ETL were responsible for reviewing, modelling and analysing sets of large scale health care data, and were struggling to manipulate the data using Excel alone. Enter Schematiq to the rescue…
The Problem
- Several very large sets of healthcare related data from multiple sources needed validating, merging, filtering and analysing. Merging was often based on a unique identifying parameter.
- Excel and Access lacked the power to easily merge and manage data. Pivot and lookup tables further increased file size resulting in excessive processing time with Excel frequently crashing.
- The client’s time was being wasted trying to overcome limitations to the spreadsheet approach, rather than analysing data and reporting on the results
Our Solution
- Schematiq allowed the raw data to remain in flat files, so analysis workload could be completed within the Schematiq add-in, and only the results surfaced into Excel.
- Simplified approach ensured that risk was removed from the analysis.
- Potential errors in Excel coding contained in thousands of complex formulas were replaced with simple template formulas.
- Targeted solutions were delivered rapidly with minimal impact to users, delivering first results within hours.