Develop and Implement a Data Management Strategy and Roadmap

Treat data as an asset, and gain a competitive advantage.

Onsite Workshop


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An ineffective or non-existent Data Management strategy and roadmap will lead to:

  • Organizational vulnerability to poor decisions due to untrustworthy data.
  • Risk compliance violations from an outdated data model and practices.
  • Departments that are unable to trust or use data to support their central functions.
  • Poor data security related to sensitive data.
  • Organizations falling behind their industry peers.
  • Reliance on a data architecture and system that is outdated and unable to support the business’s data analytic needs.

An effective Data Management strategy and roadmap will:

  • Allow your business to become an analytic company that uses data as a competitive advantage.
  • Make your business more productive and profitable by improving your organization’s data quality and availability.
  • Ensure your organization’s Data Management processes are scalable and able to support your organization’s growing business needs.

Module 1: Scope the Project

The Purpose

  • Determine workshop objectives.
  • Scope the Data Management strategy project.
  • Determine the domain for the project.

Key Benefits Achieved

  • Understand opportunities regarding Data Management.
  • Plan the scope of the project.
  • Select the project’s domain.
  • Identify key stakeholders.

Activities: Outputs:
1.1 Identify pain points
  • Business context
1.2 Identify drivers for your project
  • Project charter
1.3 Select the domain of your project
  • Project domain
1.4 Identify stakeholders
  • Project stakeholder list

Module 2: Gather Requirements

The Purpose

  • Determine business requirements.
  • Determine technical requirements.

Key Benefits Achieved

  • Documented business requirements for Data Management.
  • Capability assessment of current Data Management processes.
  • Review of results and gap analysis.

Activities: Outputs:
2.1 Determine business requirements
  • Business requirement list
2.2 Identify opportunities
  • Identification of data-related opportunities
2.3 Conduct a Data Management review
  • Current capabilities assessment
2.4 Complete a capability assessment
  • Reviewed gap analysis

Module 3: Design Data Management Initiatives

The Purpose

  • Plan your strategic initiatives considering your priority gaps and business needs.

Key Benefits Achieved

  • Selection of high impact building blocks.
  • Creation of effective initiatives.

Activities: Outputs:
3.1 Create your Data Management strategy
  • Creation of mission statement
3.2 Identify priority gaps
  • Identification of priority gaps
3.3 Select building blocks
  • Selected building blocks
3.4 Design initiatives
  • Initiative designs

Module 4: Implement

The Purpose

  • Create your Data Management roadmap.
  • Plan your implementation.

Key Benefits Achieved

  • Roadmap for a phased implementation.
  • Implementation plan for process changes and initiative projects.

Activities: Outputs:
4.1 Create your roadmap
  • Roadmap
4.2 Confirm alignment with the business
  • KPIs and metrics
4.3 Determine KPIs
  • Review process
4.4 Create review process

Workshop icon 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 road map in place to complete your project successfully.

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