Predictive Analytics
Use historical data patterns to predict the future
Use historical data patterns to predict the future
Most companies still generate their forecasts using assumptions and human expectations. The quality of forecasts and, therefore, the quality of decisions based on these forecasts can be improved by using predictive analytics. Techniques as data mining, machine learning and artificial intelligence are used to predict future events.
Predictive analytics helps companies in leveraging the increasing amount of collected (big) data. By implementing these techniques, companies are able to anticipate more proactively on future risks and opportunities.
Enhance the use of historical data patterns instead of assumptions and human expectations to anticipate on future risks and opportunities quickly. Gain better insights!
Reduce manual activities by automating the forecast generation process and save valuable time and costs.
Identify internal and external business drivers out of the available (big) data and use these in calculating and comparing different what-if scenarios. Gain agility and better align operational business drivers with financial forecasting.
With quickly changing market conditions forecasts need to be updated constantly: using predictive analytics, the rolling forecast can be updated automatically at any moment in time without increasing the workload.
Cpmview is partner of SAP, OneStream, Power BI and Vena. Their well-known solutions offer sophisticated predictive analytics capabilities. Those capabilities are directly incorporated within the platforms integrating the predictive models with the existing planning processes automatically.
Enhance the use of historical data patterns to predict the future and generate a forecast by using predictive analytics.