Although creating data science solutions is complex, compelling people to use data-driven predictions is extremely complex. Success of data science projects is defined by business improvements, not by creating models.

A business improvement is achieved when people change how they work. Because approaches to data science projects focus on data rather than people, the business may not use solutions created by data science teams. People change is a messy, feeling-driven process that calls for the use of non-technical techniques.

Entergy teaches simple tools and techniques to start using immediately that will help increase the adoption of your data analytics solutions.

Session Takeaways:

• Learn how success is defined by business change vs. technology.
• Learn tools to define what business improvements look like.
• Learn how to dialogue with business users to understand change.
• Learn how to create and implement a simple change plan in the beginning phases of your project vs. leaving it to the end.