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
Semantic governance
Unique definition of each metric and dimension with calculation, owner, and acceptance criteria.
Data ownership
Assigning owners to each data domain, with clear responsibilities for quality and usage.
Automated quality rules
Automatic monitoring of completeness, consistency, uniqueness, freshness and validity of data.
Data lineage
Visual documentation of the flow of data from source to consumption, including transformations.
Data Catalog
Accessible inventory of all datasets, tables, metrics, and their definitions for self-service.
Access Policies (RBAC)
Access control by role and data domain, with periodic review of permissions.
GDPR Compliance
Identification of personal data, registration of processing and technical protection measures.
Quality dashboards
Data quality monitoring dashboard with compliance indicators and alerts.
TECHNOLOGIES
- Microsoft SQL Server
- Microsoft Azure
- Power BI
- Microsoft Fabric
- Azure Synapse Analytics
FREQUENTLY ASKED QUESTIONS
Frequently asked questions about Data governance and quality
Dashboards and dashboards with Power BI
Design and development of interactive dashboards with Power BI: we connect your data sources, model the information and create clear dashboards with the KPIs that move your business.
Learn more →Data Integration and Modeling (ETL/ELT)
Extract, transform, and load data from your sources into a clean, consistent model. ETL/ELT with Azure Data Factory, Microsoft Fabric and open-source tools.
Learn more →Data warehouse and data architecture
Design and deploy data warehouses and modern data architectures with Microsoft Fabric, Azure Synapse, and SQL Server to centralize your insights and feed your analytics.
Learn more →Automated reports and KPIs
Automation of periodic reports and KPI monitoring with Power BI and Microsoft tools: distribution by email or Teams, alerts and subscriptions without manual intervention.
Learn more →Predictive and advanced analytics
Forecasting models with Python, machine learning, and Power BI to anticipate trends, demand, risk, and behaviors based on your historical data.
Learn more →Migration from Excel to Business Intelligence
We turn your Excel sheets into a professional BI environment with Power BI: automation, consistent data model, permissions, and removal of runaway versions.
Learn more →Power BI embedded in your apps
Integration of Power BI dashboards within your web applications, customer portals, and SaaS platforms with Power BI Embedded and per-tenant security.
Learn more →Power BI and data culture training
Hands-on in-company training in Power BI, DAX, data modeling, and data culture for your team to gain autonomy and make decisions based on reliable information.
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