TripleAlpha's activity is mainly based on 2 pillars:
Data collection and aggregation: Design and preparation of the necessary architecture for data collection, storage and management. On premises or in the cloud. Treatment and preparation of the data (cleaning, traceability and integrity of the data), as well as enrichment of the information incorporating data from internal and/or external sources.
Data analysis: Using advanced statistical techniques, Business Intelligence and/or Machine Learning:
Predictive-prescriptive system in real time: Analysis of the operational parameters in real time to predict the final result of the product and prescribe the actions to be carried out to optimize the results.
Predictive system for simulation of results: Development of a mathematical model that allows making predictions and simulating the result of a certain process, depending on the input variables entered into the system.
Dynamic or operational reports: Real-time monitoring of operational parameters and visualization of KPI's to speed up decision-making.
Descriptive reports: Analysis of historical data to obtain KPIs that help improve decision-making at a tactical and/or strategic level.