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The Excel-based “Count List” is used by Stadtsparkasse München to evaluate the services provided by Deutsche Servicegesellschaft für Finanzdienstleister (DSGF). The Excel file contains both current and all historical data.
The manual effort required to update the data, which is enriched monthly by DSGF with new data, is very high.
In addition, statistical outliers are difficult to identify and require a great deal of manual effort, as the scope of services provided is highly dependent on various general conditions, such as the time of year. A pure comparison with the previous month usually does not provide a meaningful value and extended comparisons are complicated to perform.
The complex file and data structure of the comprehensive Excel file further complicates the evaluation options.
Together with ec4u expert consulting ag, a new solution was implemented using Microsoft Power BI and an underlying data backend based on Azure SQL and Azure Analysis Services. This enables automated data storage and a greatly improved the ability to evaluate the data.
In a first step, ETL routes were implemented, through which everything will be stored automatically in Azure SQL. Based on this data, Azure Analysis Services was then used to create the required data dimensions.
Using Power BI, the processed data can be made available in a modern and detailed reporting user interface. The new interface makes it much easier to evaluate current data in relation to historical data.
As part of the project, the historical data was also migrated from the existing Excel file via ETL routes in Azure VM or Azure Data Factory.