A clear and well-defined strategy is crucial for leveraging data, analytics, and AI effectively. Organisations need to define their goals, identify the key business problems they want to solve, and align their data initiatives with broader organisational objectives. This includes developing a roadmap for data collection, analysis, and AI implementation, as well as establishing metrics to measure success that drive real business value.

Key questions businesses need to ask themselves:

• What are the business problems or opportunities we want to address with data and AI? Clearly defining the objectives and aligning them with broader organisational goals will guide the development of a data strategy that directly impacts the bottom line.
• How can we prioritise our data initiatives? Assessing the potential impact, feasibility, and resource requirements of different projects helps in prioritising initiatives and allocating resources effectively.
• How can I assess the success of an AI project? What are the metrics that matter to my business? How can I communicate that value in an accessible and digestible way to impact business change, uptake and support?

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