How to Identify and Prioritise Data Use Cases

In the process of developing a data strategy, the theoretical plan must quickly translate into tangible business benefits. This translation happens through the identification and prioritisation of specific data use cases. A successful strategy ensures that investments are focused on initiatives that deliver the greatest business impact and competitive advantage.

Based on best practice in data strategy development, here are the core mechanisms for identifying, securing support for, and prioritising data use cases.

Use Case Identification Mechanism

The identification of use cases is fundamental to linking the data strategy to real-world outcomes.

1. Defining Focus Areas: The overall data strategy must define Focus Areas, which represent a prioritised set of use cases that address critical business activities and opportunities across the organisation. These focus areas are derived from the overall business goals & priorities.
2. Addressing Business Drivers: The identified use cases must deliver measurable outcomes (the "so what"). These outcomes typically cover key business drivers such as:
   • Revenue Growth
   • Cost Efficiency
   • Value Generation
   • Customer Satisfaction
   • Risk Mitigation
3. The Value Map Artefact: An essential artefact in the strategy documentation is the Value Map. This is a Prioritized list of business use cases that includes the estimated impact (in terms of revenue, cost, risk, or experience).
4. AI Use Cases: For organisations specifically leveraging advanced technologies, the strategy must include an AI Capability Map, which is an inventory of required capabilities mapped specifically to business use cases.

Stakeholder Involvement

To ensure the strategy is robust and aligned, the needs and commitment of various groups must be secured from the start.

1. Foundational Requirement: Stakeholder Needs are one of the four foundational elements upon which every impactful strategy must be built. Without addressing these, the strategy is likely to fail.
2. Required Artefacts: Successful strategy development requires documenting both Leadership Commitment and Stakeholder Requirements.
3. Involving Non-Technical Resources: A critical component of the strategy is achieving Business engagement from non-technical resources.
4. Change Management: Engagement and involvement continue through implementation via the Change Management Plan, which includes the communication strategy, stakeholder engagement, and adoption metrics.

Getting Executive Buy-in and Prioritisation

Securing support from leadership is not optional; it is a prerequisite for execution and funding. The subsequent prioritisation ensures limited resources are targeted for maximum impact.

Getting Executive Buy-in

• Executive Sponsorship is Critical: Executive Sponsorship is a critical element of the solid foundation required for an impactful strategy; without it, the strategy is likely to fail.
• Formal Alignment: The strategy must achieve and document Stakeholder Alignment, specifically buy-in from C-suite and key business leaders.
• The Charter: The formal Charter document is necessary for securing commitment, as it includes the strategy’s Vision, Business case, Goals, Guiding principles, and Measures of success.
• Accountability: The Strategic Objectives Document ensures commitment by defining the Roles, organisations, and individual leaders accountable for achieving these objectives.

Prioritisation Mechanism

Since an organisation "can’t do everything at once", the implementation roadmap focuses on sequencing the most critical initiatives:

1. Focus on Strategic Bets: The strategy should focus on 2-3 strategic bets for the next 12 to 18 months.
2. Balancing Investments: When defining these bets, it is necessary to Balance quick wins with foundational investments.
3. Sequencing: Initiatives must be sequenced based on dependencies and organisational readiness.
4. Prioritisation Methods: Organisations should choose the right tool for their context. Available prioritisation methods include:
   • RICE Score
   • MoSCoW
   • Value v Effort
   • ICE Score
   • Kano Model
   • Weighted Scoring
   • Opportunity Scoring

This structured approach, moving from identifying business-critical Focus Areas, securing Executive Sponsorship, and then rigorously Prioritising initiatives using established frameworks, transforms a conceptual plan into an actionable roadmap that ensures continuous value delivery.

Developing a data strategy is much like designing a complex infrastructure project. You must first engage all community members and regulators (Stakeholders) to determine where the road needs to go (Use Cases). Then, you must secure the support of the council (Executive Buy-in). Finally, you Prioritise the work, ensuring you balance highly visible quick fixes (like repairing potholes) with essential foundational investments (like laying a new, high-capacity pipeline).

‍