The current platform has scalability limitations. As data volumes and the number of users grow, performance declines and the infrastructure becomes a risk to business growth.
Data Platform Modernization
Modernize your data to scale analytics and AI
We modernize legacy data platforms with cloud architectures and a phased migration. We consolidate storage, processing, and integration to improve scalability and availability and enable advanced analytics, AI, and enterprise applications.
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What happens when your data platform falls behind
Operating and maintenance costs are high. A significant portion of the data budget goes toward sustaining the existing platform, reducing efficiency and limiting investment in new capabilities.
The platform relies on outdated technologies. Every upgrade is complex, the expertise required to maintain it is scarce, and technology risk increases over time.
Implementing AI and advanced analytics on the current platform is complex, and processing times do not meet business needs. Information reaches decision-makers too late, and innovation initiatives are constrained by the infrastructure.
How we modernize your data platform
We assess your current platform to identify gaps and dependencies, design the target architecture, migrate data and workloads in phases, update components and flows, and define the standards and operating model for the new platform.
Current platform assessment
We identify the gaps and dependencies in your data platform. Deliverable: modernization report.
Target architecture design
We define the future platform using cloud architectures. Deliverable: target architecture.
Migration and optimization
We migrate data and workloads in phases and update components and flows. Deliverables: migrated environment and optimized platform.
Operational governance
We define the standards and operating model for the modernized platform. Deliverable: operating model.
Technology stack
Each technology plays a defined role: Microsoft Fabric as an integrated modern data platform, Databricks for distributed processing and advanced analytics, Power BI for consuming modernized information, and Azure as scalable infrastructure for operations.
How we work
Each modernization initiative is delivered through the Possumus Adoption Framework, our four-stage adoption framework. This ensures that the work does not end once the data has been migrated. It continues with platform operations and evolution.
1
Prepare
We assess your current platform, including its gaps and dependencies. This stage produces the modernization report.
2
Incorporate
We design the target architecture and migrate data and workloads in phases. This stage produces the target architecture and migrated environment.
3
Impact
We optimize and validate the platform by updating components and flows. This stage produces the optimized platform.
4
Scale
We operate and evolve the platform according to the standards defined in the operating model.
What your organization gains
A data platform modernized with cloud architectures stops being a constraint and becomes the foundation for advanced analytics, AI, and enterprise applications.
A platform that supports growth
Greater scalability supports growth in the business and in data volumes.
More efficient operations
Lower operating costs help improve financial efficiency.
Information available when needed
Better platform performance and availability increase the productivity of those who consume the information.
A foundation ready for innovation
Readiness for AI and advanced analytics enables new initiatives, while reduced technical debt simplifies future evolution.

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 most common signs are scalability limitations that put growth at risk, high operating and maintenance costs, reliance on outdated technologies, difficulty implementing AI and advanced analytics, and processing times that do not meet business needs. If your organization recognizes several of these situations, the starting point is an assessment of your current platform.
Turn your data platform into the foundation for analytics and AI
Assess my data platformWe start with an assessment of your current platform to define the target architecture and modernization path.
We Are a Microsoft Solutions Partner
We hold designations across all Microsoft Cloud solution areas.
Microsoft Cloud
- 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
- Identity and Access Management
- Threat Protection
- Microsoft 365 Copilot
- Analytics on Microsoft Azure
- Agentic DevOps with Microsoft Azure and GitHub
- Infra and Database Migration
- Azure Virtual Desktop
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Federico Tagliani
Managing Director
Our work doesn’t end with implementation. We make sure the technology is adopted and delivers results.