CEMIG
Contact: Thiago Antunes Moreira
Country: Brazil
Award Category: Innovative Problem Solver
Tell us about the business problem you were trying to solve.
Validation of revenue projection of investment projects in Electricity Transmission, with the creation of standardized economic and financial metrics and the use of models based on machine learning methods. To this end, it is expected to increase the accuracy of the revenue projections of these investments and the consistency of the calculation of the profitability of the projects.
What SAS products did you use and how did you use them?
"SAS Enterprise Guide" for query buildings and "SAS Enterprise Miner" for predictions by using neural networs models.
What were the results or outcomes?
Acurate revenue predictions of investiment projects in Eletricity Transmission.
Why is this approach innovative?
Simplification and gain of scale in the revenue projection process. Increased accuracy of revenue forecasts. Potential for reuse of the method for other forecasting processes.
