Articulating the value of your data

Now, let’s look at how to effectively articulate the value of your data, and why that is important as we adopt data contracts.

As we discussed in the previous section, we’re explicitly asking the data generators to take on this new role and assigning them that responsibility. By doing this, we are moving the accountability for the quality of data left, upstream from the data engineers and their pipelines. This shift-left approach ensures data quality issues are addressed at source, by those who have the most knowledge of the data and the ability to change the data – the product teams.

If data consumers are going to ask our product teams to do more and incentivize them to do so, they need to be particularly good at articulating the value of our data, and the positive outcomes we are generating for the organization with that data.

This is why we are doing it. Why is it worth the investment in improving data quality? What...