A huge mistake we see companies make regarding data contracts is believing that implementing them requires numerous components and high upfront costs to achieve value. This makes the process seem overwhelming and a hard sell to their leadership. This is often the result of anchoring on the end state rather than seeing the various small wins you can make in implementing various components of data contracts over time. The diagram below, from the upcoming book on the topic, highlights the various building blocks and stages of maturity when implementing data contracts. Even if your organization implements only a fraction of these building blocks, you will receive value from each step in the journey. Furthermore, companies already quite mature in their data processes will often have many of these building blocks implemented individually, and thus, it's just connecting these blocks together. What do you believe are the most critical building blocks below? #data #AI