The challenge
Globally distributed sales, marketing and IT teams needed a single source of truth so they could analyze data consistently, stop duplicating it and centralize insight. That required enterprise data governance, better data quality across many datasets, security for sensitive data at scale, and standard reporting that still let advanced users build their own analysis without creating new silos.
What we did
Delivered by Logic Intelligence®, the team behind every Data Arcade package.
- Designed the solution architecture on Azure.
- Set up a data stewardship operating model, data quality monitors and cleansing standards.
- Built a central data dictionary of dataset definitions, sources, rules and calculations.
- Implemented security with entitlement groups and row-level restrictions.
- Created Power BI reporting templates and enterprise release practices with CI/CD.
- Put backup and restore practices in place to protect users during data issues or changes.
The solution
A cloud-based unified data analytics platform for very large data volumes and global use. Data lands in Azure storage, is processed with Databricks and Delta Lake, and is published as curated data products through Azure Synapse Analytics. Power BI apps deliver standard dashboards and shared datasets that super users can extend without copying data. Master data management keeps controlled updates to specialized datasets inside the governed platform, and release pipelines move Databricks and Power BI changes across environments.
Built with
- Microsoft Azure
- Azure Data Factory
- Azure Synapse Analytics
- Databricks
- Delta Lake
- Snowflake
- SQL Server
- Microsoft Fabric
- Power BI
- Power Automate
- Azure DevOps
- GitHub
Outcomes
What the client has now.
- One governed platform for accessing, analyzing and reporting on data across global teams, with less duplicated data and effort.
- Data stewardship ownership, a central data dictionary and ongoing quality monitoring as repeatable practices.
- Role- and region-based access that widened self-service analytics while protecting sensitive data.
- Power BI apps and managed release pipelines that made reporting more consistent and supportable.
Buy this as a package
The same kind of work, as a fixed-scope package with a published price range.