Strategico is an engine for running statistical analysis over groups of time series. It can manage one or more groups (projects) of time series: by default, you can get data from a database or CSV files, normalize them, and then save them inside the engine. The first statistical analysis implemented inside Strategico is the "Long Term Prediction": it automatically finds the best model that fits each time series. Some of the models implemented are mean, trend, linear, exponential smoothing, and Arima. Strategico is scalable: the statistical analysis over each time series (of a project) can be run separately and independently. It is suggested that you set up an HPC Cluster (High Performance Computing) and/or use a resource scheduler like slurm. It is developed with R, one of the most famous statistical languages.
|Tags||GPL R Statistics Arima Exponential smoothing Long Term Prediction Time Series Forecasting Open Source Engine Cluster HPC Parallel Computing|
|Licenses||GPL v3 or later|
|Operating Systems||Cross Platform|
Release Notes: A new Web application with new features and a new layout using Bootstrap. Updated to the latest features of the LTP package. More reports (statistics, suspicious items, etc.).
Release Notes: Time series can be easily uploaded with a .csv file. The user can change LTP parameters via the Web.
Release Notes: Full Web console support was added. Project configuration files are now automatically generated. Full Web and dynamic reporting was implemented.
Release Notes: This release adds the naive model, a new Web console with Google (motion) charts.
Release Notes: All generated data can be saved to database: historical data, normalized data, predicted data, models comparisons, item summary, and more. A new command line console was added. A demo site is now available.