No one can verify where the information being used comes from. When a report or model produces an unexpected result, tracing the data back to its source takes days, and limited traceability complicates any audit.
Data Governance
Trusted data for audits, analytics, and AI
Implement data governance with visibility into the origin, use, and ownership of information to reduce risk and enable analytics and AI initiatives.
Trusted by:
We are a Microsoft Top Partner
What happens when data is not governed
Metrics are defined inconsistently across departments. Each team calculates them differently, the numbers do not match, and disagreements over which figure is correct create conflicts that delay decisions.
Data owners are not clearly defined. When data is incomplete or incorrect, it is unclear who should correct it, and the lack of accountability allows quality issues to persist.
Regulatory requirements are increasing and demand formal controls that do not currently exist. At the same time, the organization is looking to advance AI and analytics initiatives, which require trusted, high-quality, governed data.
How we enable data governance
We assess your current processes and controls, design a governance model with roles and policies, register data assets with cataloging and lineage, establish quality controls, and support the organization in embedding governance into its daily operations.
Greater information traceability
Better data quality
Clearly defined responsibilities
Stronger regulatory compliance
Current governance assessment
We assess the processes and controls your organization currently applies to data. Deliverable: maturity analysis.
Governance model design
We define the roles and policies that establish accountability for information. Deliverable: target model.
Cataloging, lineage, and quality controls
We register data assets and establish quality metrics and validations. Deliverables: enterprise catalog and quality framework.
Organizational adoption
We train and support teams so that policies and roles are applied in their daily work. Deliverable: governance plan.
Technology stack
Each technology plays a defined role: Microsoft Purview for the data catalog, lineage, and governance; Microsoft Fabric for integrating information assets; and Azure to support storage and access control.
How we work
Each governance initiative is delivered through the Possumus Adoption Framework, our four-stage adoption framework. This ensures that the work does not end when the catalog is implemented. It ends when roles, policies, and controls become part of operations.
1
Prepare
We assess the maturity of your current data governance, processes, and controls. This stage produces the maturity analysis.
2
Incorporate
We design the governance model with roles and policies and implement cataloging and lineage capabilities in the enterprise catalog.
3
Impact
We define quality controls, with metrics and validations that make it possible to measure the state of the information. This stage produces the quality framework.
4
Scale
We consolidate governance adoption through training, support, and continuous improvement. This stage produces the governance plan.
What your organization gains
Data governance embedded into operations builds a solid foundation for analytics and AI and helps accelerate those initiatives with trusted data.
Audit-ready information
Greater information traceability facilitates audits and makes it easier to reconstruct the origin of each data point.
More trusted data
Better data quality increases the reliability of the information used across departments.
Management with clear ownership
Clearly defined data responsibilities improve data management.
Lower regulatory risk
Stronger regulatory compliance, supported by formal controls, helps reduce regulatory risk.
Why Companies Choose Possumus
Proven Expertise Across the Microsoft Ecosystem
Our specialization as a Microsoft Solutions Partner demonstrates our ability to design and implement solutions that integrate with each organization’s technology ecosystem.
Engineering Integrated with Adoption
We combine engineering and adoption from the start so technology is not only implemented, but also incorporated into operations, used, and continuously evolved over time.
A holistic view of technology
We connect AI, data, security, software, and cloud under a single vision, avoiding isolated solutions and reducing technology fragmentation.
Audited Management Processes
Our operations are supported by processes audited under ISO 9001.
Frequently asked questions
The service enables four capabilities: cataloging, classification, lineage, and access control. Together, they provide visibility into where information comes from, how it is used, and who is responsible for it. On that basis, roles and policies are defined in a governance model, data assets are registered in an enterprise catalog, and quality controls are established with metrics and validations.
Govern your data to make decisions, meet requirements, and scale AI with confidence
Assess my data governanceWe start with a maturity assessment of your current governance to define the model your organization needs.
We Are a Microsoft Solutions Partner
We hold designations across all Microsoft Cloud solution areas.
Microsoft Cloud
6 Specializations
- Adoption and Change Management
- Custom Solutions for Microsoft Teams
- Meetings and Meeting Rooms for Microsoft Teams
- Secure AI Productivity
- Microsoft 365 Copilot
- Analytics on Microsoft Azure
3 Specializations
- Identity and Access Management
- Threat Protection
- Microsoft 365 Copilot
4 Specializations
- Analytics on Microsoft Azure
- Agentic DevOps with Microsoft Azure and GitHub
- Infra and Database Migration
- Azure Virtual Desktop
Top
0.1%
Superior of Microsoft Partner companies
170
Team Certifications
Let's Get In Touch
Schedule a Call
Federico Tagliani
Managing Director
Our work doesn’t end with implementation. We make sure the technology is adopted and delivers results.