Transforming Business Intelligence with Microsoft Fabric

A rapidly growing company needed a centralized BI tool to replace its outdated system and provide accurate, real-time insights for strategic growth.

Business Challenge:

A growing company needed a centralized BI solution to overcome data and scalability challenges.

A rapidly growing company relied on an outdated, custom-built reporting system that was difficult to use and produced inconsistent data. The system had multiple versions, leading to conflicting reports that made it hard for leadership to trust the information. Additionally, the organization had an underutilized Power BI tenant, and multiple data sources were generating different results from the same data, further complicating decision-making.

As the company prepared for significant growth over the next five years, the need for a reliable and scalable business intelligence (BI) solution became urgent. However, their internal IT team lacked the expertise and capacity to implement a robust system. With numerous data sources and inconsistent reporting, they needed a centralized, easy-to-use BI tool to provide accurate, real-time insights to guide their growth and operational strategy.

Approach:

Microsoft Fabric was implemented to streamline reporting, centralize data, and empower teams to manage reports independently.

To address the company’s reporting challenges, a comprehensive BI solution was implemented, chosen for its seamless integration with the company’s existing Power BI workspace. Microsoft Fabric centralized the organization’s reporting processes, standardized their data, and eliminated discrepancies between systems. The solution connected directly to the company’s on-premise data sources, simplifying data access and management.

Mutually Human also converted numerous Excel-based reports into BI-friendly formats, streamlining workflows and ensuring data consistency. Additionally, the team provided business intelligence and data engineering training, empowering departments to manage their own reporting needs and reducing reliance on IT for routine reporting tasks. This hands-on support enabled the company to scale their reporting system independently.

Results:

Increased customer convenience and cost savings.

Optimized Shipping

Orders are now fulfilled from the closest plants, lowering shipping costs and improving delivery times.

Data-Driven Decision-Making

Improved responsiveness to market demands, streamlined production planning, and increased operational efficiency.

Future-Ready for AI