Celonis' data engineering processes should be transformed into a low-code structure. Excessive coding is still required across the Starter Kits, where the market is focusing on low-code automation or transformations. The tool's UI should also be more intuitive. The data engineering pipeline within Celonis is highly technical. The interface in future versions of Celonis can have a drag-and-drop format with a more intuitive configuration. If you check other solutions like Power BI, business professionals can use it without technical experience, but usually, the same person won't be able to use Celonis freely. In the standard deployment of Celonis, you will need one project manager, an expert value architect, and two or three developers to manage the design pipeline. If your organization has a partner for executing all the Celonis pipelines, then it must be ensured that a COE is assigned in-house for hypercare needs. For instance, if some KPIs need to be changed or if irrelevancy is found, maintenance needs to be implemented every year or every six months for KPI adjustments and rebuilding of sources or logic. The aforementioned maintenance tasks for Celonis are usually carried out by an in-house COE; without a COE, maintenance can become challenging.
