Develop and Implement a Data Management Strategy and Roadmap

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

Onsite Workshop

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  • Risk compliance violations from an outdated data model and practices.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  • Reliance on a data architecture and system that is outdated and unable to support the business’s data analytic needs.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

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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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