How to plan great explanations of a data science model for business management

Explaining data models and all the assumptions can be complicated, but there are ways to simplify details. Here are 5 tips on how to make simple explanations great.

No matter where you are in the data science journey, you will often hear about data but need to be made aware of how to best explain the ideas from it. This is especially tricky when working with managers who need to be made aware of the nuances of the data. Well, the best way to get the message across to those managers is to plan the explanation. Doing so highlights how to best illustrate the results of a model.

There’s a saying that the answers are often never as important as the right question. So, the step in planning a good explanation focuses on the right question that will drive discussions, insightful answers, and meaningful tasks.

Start with the audience needs

Identify what to prioritize and how it will be delivered. An audience is the most obvious starting point, but the purpose of a data model is to address or describe in answer to a question being posed. So, you need to think about how to best frame audience needs to help you plan your…