When you know your data well, you can use the Watson Analytics predict feature as a kind of shortcut to analytic insights. You use data that you have already uploaded for your prediction, which is different from an exploration. To learn about exploration, see the “Exploring data with Watson Analytics: A quick start blog,” which you can also find here in the Watson Analytics Community.
Here’s how you can use your data to create predictions.
1. Log in to Watson Analytics. From the Welcome page, click Predict.
2. From the data selection page that opens, select the set of data you want to use by clicking its name.
3. When the Create a Prediction page appears, you see that Watson Analytics has taken your source data and provided you with suggested targets. In this example, the target is churn. You can have up to 5 targets. You can also edit the target fields (for example, adding labels). After you make any changes or if you are satisfied with the suggested target, enter a name for your workbook at the top and click Create Prediction.
4. Watson Analytics builds a prediction workbook by automatically running thousands of algorithms to find the right model and likely predictors.
5. After the workbook is created, Watson Analytics launches a page with a spiral graph and relevant predictors.
6. This is where it gets fun. Click through the predictor level chooser to see what other fields affect your target and look at the results in the visualization tiles to the right. Or add fields to create a combination model, which enables you to drill into the rules behind a decision, and navigate down into the aspects of the decision.
And that’s it. The fastest way to start using Watson Analytics to predict and explain the meaning behind the data. For more tutorials, browse the Watson Analytics Community.