- Despite the growing focus on data, many organizations struggle to develop an effective strategy for their data assets. This is due to their intangible nature and varying use across the business.
- Data Management is a business process managed by IT. This creates a challenge for IT as it is required to create and manage complex systems of operations that link closely to integral business operations.
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.
- Have the business drive your Data Management project.
- It all starts and ends with Data Governance. At a minimum, invest in Data Governance initiatives.
Impact and Result
- Coordination between IT and the business will create a Data Management strategy that understands and satisfies the data requirements of the business.
- Data Management requirements and initiatives will be derived from the following: business goals and strategic plans, current capability assessments, business drivers for data, understanding of market and technology opportunities, and a clear understanding of the business’s drivers regarding data.
- Creating a clear Data Management Strategy and developing a roadmap of initiatives will allow IT to create a plan for how to bridge the gap between IT and the business and create a Data Management framework that supports the business’s immediate and long-term data requirements.
Workshop: Develop and Implement an Effective Data Management Strategy and Roadmap
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 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: 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
Identify pain points
- Business context
Identify drivers for your project
- Project charter
Select the domain of your project
- Project domain
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
Determine business requirements
- Business requirement list
Identify opportunities
- Identification of data-related opportunities
Conduct a Data Management review
- Current capabilities assessment
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
Create your Data Management strategy
- Creation of mission statement
Identify priority gaps
- Identification of priority gaps
Select building blocks
- Selected building blocks
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
Create your roadmap
- Roadmap
Confirm alignment with the business
- KPIs and metrics
Determine KPIs
- Review process
Create review process