Build a clear plan that connects data and AI to measurable outcomes.

A clear data strategy ensures that your data initiatives align with your business goals, making sure you get most out of your data, minimising waste, and driving you towards success.

Developing a data strategy usually takes about 4 weeks to 2 months, depending on how big your organisation is. Since it involves input from leadership and people across different teams, it can take a bit longer to coordinate everyone’s schedules. So, the overall timeline often depends on finding the right time for everyone to connect.

A data audit assesses the current state of your data, identifying risks and opportunities for improvement. It addresses key questions such as: Where do critical data assets reside? What is the quality of the data? How is it being shared and secured? Are there opportunities for automation? Conducting a data audit at least annually is essential for effective risk management.

A Fractional CDO offers senior-level expertise on-demand, guiding your data and AI initiatives to align with your broader strategy. They provide the strategic direction you need, ensuring you're on the right path, without the commitment of a full-time hire.

No, it depends where you are at in your data journey, if you are a large organisation and using data then you should have at least a data strategy, but if you are just starting out we think you should start small with a North Star Project. We explain this more in this blog post.

Absolutely! We’ve assisted numerous organisations with their data strategies. We offer a complimentary data workshop where we can review your existing strategy and provide tailored advice.

An AI strategy makes sure your AI initiatives align with your organisational goals and really deliver results. It covers the key elements you need, like data, talent, governance, processes, culture, and technology to make it all happen.