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Enhance Your Roadmap for Data and Analytics Governance

What makes establishing effective

data and analytics governance so

challenging?

Good governance is critical to business success. However, organizations

today are being let down by their business practices, and one of the main

culprits is poor (or no) data and analytics governance.

Organizations that are successful in data and analytics governance have a

data-driven culture. They actively engage and influence their stakeholders,

promote data sharing, break down silos and evangelize data literacy. The

Gartner Seventh Annual CDO Survey found that CDAOs who link data and

analytics to prioritized, quantified business outcomes and metrics will be

more successful than their peers who do not.

Yet, as the figure on the right shows, only a few organizations set out a

compelling business case for governance that connects measurable

business outcomes, supporting business processes, and the scope of

data and analytics assets that must therefore be governed.

A Compelling Data and Analytics Governance Business

Case Is Urgent

Limiting Practices

Reasons Organizations Give For

Not “Doing Governance”

• Governance implies control,

not value

• Slowing down the business

• More an IT concern than business

• Failed too many times before

• Too big

• Nice to have, but not core to what

we do/need

Organizational

Stress

Business Demand

Reasons Why Governance Is

Critical to Digital Business Success

• Leverages existing data and

analytics investments to drive and

sustain business growth

• Manages competitive threats from

changing market dynamics and

regulatory landscape

• Creates new business value

through monetization and

exchange of information products

• Reallocates scarce resources to

high-priority projects in line with

strategic goals

Source: Gartner

Gartner for Data & Analytics Leaders

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Enhance Your Roadmap for Data and Analytics Governance

How can data and analytics governance

help you succeed in achieving your

digital business ambition?

A traditional one-size-fits-all approach to data and analytics governance

cannot deliver the value, scale and speed that digital business demands.

Adaptive and flexible governance enables data and analytics leaders to

select different governance styles for differing business scenarios.

From our expert research and interactions with thousands of companies in

a wide range of industries, we’ve compiled data and analytics governance

best practices into a customizable roadmap. Your organization can use this

roadmap to understand the key stages, resources and people required to

plan and execute an effective data and analytics governance initiative.

Applying Adaptive Data and Analytics Governance Styles

to IoT Solutions

lexi

Mat

uri

Autonomous

Agility

Outcomes

Control

Real-Time Automation, Autonomous

Things, Adaptive AI Algorithms

Machine Learning Models, Data

Engineering, “As-a-Service”

Product Management

Predictive Maintenance, “As-a-

Service” Business Models, Data

Monetization

Regulatory and Compliance, Basic

Data Security and Privacy, Asset

Performance Analytics

Source: Gartner

Gartner for Data & Analytics Leaders

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Enhance Your Roadmap for Data and Analytics Governance

Some of the top questions of managing/maintaining data

and analytics governance are:

governance oes your existing model data align and with analytics

data

analytics H

ow do you governance evaluate data maturity?

and

in hich defining teams data need and to analytics

be involved

and analytics strategies?

governance?

What are the key stages?

This best-practice insight is distilled from interactions with clients who

have successfully implemented data and analytics governance initiatives.

The roadmap shows the sequence of objectives and desired outcomes

and is useful for aligning all stakeholders.

A few key milestones and a sample of associated Gartner resources follow,

but the full roadmap includes complete details of all milestones and resources

for each stage.

Align strategy

Develop action plan

Begin execution

Monitor

Optimize and scale

Gartner for Data & Analytics Leaders

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Enhance Your Roadmap for Data and Analytics Governance

Align strategy

Develop action plan

Begin execution

Monitor

Optimize and scale

Align strategy

Set the right governance foundations.

Actions to take:

Analyze mission-critical

priorities and how D&A is

essential to deliver targeted

business value.

Define the scope of

governance and evaluate

options for deploying a

governance framework.

+ more

Agree on strategy, align

outcomes with phased

governance initiatives and

show impact on business

key initiatives.

