It is a computation tool to analyze data series and to obtain forecasts from historical data. ITALOG-Forecasting is useful to:
- Process big amount of data.
- Make statistical analysis.
- Model a big number of data sets.
- Make estimates.
- Make method benchmarking.
- Measure the error of estimates with different metrics.
- Select the best forecast data basing on indicators.
Our expertise covers forecasting and multiple variable analysis with the following scope:
- Different industries: Distribution, automotive, food…
- Different methods: Dynamic Regresssion, ARIMA, neural networks, decomposition techniques…
- Management of hundreds of variables.
- Annual, monthly, daily and hourly forecasts.
- Different forecasting horizons
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