or agency from both a business and technical perspective.

As the discipline matures, it cultivates intellectual property and gains

unprecedented visibility into the organization’s business processes, data

and information assets. This insight exposes hidden opportunities,

challenges, and risk that impact the company business. It also provides

the mechanism to accentuate the opportunity and mitigate the risk.

Because of this, data governance serves as a solid framework for

administering the data and information assets of an entire organization

or at minimum, the data life cycle.

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#1 Reason for Success

Identifying and

demonstrating economic

value.

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Economic

Justification

Where and how to find the

value.

Data Governance for the Executive Demonstrating Value

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Data Governance may be the last frontier

for materially

• Reducing costs

• Improving revenues

• Mitigating risk

• Driving compliance

in mid-market, enterprise, and global

organizations and across all industries.

Why all the buzz?

Data Governance for the Executive Demonstration Value

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On average, companies estimate they are losing $8.2 million

dollars annually because of data quality issues with 22% of

businesses estimating losses over $20 million per year.

- Gartner Group (8/4/2009)

On average, companies estimate they lose over $5 million dollars

annually due to data related problems with 20% of businesses

estimating losses over $20 million per year.

- Forbes Insights (April 2010)

What the industry is telling us…

Data Governance for the Executive Demonstrating Value

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The economic impact of ineffective data management, data quality, and

governance is predicted to be much higher than analyst report because

You Simply Don’t Know What You

Don’t Know!!

For every known data governance benefit and opportunity there are many

more just like it buried beneath a complex maze of corporate practices,

disparate systems, culture, and bureaucracy.

What the industry has taught us…

Data Governance for the Executive Demonstrating Value

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Business

Process

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(1) Program (2) Data

Management

Operations

5 primary areas to find value for

data governance

Data Integration

Data Modeling

Data Quality

Metadata

Management

Security &

Privacy

Data Standards

Stewardship

Monitoring &

Metrics

Business Rules

Data Lineage

Reporting

MDM

BI

CRM

CDI

DW

(3) Projects

EDW

DM

360° View

Data Migration

Data Integration

(4) Business

Operations

Order to Cash

Supply Chain

Mail & Transport

Asset Mgmt.

Sales &

Marketing

Customer

Service

Risk &

Compliance

Business

Analytics &

Research

Customer

Definition

Merger &

Acquisition

Planning &

Budget

Business Partner

Integration

Data Enrichment

Security &

Privacy

(5) Organization

Strategy & Policy

Taxes & Fees

Social and

Human Services

ERP

Workflow

Management

Data Governance for the Executive 5 Ways to Demonstrate Value

Structure

Scope

Prioritization

Policy

Roles &

Responsibilities

Authority &

Accountability

Issue Resolution

Power to

Question

Transparency

Weights &

Balances

CoE

Business Align.

Strategy &

Direction

Agility to

Respond

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Data Governance

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Organization

Structure

How do we make this operational?

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1

1 1

Direction

Scope

Prioritization

Structure

Organizational alignment

Policy definition

Issue resolution

Roles and responsibilities

Authority and accountability

Funding

Education

Communication

Data integration

Data quality

Data modeling

Metadata management

Data lineage

Work flow management

Security

Data standards

Business rules

Business process

Reporting & metrics

Stewardship

Customer definition

Acquisition & merger

Data enrichment

Risk & compliance

Overlapping Scope

&

Interdependencies

Each are unique and require different

focus, solutions, skills, and approaches.

However, each are highly interdependent

on one another.

Administrative (Formal Oversight)

Technical (Tools & Data Management)

Business (Policy, Process, Standards,

Opportunities, Risk)

Data Governance for the Executive 3 Operational Components

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$ Business Value $

Technical and

Business Data

Governance Layer

(not all inclusive list)

Data Quality Data

Integration

Administrative Data Governance

Information & Data Quality Optimization

Business

Process

Data

Stewardship

Project Optimization (MDM, EIM, CRM, EPI, BI, EDW, DW, 360 degree view)

Data

Management

Domains

The benefit of a strong administrative arm

Data Governance for the Executive Purpose

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Legitimacy

Corporate visibility

Span of control over data

Span of control over business process

Funding

Senior management involvement

Skill & position Each of these must be reflected directly or

indirectly in the structure of a data governance

organization. The more an organization can

satisfy these requirements the more successful

their program will be.

Primary structural requirements for success

Data Governance for the Executive Structure

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Senior Management

Formal Office of: Data Governance or

Information Management or

Information Asset Management

Council

Wildcard

It’s not so much about

about the boxes and

reporting structure as it is

about their relationships,

how they actually work

together, and why

Data Governance for the Executive Structure

Structural concepts that satisfy many foundational

requirements for success

Every organization structure is

different. These concepts can

be applied in a number of ways.

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Questions?

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On behalf of DATAVERSITY and Information Builders, thank

you very much for your time and interest today!

To order or learn more about “Data Governance for the Executive” go to: Amazon.com:

http://www.amazon.com/Data-Governance-Executive-James-Orr/dp/0615531911/

Or

Senna Publishing, LLC

https://sites.google.com/a/sennapublishing.com/senna-publishing/

Jim Orr

Information Builders, Inc.

James_Orr @IBI.com

(719) 534-3116

To learn more about

Information Builders, our

technology and

information management

solutions visit:

https://www.ibi.com