Sample of associated Gartner resources include:

• Consultation: Discuss data and analytics strategy

ambition of enterprise and develop roadmap

accordingly.

• 5 Steps to Build a Business Case for Data and

Analytics That Even Humans Will Understand

• Toolkit: Build the Business Case for Data and

Analytics Governance

• IT Score for Data and Analytics

• Analyst inquiry: Assess current status of data and

analytics governance capability needed to stay

relevant to business needs.

+ more

Gartner for Data & Analytics Leaders

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Enhance Your Roadmap for Data and Analytics Governance

Align strategy

Develop action plan

Begin execution

Monitor

Optimize and scale

Develop action plan

Build an effective governance structure.

Selected tasks include:

Assess existing Governance

capabilities and maturity

in key areas such as

accountability and ethics.

Define the operating model

for governance and design

governance deployment.

+ more

Set up governance footprints

for initiatives and address the

need for strategic oversight.

Gartner for Data & Analytics Leaders

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Sample of associated Gartner resources include:

• 2022 Strategic Roadmap for Data and Analytics

Governance

• Analyst inquiry: Develop data and analytics

governance charter and framework connected

with business outcomes.

• Ignition Guide to Building a Data and Analytics

Governance Program

• Use the Gartner Value Pyramid to Connect Data

and Analytics to Business Value

• Consultation: Apply techniques such as three

rings model to scope the governance initiative.

• Analyst inquiry: Engage with an analyst to

develop the operating model and roadmap for

the governance program.

+ more

Enhance Your Roadmap for Data and Analytics Governance

Align strategy

Develop action plan

Begin execution

Monitor

Optimize and scale

Begin execution

Design and deploy governance policies and standards.

Selected tasks include:

Analyze existing policies

and standards and assess

overlaps, gaps and conflicts.

Engage with key stakeholders

to define the content of

policies and standards and

assess the deployment plan.

Establish the technology

Infrastructure, workflows,

and compliance and

reporting mechanisms.

+ more

Sample of associated Gartner resources include:

• Gartner Peer Connect Perspectives: Find

the right approach to formulating a Data and

Analytics Governance Policy.

• Analyst inquiry: Review and feedback draft

governance policies and standards improve

likelihood of successful adoption.

• On-site workshop: Assess governance

framework, operating model and roadmap

against targeted business outcomes.

+ more

Gartner for Data & Analytics Leaders

Become a Client

Enhance Your Roadmap for Data and Analytics Governance

Align strategy

Develop action plan

Begin execution

Monitor

Optimize and scale

Monitor

Evaluate and improve performance.

Selected tasks include:

Assess actual operational

behaviors and results against

expectations, and address

issues.

Use automated workflow

processes and risk thresholds

to drive behavioral change.

Evaluate impact of

governance policies

on business outcomes

and identify areas for

improvement.

+ more

Sample of associated Gartner resources include:

• Analyst briefing: Where to Organize the Work of

Data and Analytics

• Toolkit: Leadership execution

– Leadership Vision for 2021: Data and Analytics

• Consultation: Review recent research and new

case studies to support team insights.

+ more

Gartner for Data & Analytics Leaders

Become a Client

Enhance Your Roadmap for Data and Analytics Governance

Align strategy

Develop action plan

Begin execution

Monitor

Optimize and scale

Establish the process of iteration and learning.

Selected tasks include:

Track data related issues and

ensure timely and effective

routing and resolution.

Devise new enterprise

processes, roles and skills

plan informed by maturity,

culture and risk appetite.

+ more

Reassess strategy and

model and conduct

controlled testing before

enterprisewide launch.

Sample of associated Gartner resources include:

• Consultation: Review progress and chart the

next iterations by connecting data and analytics

strategy with governance improvement.

– Data and Analytics Leaders Must Use Adaptive

Governance to Succeed in Digital Business

– IT Score for Data and Analytics

• Research: Periodically assess status of data and

analytics governance capability needed to stay

relevant to business needs.

