_automotive
The aim of the project was to support a customer from the automotive industry in the selection of a suitable low-code provider for a master data maintenance application for the specifications of technical vehicle monitoring.
The application contains countless master data with complex links to each other and other processes for additional inspection software for garages. A rule system determines when and how which data from the master data maintenance application is used in the inspection software. The software is used in-house by around one hundred users.
At the start of the project, the customer had already compiled a concrete and detailed list of requirements for the selection of a suitable low-code platform. Nevertheless, the company encountered difficulties during the evaluation. For example, it was difficult to calculate the actual costs of the respective solutions, and although some tools were well suited to specific aspects of the requirements, they did not cover the entire spectrum. In addition, it was difficult to find platforms that were actually suitable for specialist users without programming knowledge.
We chose an approach similar to Planning Poker - a method that has been popular in agile projects since 2005 for estimating effort. Several of our experts looked at different tools individually and evaluated them. These evaluations were then compared with each other in order to identify and, if necessary, correct any discrepancies. The evaluation results were then presented to the client and reviewed by them to determine their priorities.
As a result, several low-code providers were recommended in order to increase developer productivity and at the same time better integrate the specialist department.
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