A growing construction organization struggles to operationalize financial and project reporting across multiple operating entities. Core financial data required extensive manual cleaning and transformation before it could be used, with business logic embedded in spreadsheets rather than governed systems. Reporting processes were time-consuming, error-prone, and difficult to scale.
As financial complexity increased, these challenges limited visibility into key metrics such as work-in-progress and balance sheet performance. Leadership lacked confidence in reporting consistency across the organization, while finance and IT teams spent significant time preparing and validating rather than analyzing it. The organization recognized the need for a centralized, automated reporting foundation to improve financial transparency and support future analytics and AI initiatives.
Mutually Human partnered closely with finance and IT stakeholders to design a modern financial analytics solution aligned to existing construction ERP workflows. The approach focused on end-to-end automation—from ingestion through reporting—while preserving trusted financial logic already in use.
Using a phased delivery model, the solution centralized financial and project data in Microsoft Fabric, implemented a medallion architecture to support governed self-service BI, and integrated with existing ERP and SQL Server systems. Strong emphasis was placed on validation, documentation, and enablement to ensure accuracy, adoption, and long-term sustainability. The engagement included configuration and customization, data modeling, reporting development in Power BI, training, and close collaboration with subject matter experts throughout delivery.
The solution replaced manual, fragmented reporting workflows with an automated and governed financial intelligence platform—reducing effort, improving access to insights, and positioning the organization for future expansion.
A single, trusted data foundation replaced siloed spreadsheets and disconnected reports, providing consistent visibility into financial and project performance across the organization.
Automated pipelines and Power BI reporting reduced time spent preparing and validating data, allowing teams to access up-to-date financial information more quickly and reliably.
Eliminating spreadsheet-based transformations lowered the risk of errors and freed finance and IT teams to focus on higher-value analysis rather than data preparation.
Standardized data models and governed reporting created a scalable foundation that supports growth without increasing operational complexity.
With modern data infrastructure in place, the organization is positioned to expand reporting, enable self-service analytics, and support future initiatives such as advanced analytics and AI-driven insights.
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