MS Fabric

Case Study

Reporting for an FMCG Corporation

Reporting for a Consulting Firm

Microsoft Fabric is designed to unify data engineering, analytics, BI, and AI in one platform, helping organizations turn raw data into insights faster, smarter, and more cost-effectively.

We specialize in helping companies move from fragmented systems and manual processes to a single, trusted data environment. With deep integration with Power BI, Azure, and built-in AI, teams across finance, operations, sales, and supply chain can make better decisions from one reliable source.

With OneLake as a unified foundation and a consistent security model, Fabric delivers scalability, transparency, and faster time to insight-without added complexity.

Case Study 1: Reporting for an FMCG Corporation

Client Introduction:

A global company in the FMCG industry, focused on healthy nutrition, sustainability, and innovation in the food sector, offering its products in over 95 countries. It employs approximately 5,000 people and has 15 production facilities

Client Challenge:

The existing reporting system consisted of many different data sources. Although the data s adapted for processing large tables, struggled with reading many smaller tables. The goal of the implementation was to improve reporting, standardize the analytical environment, and leverage Fabric (Notebooks) features to enable data analysts to create more advanced reports.

Implementation Results:

Number of migrated tables: ~1000
Main data sources: SAP Hana, Nielsen/Kantar, ServiceNow
Number of active reports: ~350
Number of report users: ~2300
Transparency over >500KPI’s

By consolidating over 1,000 tables from multiple sources into Microsoft Fabric, the client transformed their fragmented reporting environment into a unified, high-performance platform. Integration of SAP Hana, Nielsen/Kantar, and ServiceNow enabled standardization across more than 350 active reports used by 2,300 users, providing transparency over 500,000 KPIs. Leveraging Fabric Notebooks, data analysts can now build advanced, interactive reports faster and with greater accuracy.

The implementation not only improved reporting efficiency and reliability but also unlocked the potential for advanced analytics, predictive insights, and scalable BI initiatives, giving the organization a strong foundation to innovate and respond quickly across its global operations.

Case Study 2: Reporting for a Consulting Firm

Client Introduction:

A global consulting firm specializing in risk management, restructuring, finance, and strategic communication.
It supports clients in solving complex business, legal, and regulatory challenges by providing expert analyses and strategic advice.

Client Challenge:

The data warehouse based on SQL Server (on-premise) lacked sufficient performance for frequent refreshes in Power BI (due to the size of the data model, with refresh times of around 2-3 hours). The client’s goal was to speed up the report refresh time and increase the frequency of updates.

Implementation Results:

Tables migrated: ~150
Reports pages with RLS: ~30
Main data sources: Unit 4, TM1
Data quality monitoring system
Refresh time below <0,5h
Refresh errors were eliminated
Quicker and reliable decisions

By migrating the existing on-premise SQL Server data warehouse to Microsoft Fabric, the client significantly improved the performance and reliability of their analytical environment. Report refresh times were reduced from several hours to under 30 minutes, enabling more frequent data updates and eliminating recurring refresh errors. With improved data quality monitoring, row-level security across multiple reports, and seamless integration of key source systems, decision-makers now rely on up-to-date, trustworthy insights.

Beyond the immediate performance gains, the new architecture creates strong potential for further development – including advanced analytics, predictive modeling, and broader self-service BI adoption. Microsoft Fabric has laid a scalable foundation that allows the organization to evolve its data strategy and respond faster to future business and regulatory challenges.

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