DATA AND ANALYTICS PLATFORM

Microsoft Fabric

We design, migrate and run platforms on Microsoft Fabric: from licensing and capacity to the layered model, dashboards and governance with Purview.

Official partner Microsoft Azure

What we do with Microsoft Fabric

Architecture and capacity
Lakehouse or warehouse design, environments, capacity and cost control.
Migration
From Power BI, SAP BW or other platforms, without losing history.
Integration and model
Ingestion with pipelines and Spark, layered bronze, silver and gold model.
Governance and operations
Purview for the catalogue and AlmIA to monitor and rerun data loads.

Diversified business holding

Challenge: Reports spread across SAP R/3, SAP BusinessObjects, several ERPs and CRMs. Without a single analytics environment, there was no way to add advanced analytics or contain licensing costs.
Solution: Analysis of the reports, roadmap and management model; a new architecture, migration of the developments to a lakehouse in Fabric with integrity validation, auditing and load control, row- and column-level security for sensitive data, and data governance implemented on Azure with Purview.
Result: Centralised reports, lower licensing and development costs, an analytics layer for self-service and data services for third parties, and a foundation ready for machine learning.

Large local authority with its own data office

Challenge: From among the leading data governance tools on the market, the one that best fitted the client had to be selected to govern BigQuery and the dashboards, and to integrate the data governance tools available in the cloud.
Solution: Maturity assessment, requirements catalogue and weighted scoring matrix; ten tools evaluated with the vendors and cross-checked with Microsoft, Google and Anjana.
Result: Three finalists and a reasoned decision, reusable criteria, and compliance assessed against UNE 0077-0080, UNE 0085 and the EU AI Act.

Public body managing data from more than 200 organisations

Challenge: Fabric, SQL Server, AWS S3 and Purview coexisting, unmonitored loads, no guaranteed quality, and knowledge concentrated in suppliers that was lost with every turnover.
Solution: Maturity audit and target organisational model, phased roadmap, Purview with domains, data products and glossary, and AI accelerators to document the models.
Result: Documentation generated automatically with minimal supervision, owners and roles identified, a two-year roadmap and a self-sufficient technical team.

Diversified business holding

Challenge: The group's dashboards lived in SAP BusinessObjects on top of SAP R/3: expensive to maintain, slow to evolve and hard to combine with the rest of the group's data.
Solution: Migration of the reporting layer to the Microsoft Fabric ecosystem: load notebooks in PySpark and new Power BI dashboards, with semantic models and row- and column-level security.
Result: Power BI dashboards on the group's lakehouse, a single version of the data and a report catalogue that is easier to maintain and extend.

A first 30-minute conversation, no strings attached.