Transforming Data Collection and Reporting for the Care Sector
01
The Challenge
Carterwood Analytics, a leading provider of data insights and consultancy for the care sector, relies on both internal and external geospatial data to create dynamic visualizations for clients. However, the manual process of gathering and analyzing data each week created significant overhead, reducing efficiency and limiting the ability to produce more advanced reports. Carterwood needed a solution to streamline data collection and reporting while improving the overall quality of insights provided to their clients.
02
What We Delivered
Wolf Logic partnered with Carterwood’s data scientists to conduct a comprehensive review of their data workflows, identifying key areas for improvement.
We designed and implemented a scalable data warehouse capable of integrating diverse datasets from multiple sources, both public and private.
- Online Reporting Portal: We developed an online portal that empowers teams to generate reports and request peer reviews efficiently. The portal delivers daily updates in small batches, eliminating spreadsheets and saving hours of manual work.
- Automating Dataset Updates: This was a top priority, enabling Carterwood to reduce the time spent on routine data collection and freeing up resources for more complex analysis and reporting.
03
Results
Our solution significantly improved data collection efficiency, resulting in:
- Reduced Manual Workloads: Moreover, Carterwood’s team can now focus on delivering more advanced and valuable insights.
- Improved Data Accuracy and Reliability: Furthermore, The automated workflows and data warehouse enhanced the quality of data.
- Streamlined Report Generation: The new portal allows for faster and more effective client deliverables.
Scalable and Future-Ready: By automating key processes and creating a scalable infrastructure, Carterwood is now to handle growing data volumes and evolving client needs. The system ensures they can continue to deliver cutting-edge insights while improving internal efficiencies.