The client, a multinational bank boasting numerous branches across the globe, needed an application to ease data modeling, downstream in the business vault.
About the Client
Problem Statement
- Preparation and importation without any automation and quality checks
- Modeling data manually using excel and no possibilities for parallel work
- Centralized place for saving the progress was missing
The Challenge
- Their input data had to be standardized manually which was labor intensive
- Importation of the data was fragile and was susceptible to human error
- Searching in the database was a bottleneck which needed multiple queries to find a single relevant record
- Viewing the related records in a tree view structure was not possible
The Solution
- Easy importation with quality check to prevent data inconsistencies and errors
- Multiple users could work at the same time over the network
- A centralized database to save and access the results easily
- A keyword search prevents the need for queries against the database
- Ultimately, this single application eliminates manual work while delivering value
Tangible Results for the Client
- The application is now used by more than twenty users over a network, writing and reading data simultaneously.
- It now helps them to provide business value much more efficiently by working with the tool over the network.
- Moreover, the manual work was minimized and quality checks helped tackle the errors.
Technologies involved
- Python (Kivy as front-end)
- SQL as database
- Data Vault 2.0
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Marc Winkelmann
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