A Data Strategy defines what data is most valuable to you and how you’ll leverage it in the context of your business. A Data Management Strategy describes how you’ll manage that data as it moves through your business functions, departments and teams.
Define your vision for using your most valuable data
Define your approach for managing your most important data
Identify your highest priority and most beneficial activities
Create a living document that evolves as your needs change
Make it real by establishing processes and ways of working
We know how Data Management activities can be hampered when the ultimate goal and direction of travel aren’t clear – or perhaps once were, but now sit on a shelf gathering dust! We advocate living Strategies that are meaningful and usable.
We understand the difficulties of agreeing on a vision
We know how to capture the right level of detail
We focus on realistic, sustainable outcomes that add value
We ensure the approach aligns to business objectives
We encourage managed online content over static artefacts
Does your organisation use or generate a lot of data? Does the sheer volume and complexity of it all feel a little overwhelming? We can help you set out how you’ll derive value from your data.
Do you find that managing data without a Strategy in place is difficult, time-consuming or expensive? We can help you define your approach so you manage your data more efficiently.
If you already have a Data or Data Management Strategy, are you getting the benefit you hoped for? We can review your Strategy and develop a practical plan for getting you back on track.
Wherever you are with your Data or Data Management Strategy, we can support you. Whether you need high-level one-off advice or regular ongoing guidance, we can help you define & deliver your vision.
A Big 4 UK Bank had launched a three-year strategic transformation programme, but without a thorough understanding of their data needs, nor a clear strategy for how data would be managed across the bank to realise long term, sustainable value.
The Chief Data Officer needed to define how the bank would manage its data efficiently and effectively, by prioritising their most important data assets.
Supported the collation of strategic requirements from each business area
Defined an ambitious but achievable target state and interim transition states
Supported the integration of the strategy milestones into roadmaps and plans
Aligned activities with the bank’s DCAM model, to enable execution to be tracked
A solid foundation for the three-year program transforming the bank
Strategic activities linked to multi-year DCAM targets
Do drop us a line if you’re looking for help with your Data Strategy, we’re always happy to have a chat.