WHAT WE DO
Validate your data initiatives
Fast iterations in your data journey
Whether you're just starting out or have a new idea for a use case, Dataminded helps you to validate your data initiatives in no time.
The fast approach to value
Adopting an iterative approach allows you to fully leverage your data. This means you should establish some initial use cases before building a full-fledged data platform, and focus on the operating model only when scaling requires it. Such an iterative journey permits you to make investments once value has been proven and enables you to learn along the way.
You can apply a fast approach to value at every stage of your data journey. Whether you are defining your data strategy or validating it, whether you are building your first use case or your tenth, quickly proving value and only then maturing the implementation will act as an accelerator and cost saver.
We strongly advise quickly and iteratively testing the waters while still defining your data strategy. The success of your data journey heavily depends on the sequence of your use cases. Many organizations aim for the stars immediately but never reach achieve lift-off. By selecting smaller use cases and avoiding initial complexity, you can convince internal stakeholders of the full potential and refine your data strategy.
How Dataminded helps you pilot use cases
Do you have a use case in mind or want to test your data strategy? We help you validate your idea through Proof Of Concepts and pilots, building only what you need for this validation.
After defining a data strategy, it is tempting to approach the process layer per layer: first building your data platform, then defining an operating model, before developing data products and eventually creating valuable applications. At Dataminded, we help you identify and implement the minimum necessary to deliver each use case at every stage of your journey, all while building up to your larger ambitions. This doesn’t mean cutting corners; it means gradually maturing your data landscape while continuously adding value.
If you have a list of future use cases, we can help you prioritize them in a logical order to mature your platform and operating model as you progress. Even if you have just one use case—whether it’s your first or tenth—we identify opportunities to gradually enhance your maturity while balancing implementation with the time-to-value of that use case. Last but not least, we will help you define what success looks like and how to measure the impact of your pilot use case. Building data use cases should always be completed data-minded.