+ more

Gartner for Data & Analytics Leaders

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Enhance Your Roadmap for Data and Analytics Governance

Who needs to be involved?

The most successful companies establish cross-functional teams for their data and analytics

governance initiatives. We have outlined the recommended functions to involve and their

roles to ensure the best success in hitting milestones.

CDAO

Collaborates with organizational leaders

and helps guide data and analytics

Application and software

governance strategy,

engineering leader and team

operating model and deployment efforts;

Informs strategy and provides

strategizes capabilities needed for

guidance for enterprise applications;

delivering new value

manages adoption of new

through data and analytics capabilities;

technologies, delivery methods and

communicates mission and goals across

organizational models; supports and

organization

manages applications to achieve D&A

strategy and governance objectives

Data and analytics leader and team

Establishes the foundations and

framework for data and analytics

governance practices and processes;

evaluates maturity and cultural

barriers to change; coordinates and

enables governance activity through

engagement with key business and IT

stakeholders to deliver success

Program and portfolio/PMO leader

and team

Assists with creating a program plan

to enable effective governance;

enables effective investment

stewardship and prioritization,

program coordination and delivery,

value realization, talent enablement,

and effective organization change

management necessary to establish

adaptive data and analytics

governance

Infrastructure and operations (I&O)

leader and team

Contributes insights on I&O

competencies and helps guide

planning activity for I&O changes

required for data and analytics

governance efforts; develops I&O

service strategy and technical

roadmap and delivers integrated IT

service management landscape to

enable new capabilities

Gartner for Data & Analytics Leaders

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Security and risk management

leader and team

Engages with D&A leaders to ensure

that risk management and information

security implications are understood

and addressed in the governance

initiative; guides planning activity

for data asset management and

governance and risk and compliance

activities

Technical professionals’ teams

Architects and deploys data

management governance

technologies and procedures like

master data management to improve

data quality and increase business

analytics and intelligence, constantly

improves analytics to meet changing

business needs; improves skills as

needed

Enhance Your Roadmap for Data and Analytics Governance

Gartner Priorities NavigatorTM

for CDAOs

The Gartner Priorities NavigatorTM represents mission-critical areas where

Gartner provides supportive expert advice and tools to Chief Data and

Analytics Officers (CDAOs) and their teams.

This Roadmap aligns with one priority: Manage Data, Analytics and AI

Governance and Assets.

Visit Gartner for Data & Analytics to learn more about how Gartner supports

all the priorities that fall under the four key needs of CDAOs:

• Lead a world-class D&A organization.

• Drive quantifiable value with D&A solutions for the business.

• Build trust and mature D&A culture.

• Evolve technology and process capabilities to support D&A.

By 2026, 20% of large enterprises

will use a single data and analytics

governance platform to unify and

automate discrete governance

programs.

Lead a World-Class D&A Organization

Become a

Create an

Organize &

Discover the

Establish & Evolve

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Develop Data,

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s f f i ao l o o s t for Chief Data & Analytics Officers

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Support Data-

Governance and

and AI Initiatives

Analytics and AI

Trends

Driven Decisions

Assets

Effectively

Build Trust and Mature D&A Culture

Questions your peers are asking Gartner:

• How do I establish trust in data, including data quality and responsible,

ethical use and sharing?

• Where do I start to evolve D&A governance?

• How do I leverage data catalogs and metadata for D&A governance?

Gartner for Data & Analytics Leaders

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Enhance Your Roadmap for Data and Analytics Governance

Actionable, objective insight

Explore these additional complimentary resources and tools

on government for data and analytics leaders:

eBook

Identifying Which Decisions to Reengineer

and Why

Leverage the power of data, analytics and AI to drive

competitive advantage.

Webinar

Data and Analytics Governance: Foundations

and Future

Access key foundations needed for data and analytics

governance success.

Enhancing-Data-Analytics-Governance-Roadmap

Enhancing-Data-Analytics-Governance-Roadmap