From Data To Profit

CHAPTER 1Overview of the Frameworks

Profiting from data, analytics, and more advanced models is complex without using frameworks. Costs rise too quickly for more than the simplest of initiatives to be feasible. Most businesses are just coming to terms with the big picture of what it takes to monetize data and AI, but I've worked with it for more than 11 years.

I developed the frameworks covered in this chapter to optimize the process of technical strategy and monetizing data and AI. There are layers to the challenges, and there are layers to the frameworks. Introducing them up front in Chapter 1 will help you to keep track of them and answer some of your questions before you ask them.

This chapter serves as a quick reference for each framework. As you get further along in the book, revisiting earlier frameworks will be useful. For example, continuous transformation will take on an expansive meaning the further you read. The technology model and opportunity discovery will grow increasingly critical over the course of the book. The need for business culture changes gains urgency once I explain the big picture and maturity models.

As you work to monetize data, analytics, and more advanced models, you'll encounter a range of challenges. That's when you should come back to the frameworks in this chapter. Where in the process is the challenge emerging? The answer to that question will point you to the appropriate framework. How can you implement a framework to overcome the challenge? ...