BUSINESS INTELLIGENCE
Data governance and quality for reliable decision-making
We implement data governance and quality controls so that your information is reliable, consistent, secure, and reliable throughout the organization.
What is Data governance and quality?
There is no point in having a lot of data if no one trusts it. Duplicate data, different definitions of the same KPI, incomplete fields or uncontrolled access undermine trust and lead to bad decisions. The government and the quality of the data solve this at the root.
We establish a data governance framework tailored to your organization: common definitions (a single meaning for each KPI), data catalog, quality rules, validation controls, access management, and roles (data owners and managers). We also apply quality monitoring to detect and correct problems on an ongoing basis.
The result is information you can trust: consistent across areas, quality-measured and controlled, secure and well-documented, as a reliable basis for all your business intelligence and decisions.
FEATURES
Features of Data governance and quality
Data Catalog
Inventory and documentation of data and its meaning in the organization.
Definitions and KPI dictionary
A single meaning for each indicator, common to all areas.
Quality rules
Validations of completeness, consistency and accuracy of the data.
Access and role management
Data owners and managers with defined permissions.
Quality monitoring
Continuous detection of data issues with alerts and dashboards.
Traceability (lineage)
Monitoring of the origin and transformations of each piece of data.
TECHNOLOGIES
- Microsoft SQL Server
- Microsoft Azure
- Power BI
- Microsoft Fabric
- Azure Synapse Analytics
FREQUENTLY ASKED QUESTIONS