Internal oversight (foundational): Practices that ensure acceptable use of data by employees usually begin with establishing data ownership; training employees about laws, regulations, and organizational policy; setting up data access approval processes; and auditing employee data access. • External oversight (intermediate): Practices that ensure

they require the least effort to launch.

In many companies, any business unit has the autonomy to hire a firm to [help them] grab data, toss it in a data store of their choice, and slap an individual use case on top of it. This happens over and over and over. It takes a different mindset and approach to build capabilities for consistency across a variety of use cases. —Brandon Hootman,

The name of each strategy archetype sums up its distinct data monetization vision; it conveys why you monetize. Each archetype reflects different bottom-line financial priorities.

Don’t discount the big bottom-line impacts that can come from adjusting and standardizing to new, better ways of work!

Data assets are built to be monetized.

Capabilities are often built to serve the needs of a particular initiative.

Teams are free to focus on the specifics of their initiative: managing stakeholders, developing the team, and training models.

We plan to distribute and discuss this book across our organizations, coach others in the easy-to-use frameworks, and inspire our people to participate in data monetization to