Prerequisites

• SoftExpert Performance among the solutions acquired by your organization.
• Access to the Predictive analysis (DL001) menu.

Introduction

KPI forecasting applies time series techniques, machine learning, and statistics to project future values ​​of performance indicators, which allows for anticipating scenarios and adjusting strategies beforehand.

Twenty-eight time series algorithms are executed automatically, calculating four error metrics (MAE, RMSE, MSE, and MAPE) for each one of them and classifying the 10 most accurate ones to highlight the winning model with its projections ready to use right away. This process does not require manual adjustments, offering statistically reliable results even to users without advanced knowledge in data science.

Historical data is obtained directly from SoftExpert Performance or Excel spreadsheets, ensuring flexibility in the origin of the series and continuous updating of the analyses.

KPI forecasting analysis

Watch the video below and learn how to perform a KPI forecasting analysis.

Conclusion

Thus, KPI forecasting analysis is performed through SoftExpert Data Lab in order to anticipate scenarios and adjust strategies.