Do you have enough data for predictive analytics? An honest check

The honest check

Predictive analytics needs enough clean history to learn a pattern. If you have a year or two of consistent data on the thing you want to forecast, you're likely ready; if your data is sparse or messy, fix that first.

Good candidates

• —Demand and inventory forecasting.
• —Churn and risk prediction.
• —Anything with a repeating, data-backed pattern.

We'll assess your data honestly and tell you if you're not there yet. Describe what you want to predict.