We work with each client to design a strategy aligned with their objectives across all areas:

1. Data ingestion, for the systematic collection of information from various systems: corporate information systems, IoT devices, etc.
2. Data transformation, converting the collected data into a standardized format that can be transferred to other systems for processing (Normalization, ETL, etc.).
3. Data storage, defining the appropriate model to ensure the strategy for data collection, processing, querying, and analysis is fulfilled.
4. Data products to help the organization improve its decision-making and processes (BI, Data APIs, models, etc.).
5. Data observability, to help understand the state of a system based on the observed outcomes.
6. Data governance: methodologies, tools, and support to ensure the reliability, quality, availability, and security of data throughout its entire lifecycle.