Demand prediction through data mining.
The existence of rich databases and the underutilization of hidden sciences in these resources are among the challenges in operational structures in our country. Data mining, as a scientific solution for extracting knowledge from data stacks, can significantly impact improving operational processes and reducing associated costs. The Rahyaft system, using algorithms well-established in the field of prediction, enables the recognition of data behavior in various domains.
The capability to perform predictive calculations for various time intervals (hourly, daily, etc.).
Capability to define parameters for factors influencing an event.
Capability to define algorithms and compare their results.
Prediction and comparison with the actual status of a parameter.
Capability to detect and fill missing data in the data stack.
Learning and adaptation to operational conditions over time.
Identification of outliers in data and their removal.
