Multiple reports circulate with inconsistent metrics. The same metric has different values depending on who calculates it, meetings are spent reconciling figures, and decisions are delayed because there is no version everyone accepts.
Analytics & BI
A single version of the data for the entire organization
We design analytical models and dashboards that turn multiple information sources into consistent metrics shared across the organization.
Trusted by:
We are a Microsoft Top Partner
What happens when each department measures differently
Users depend on technical teams to obtain information. Every new query becomes a request in a queue, and business teams lose the autonomy to analyze their own operations.
Metrics require manual consolidation. Building a report involves exporting, combining, and adjusting data in spreadsheets, a slow and error-prone process that is repeated in every reporting cycle.
There is no up-to-date visibility into operations, and responses to events come too late. At the same time, the organization needs to measure results more accurately but lacks reliable metrics to do so.
How we implement analytics that people use
We assess your metrics and users, design the analytical model with KPIs and dimensions, build dashboards and reports, define criteria and standards for metrics, and train users so analytics becomes part of their daily work.
Unified visibility into metrics
Greater user autonomy
Up-to-date, consistent information
Shorter analysis times
Analytics needs assessment
We assess the metrics your organization uses and the users who consume them. Deliverable: metrics catalog.
Analytical model design
We define the KPIs and dimensions on which the analysis is built. Deliverable: semantic model.
Dashboard development
We develop the visualizations and reports required by each user profile. Deliverable: analytics portal.
Metrics governance and adoption
We define criteria and standards for each metric and train users. Deliverables: metrics dictionary and adoption plan.
Technology stack
Each technology plays a defined role: Power BI for information visualization and analysis, Microsoft Fabric for consolidating enterprise data, Azure Data Explorer for analyzing large volumes of data, and Azure Insights for monitoring and operational metrics.
How we work
Each implementation is delivered through the Possumus Adoption Framework, our four-stage adoption framework. This ensures that the work does not end when dashboards are published. It ends when users incorporate them into their decisions.
1
Prepare
We define the analysis objectives and assess metrics and users. This stage produces the metrics catalog.
2
Incorporate
We model the information in a semantic model and develop the dashboards and reports for the analytics portal.
3
Impact
We validate the dashboards with the users who will use them to confirm that they meet their information needs.
4
Scale
We consolidate adoption and metrics governance. This stage produces the metrics dictionary and adoption plan.
What your organization gains
A consistent analytical model, supported by metrics governance and user training, enables decisions across the organization to be based on the same information.
Decisions based on a unified view
Unified visibility into metrics improves decision-making for operations teams, analysts, and executives.
Users empowered to analyze
Greater user autonomy helps reduce dependence on technical teams.
Trust in data
Up-to-date, consistent information increases confidence in the data used to make decisions.
Faster analysis and better tracking
Shorter analysis times improve productivity, while better progress tracking supports business results.
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 work begins by organizing what is measured. During the analytics needs assessment, we review the metrics and users, producing a metrics catalog. We then design an analytical model with defined KPIs and dimensions, which is implemented as a shared semantic model. Finally, metrics governance defines criteria and standards for each metric and documents them in a metrics dictionary. This enables every department to work from the same definitions.
Make decisions with metrics recognized across the organization
Assess my metricsWe start with your current reports and users to define the analytical 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.