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Create a Plan for Establishing a Business-Aligned Data Management Practice

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  • Michael Blaha, Consultant and Author, Patterns of Data Modeling
  • David Birmingham, Senior Solutions Architect, BrightLight Consulting
  • Mario Cantin, Chief Data Strategist, Prodago
  • Nancy Couture, Delivery Enablement Lead, Datasource Consulting
  • Mehrdad Novin, Senior Data Architect/Modeler Consultant
  • Martin Sykora, Director, NexJ Analytics
  • Kirti Shetty, Data Quality Business Delivery Manager, TD Canada Trust
  • Anne Marie Smith, Ph.D, Board of Directors, DAMA International
  • John Talburt, Chief Data Scientist, BlackOak Analytics

Your Challenge

  • Effective data management requires a cross-functional approach that engages both the business and IT.
  • Despite the growing focus on data, many organizations struggle to develop an effective strategy for managing their data assets.
  • Effective data management is more than just a technical solution. It requires a change in culture from the business and investments in resourcing, technology, and process.

Our Advice

Critical Insight

  • Data management is not one size fits all: Cut through the noise related to data management and create a strategy and process that is right for your organization.
  • Take a data-oriented approach: People stop thinking about data and the “art of the possible” when you bring up business functions. Maintain a data focus during a project’s planning, delivery, and evaluation stages.

Impact and Result

  • Use this blueprint’s approach and roadmap results, to support your organization in building a practice that prioritizes plans and actions that best address opportunities for managing business risk and value.
  • Create a culture of collaboration that will allow the plans and visions for your data management practice to maintain momentum and be sustained over the long term.

Research & Tools

Start here – read the Executive Brief

Read our concise Executive Brief to find out why you should create a plan for establishing a business-aligned data management practice. Review Info-Tech’s methodology, and understand the four ways we can support you in completing this project.

2. Plan for the future

Create a roadmap for your data management practice that aligns to your organization’s current needs for data and its vision for how it wants to use data over the next 3-5 years.

Guided Implementations

This guided implementation is a six call advisory process.

Guided Implementation #1 - Align with the business

Call #1 - Identify what data management means for the organization.
Call #2 - Discuss the business’s strategic plans and establish a business context for data management.
Call #3 - Determine data strategies.

Guided Implementation #2 - Plan for the future

Call #1 - Discuss the results of the data management evaluation.
Call #2 - Plan initiatives for data management.
Call #3 - Create a roadmap and discuss next steps.

Onsite Workshop

Discuss This Workshop

Book Your Workshop

Onsite workshops offer an easy way to accelerate your project. If you are unable to do the project yourself, and a Guided Implementation isn't enough, we offer low-cost onsite delivery of our project workshops. We take you through every phase of your project and ensure that you have a roadmap in place to complete your project successfully.

Module 1: Develop Data Strategies

The Purpose

  • Understand the business’s vision for data and the role of the data management practice.
  • Determine business requirements for data.
  • Map business goals and strategic plans to create data strategies. 

Key Benefits Achieved

  • Understanding of business’s vision for data
  • Unified vision for data management (business and IT)
  • Identification of the business’s data strategies 




Establish business context for data management.

  • Practice vision

Develop data management principles and scope.

  • Data management guiding principles

Develop conceptual data model (subject areas).

  • High-level data requirements

Discuss strategic information needs for each subject area.


Develop data strategies.

  • Data strategies for key data assets

Identify data management strategies and enablers.

Module 2: Assess Data Management Capabilities

The Purpose

  •  Determine the current and target states of your data management practice.

Key Benefits Achieved

  •   Clear understanding of current environment





Determine the role and scope of data management within the organization.

  • Data management scope

Assess current data management capabilities.

  • Data management capability assessment results

Set target data management capabilities.


Identify performance gaps.

Module 3: Analyze Gaps and Develop Improvement Initiatives

The Purpose

  •  Identify how to bridge the gaps between the organization’s current and target environments.

Key Benefits Achieved

  •  Creation of key strategic plans for data management





Evaluate performance gaps.

  • Data management improvement initiatives

Identify improvement initiatives.


Create preliminary improvement plans.

Module 4: Design Roadmap and Plan Implementation

The Purpose

  • Create a realistic and action-oriented plan for implementing and improving the capabilities for data management.

Key Benefits Achieved

  • Completion of a Data Management Roadmap
  • Plan for how to implement the roadmap’s initiatives 




Align data management initiatives to data strategies and business drivers.

  • Data management roadmap

Identify dependencies and priorities

  • Action plan

Build a data management roadmap (short and long term)


Create a communication plan

  • Communication plan

Search Code: 79451
Published: December 22, 2015
Last Revised: December 22, 2015