Store Location Suggester

Opening a physical store is not without risks. One of the most obvious risks to evaluate before opening a new store is receiving enough customers to make the business profitable. Therefore, it is essential to pick the right location to make sure it is convenient for the customers and there is enough demand for a new store in the area. Using data science, geospatial analysis and machine learning techniques, we can provide a solution for this and recommend the best neighbourhood for opening your new stores.

Case Study

Polyco Healthline Self Service Reporting with Transparity

Transparity delivered a self service reporting solution for Polyco Healthline, enabling the business to move away from slow, manual reporting processes. By introducing an optimised Analysis Services model, report refresh times were reduced from hours to minutes or even seconds, improving efficiency and accuracy across the organisation.

This project highlights our Data Consultancy Services, including Data Engineering and Power BI Consultancy, helping organisations unlock trusted insights and scale their analytics capabilities.

Reduced report refresh times from hours to seconds
Delivered an optimised Analysis Services model
Enabled self-service reporting for faster insights

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