Catch Errors Before They Happen with Data Checker in Einstein Prediction Builder

Don’t wait until you’re done setting up a prediction to find out you don’t have enough records in your dataset or that the prediction quality is low. Einstein can determine how many example records and how many true and false values you need to make a useful prediction. Use Data Checker to get this information as you go. Find out early on that you don’t have enough records in your filtered dataset so that you can adjust your segment or example filters, and then recheck your data.

Where: This change applies to Lightning Experience in Enterprise and Developer editions.

Who: This feature is available to admins with the Einstein Analytics Plus or Einstein Predictions license.

How: When you select the object that contains the field you want to predict, check your data to make sure that you have enough records. If you’re focusing your prediction on a segment of your data set, define that segment first before checking your data.

Check data on object

Check your data again when you select a field to predict and define your example set. If you’re predicting a field with true and false values, Data Checker also tells you whether your dataset has enough examples of each value.

If you get the green light to move forward, you have one more chance to check your data before building your prediction. If the Data Checker says you don’t have enough records, add data or modify your filter conditions.

Catch Errors Before They Happen with Data Checker in Einstein Prediction Builder

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