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Create a Data Management Roadmap

Streamline your data management program with our simplified framework.

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Not creating a plan for establishing a business-aligned data management practice will:

  • Open the business up to risk
  • Cause the business to struggle to develop an effective strategy for managing its data assets

Creating a plan for establishing a business-aligned data management practice will help you:

  • Align data management plans with business requirements and strategic plans
  • Create a collaborative plan that unites IT and the business in managing its data assets
  • Design a data management program that can scale and evolve over time

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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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Member Rating

9.6/10
Overall Impact

$134,006
Average $ Saved

37
Average Days Saved

After each Info-Tech experience, we ask our members to quantify the real-time savings, monetary impact, and project improvements our research helped them achieve.

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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

Activities: Outputs:
1.1 Establish business context for data management.
  • Practice vision
1.2 Develop data management principles and scope.
  • Data management guiding principles
1.3 Develop conceptual data model (subject areas).
  • High-level data requirements
1.4 Discuss strategic information needs for each subject area.
1.5 Develop data strategies.
  • Data strategies for key data assets
1.6 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


Activities: Outputs:
2.1 Determine the role and scope of data management within the organization.
  • Data management scope
2.2 Assess current data management capabilities.
  • Data management capability assessment results
2.3 Set target data management capabilities.
2.4 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


Activities: Outputs:
3.1 Evaluate performance gaps.
  • Data management improvement initiatives
3.2 Identify improvement initiatives.
3.3 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

Activities: Outputs:
4.1 Align data management initiatives to data strategies and business drivers.
  • Data management roadmap
4.2 Identify dependencies and priorities
  • Action plan
4.3 Build a data management roadmap (short and long term)
4.4 Create a communication plan
  • Communication plan
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