A call center wants a forecast of next month's contact volume, while a separate team is explaining why last month spiked. How should an information-management practitioner separate those aims?
Select an answer to reveal the explanation.
Short Explanation
Forecasting next month is looking down the road; explaining last month's spike is looking in the rear-view mirror. Same call logs can feed both, but prediction and diagnosis are different jobs. Mixing them muddies methods and decisions.
Full Explanation
Predictive analytics estimates future values such as expected call volume, whereas diagnostic analytics investigates historical causes of observed spikes. Shared source data does not collapse those aims into one method or one deliverable. Using model coefficients as causal proof, or substituting vanity metrics, misaligns analysis with the decision each team needs.