Business leaders need to plan carefully to deliver ROI using operational analytics, and equipping end users with the data they need, as well as clear instructions on what to do with it. As a first step to achieve business goals, organizations need to understand the ways to measure the results of data projects. Next, organizations need to work closely with the domain team such as sales or marketing, which are served with their data. It’s important to have an agreement or partnership in place so each team understands what the process will be, and which action they have to take.
This requires a ‘data as a product’ mindset, in which the analytical data set produced should be treated as a product. Applying product thinking to data can help improve discoverability, accessibility and usefulness. Another important part is decentralizing the ownership of data, and freeing it from being the ‘property’ of one central data team. One way to do this is through data mesh, a decentralized ‘self-serve’ approach to delivering data through an organization. That’s not possible for every company, though, as it requires a fairly large amount of resources and buy-in.
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