Einstein Discovery and its stories are the hidden and powerful gem of Einstein Analytics. My feeling is a lot of companies have licenses to create stories but do not know how to go about it. On this page, I have collected a series of blogs to help you to understand what Einstein Discovery is, what you can do with the tool and how to get started.
This work has not been possible without a list of people that have contributed content and feedback. So thanks to Olfa Kharrat, Colin Linsky and Randy Sherwood.
From planning to deployment
What are Einstein Analytics Stories and when would you use them?: understand what Einstein Analytics stories are including the benefits and possibilities.
What kind of questions can Einstein Analytics Stories answer?: understand how to formulate your business questions for predictive purposes.
Staying focused – Using a methodology to organize your thoughts and project activities: understand how the steps in an Einstein Discovery project and how to create a good use case.
Finding great example outcomes of the good and bad decisions – Building a modeling dataset (coming soon)
Helping guide where to look for patterns in your data – Using and refining Story setup (coming soon)
Understanding what Einstein Analytics has found in your data – Interpreting your Story (coming soon)
Getting your Return on Investment – Deploying Einstein Analytics Stories to Salesforce users (coming soon)
(coming soon) Keeping up-to-date – Using Einstein Analytics Model Manager to stay on top of your Predictive Models
How good is my model really: understand how to evaluate if your predictive model is good.
Take your Einstein Discovery model from good to great: understand how what options you have to improve your model.