The ever-increasing computational capacity has enabled us to acquire, process and analyze larger data-sets and information. We increasingly want to take a data-driven lens to solve business problems. But business problems are inherently 'wicked in nature' - with multiple stakeholders, different problem definition, different solutions interdependence, constraints, amplifying loops etc.

There is no one trick to solve them. What is required is learning a structured approach to problem-solving that can be applied to a large set of these problems. One possible way is to use a Hypotheses Driven Approach - problems definition, scoping, issue identification and hypothesis generation - as a starting point for this. In this workshop, you will learn how to apply a hypothesis-driven approach to any business problem through seven pragmatic steps:

1. Frame
2. Acquire
3. Refine
4. Transform
5. Explore
6. Model
7. Insight

The focus will be to learn the principles through an applied case study and using an iterative and agile methodology.