Predictive Analytics
Predictive analytics uses your historical data to estimate what is likely to happen next, such as demand, late payments or churn. InnolyticAI cleans and maps your data, builds and tests a model against past results, and delivers forecasts in a form your team can act on and question.
What it does
Data mapping
Unstructured and scattered data is cleaned and mapped to the questions you need answered.
Forecasts you can check
Models are tested against your past results before anyone relies on them.
Plain reporting
Results arrive as reports and alerts your team already reads.
Common questions
What data do I need?
Enough history of the thing you want to forecast, such as sales, enquiries or payments, with dates. We assess your data first and tell you if it is enough.
How accurate is it?
Accuracy depends on the quality and history of your data. Every model is tested on past results before use, and we share that test with you.
How often is it updated?
As often as your data changes and the decision needs it, from daily to monthly. This is agreed during scoping.
Have a process you want to automate?
Tell us how the work runs today. We will reply with the next step and a quote in RM.