FORECASTS WITH TIME SERIES

The use of advanced statistical techniques in the forecasting process can bring benefits in all areas of the company. Traditional models use simplified historical analysis and insights from sales teams.
Time series models for financial forecasts allow executives to have a more accurate analysis of the possibility of growth of the company, improving targets definition; while production parts forecast increase the efficiency of the manufacturing process and customer service.

Solutions

Smoothing and ARIMA models generate more accurate mathematical equations for predictions based on company history. These techniques are used, for example, by government statistics institutes, in the analysis and projection of social and economic indicators.
The most advanced model ARIMA-X, allows to include external variables for correlation and adjustment of forecasts (GDP, Inflation,  Dollar, Industrial Production Index, Civil Construction Index, etc.).
Replace a model based on opinions and discussions without foundations, with a professional model that shows where your company can go.

Competitive Intelligence
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