A leading background screening software company faced major challenges with its legacy on-premises data systems. Reporting on customer SLA metrics lagged up to 24 hours, limiting operational visibility and slowing decisions. The outdated setup also struggled to integrate new data sources, creating inefficiencies and blocking scale as part of their digital transformation. The company needed a modern, cost-effective solution that delivered faster insights and was simple for internal teams to manage. 

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Calfus implemented a cloud-native platform on Google Cloud with Fivetran, BigQuery, and DBT, while retaining Sisense for visualization to ensure adoption. The new architecture reduced data latency, enabled seamless integration of diverse sources, and standardized KPI monitoring across business units. Designed for scalability and efficiency, the solution empowered teams to focus on insights instead of system limitations. 

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The results were transformative: near real-time SLA visibility, faster issue detection, and improved operational efficiency through automation and consistent KPI tracking. Beyond solving immediate pain points, the platform created a foundation for advanced analytics and AI-driven innovation, positioning the company for long-term agility and growth.