Build a Robust and Comprehensive Data Strategy
Key to building and fostering a data-driven culture.
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The absence of an enterprise data strategy leads to issues such as:
- The inability to effectively and strategically leverage the vast (and growing) volumes and varieties of data being ingested and collected by the organization.
- Dissatisfaction with and a lack trust in data from executives, key decision makers, and other data consumers.
- Data becoming a liability rather than the (corporate) asset it should be.
- A hasty response to changing demands, disruptors, and trends that results in a costly, ineffective, and piecemeal approach that misses the mark in delivering incremental value from the organization’s data assets.
A well-formulated and robust data strategy will:
- Serve as the mechanism for making high-quality and well-governed data readily available to fuel decision making, manage risk, meet regulatory and compliance requirements, and deliver on your organizational mandate.
- Allow you to go beyond platitudes such as “data is an asset” and get to actually treating, managing, and leveraging data as the strategic asset it is for gaining or maintaining your competitive edge and for supporting organizational innovation and transformation.
- Ensure that your data investments bring you the returns by meeting your organization’s strategic objectives.
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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.
Book NowModule 1: Establish Business Context and Value: Understand the Current Business Environment
The Purpose
- Establish the business context for the business strategy.
Key Benefits Achieved
- Substantiates the “why” of the data strategy.
- Highlights the organization’s goals, objectives, and strategic direction the data must align with.
| Activities: | Outputs: | |
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| 1.1 | Data Strategy 101 |
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| 1.2 | Intro to Tech’s Data Strategy Framework |
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| 1.3 | Data Strategy Value Proposition: Understand stakeholder’s strategic priorities and the alignment with data |
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| 1.4 | Discuss the importance of vision, mission, and guiding principles of the organization’s data strategy |
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| 1.5 | Understand the organization’s data culture – discuss Data Culture Survey results |
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| 1.6 | Examine Core Value Streams of Business Architecture |
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Module 2: Business-Data Needs Discovery: Key Business Stakeholder Interviews
The Purpose
- Build use cases of demonstrable value and understand the current environment.
Key Benefits Achieved
- An understanding of the current maturity level of key capabilities.
- Use cases that represent areas of concern and/or high value and therefore need to be addressed.
| Activities: | Outputs: | |
|---|---|---|
| 2.1 | Conduct key business stakeholder interviews to initiate the build of high-value business-data cases |
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Module 3: Understand the Current Data Environment & Practice: Analyze Data Capability and Practice Gaps and Develop Alignment Strategies
The Purpose
- Build out a future state plan that is aimed at filling prioritized gaps and that informs a scalable roadmap for moving forward on treating data as an asset.
Key Benefits Achieved
- A target state plan, formulated with input from key stakeholders, for addressing gaps and for maturing capabilities necessary to strategically manage data.
| Activities: | Outputs: | |
|---|---|---|
| 3.1 | Understand the current data environment: data capability assessment |
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| 3.2 | Understand the current data practice: key data roles, skill sets; operating model, organization structure |
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| 3.3 | Plan target state data environment and data practice |
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Module 4: Align Business Needs with Data Implications: Initiate Roadmap Planning and Strategy Formulation
The Purpose
- Consolidate business and data needs with consideration of external factors as well as internal barriers and enablers to the success of the data strategy. Bring all the outputs together for crafting a robust and comprehensive data strategy.
Key Benefits Achieved
- A consolidated view of business and data needs and the environment in which the data strategy will be operationalized.
- An analysis of the feasibility and potential risks to the success of the data strategy.
| Activities: | Outputs: | |
|---|---|---|
| 4.1 | Analyze gaps between current- and target-state |
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| 4.2 | Initiate initiative, milestone and RACI planning |
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| 4.3 | Working session with Data Strategy Owner |
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