Develop and Implement a Data Management Strategy and Roadmap
Treat data as an asset, and gain a competitive advantage.
RETIRED CONTENT
Please note that the content on this page is retired. This content is not maintained and may contain information or links that are out of date.An ineffective or non-existent Data Management strategy and roadmap will lead to: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- Risk compliance violations from an outdated data model and practices.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- Reliance on a data architecture and system that is outdated and unable to support the business’s data analytic needs.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.
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.
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 |
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| 1.2 | Identify drivers for your project |
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| 1.3 | Select the domain of your project |
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| 1.4 | Identify stakeholders |
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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 |
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| 2.2 | Identify opportunities |
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| 2.3 | Conduct a Data Management review |
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| 2.4 | Complete a capability assessment |
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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 |
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| 3.2 | Identify priority gaps |
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| 3.3 | Select building blocks |
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| 3.4 | Design initiatives |
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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 |
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| 4.2 | Confirm alignment with the business |
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| 4.3 | Determine KPIs |
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| 4.4 | Create review process |
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