Build a shared data foundation

Your data is spread across ERP and CRM systems, business applications, equipment and files. Bringing it together, understanding its origins and agreeing on shared definitions helps you produce consistent indicators and reduce manual extraction.

Altodia helps you design a data platform that fits your volumes, use cases and operating constraints. We start with your teams’ needs to define which data to collect, the quality required and the right update frequency.

Our Big Data services

Data strategy and architecture — map sources, prioritize use cases and choose a data warehouse, data lake or lakehouse architecture. Clear ownership, potentially organized through a data mesh approach, complements the technical choices.
Collection and integration — connect business sources, IoT streams and application logs; build batch or streaming ETL/ELT pipelines according to the need.
Quality and traceability — define validation rules, track transformations and establish a catalog, glossary and data owners.
Analytics and reporting — prepare shared datasets and indicators for reporting, dashboards and self-service analysis.
Governance and security — organize access rights, classification and retention periods with your business, IT and compliance teams.
Operations and cost control — monitor pipelines, handle incidents and align storage and processing with actual needs.

Practical applications

Unify commercial and operational data so departments work with the same indicators.
Refresh dashboards at the frequency decisions require.
Make data available to analysts and applications through documented interfaces.
Prepare reliable datasets for future artificial intelligence projects.

Make progress measurable

We start with a defined set of sources and users. Data quality, availability, analysis preparation time and processing costs help measure progress before the platform expands.

Ready to develop forecasting, classification or recommendation models? Explore our artificial intelligence services.

Let’s discuss your data platform and the first use case to simplify.