Collection of the customer’s data status. Standard definition, policies and procedures to determine use, development, life cycle and data administration.
Database migration, connector development, data cleansing, extraction, transformation and loading tasks.
Synergy between people, data sources and systems to centralize the information in a warehouse, with the certainty of the data to comply with the organizational metrics.
Creation of analytic models to improve sales, service, training and customer retention in order to promptly detect frauds and abnormal behaviors to prevent information leaks.
Availability of a complete team of data science or data engineering. Each analytical cell is capable of attending to a project at the same time delivering value continuously.
Increase your income and improve your productivity