Success stories

Predictive and recommendation engine based on Machine Learning

Artificial Intelligence Project
Python, Machine Learning, APIs, analytics integration
Customer:Tourism / Retail
Challenge
Identify behavioral patterns and anticipate purchasing decisions to optimize commercial actions.
Solution
Development of Machine Learning models integrated into operational processes and analytical dashboards.
Results
Improved conversion rates, more efficient campaigns, and decisions based on prediction rather than just historical data.

Report automation with generative AI

Artificial Intelligence Project
Azure Functions, Python, .NET, Generative AI Models (LLM), Power BI
Customer:Education/Services
Challenge
Reduce the time spent on manually writing reports and ensure consistency and quality in the content.
Solution
Implementation of a system based on generative AI that creates customized reports from structured data and free text.
Results
Significant time savings, standardization of language, and improvement of the end-user experience.

Corporate analytical model and roadmap towards Microsoft Fabric

Power BI, semantic modeling, Microsoft Fabric roadmap
Customer:Food Retail / Distribution
Challenge
Integrate large volumes of data from ERP, sales, e-commerce, and logistics while maintaining performance and governance.
Solution
Design of an optimized semantic analytical model and definition of a clear roadmap towards a Lakehouse architecture in Fabric.
Results
Better analytical performance, greater scalability, and a platform ready for data growth.

BI architecture and readiness for Microsoft Fabric

Power BI, Dataflows L1/L2, Microsoft Fabric, OneLake, Lakehouse, DAX governance
Customer:Premium automotive / Distribution networks
Challenge
Standardize KPIs and data models in a complex BI environment and prepare the organization for a technological leap to Fabric.
Solution
Definition of the corporate BI framework, governance of the semantic model, and design of the target architecture in Microsoft Fabric.
Results
Robust analytical model, homogeneous KPIs, and planned migration to Fabric without impact on the business.

Comprehensive analytics platform in Microsoft Fabric

Microsoft Fabric (OneLake, Data Pipelines, Dataflows, Notebooks), Power BI
Customer:Professional services / Architecture
Challenge
Unify information from multiple internal systems and have a global view of sales, operations and finance.
Solution
Full implementation of Microsoft Fabric as an enterprise analytics platform, with automated ingestion, unified model, and executive dashboards.
Results
End-to-end business visibility and a ready foundation for incorporating AI and document analytics.

Analytical repository of reservations in Microsoft Fabric

Microsoft Fabric (Dataflows Gen2, OneLake), Power BI
Customer:Culture / Museums
Challenge
To have consolidated and reliable information on bookings, attendance and prices from external sources via API.
Solution
Daily data extraction, consolidation in OneLake and definition of key KPIs using an analytical model in Fabric.
Results
Greater control over activity, analysis of visit patterns, and support for pricing and planning decisions.

Analytical migration and modernization with Microsoft Fabric

Microsoft Fabric (Lakehouse, Warehouse), OneLake, Power BI, Python Notebooks
Customer:Hospitality
Challenge
Modernize the existing analytics platform and scale operational and energy data analysis for multiple hotels and user profiles.
Solution
Ingestion and consolidation of PMS, operations and energy data in OneLake, with development of governed tactical and corporate dashboards.
Results
Unified analytics platform, reduction of information silos and improvement in operational and strategic decision-making.

Enterprise analytics platform on Microsoft Fabric

Microsoft Fabric, OneLake, Lakehouse, Power BI
Customer:Pharma / Manufacturing
Challenge
Consolidate scattered operational and financial data and create a scalable, governed corporate analytics foundation ready for advanced use cases.
Solution
Design and implementation of a Lakehouse architecture on Microsoft Fabric, centralizing information in OneLake and defining a corporate analytical model.
Results
Unique business vision, improved data governance, and a solid foundation for evolution towards advanced analytics and AI.

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