Appian vs Celonis

• The team we had to build the prototype (including the consultants from Appian) was fantastic. We implemented the prototype in three short Agile sprints (6 weeks in total), and the resulting prototype was high quality with lots of functionality of excellent quality.
• Because Appian is a product suite, all the components worked seamlessly together - we had no issues with integration and could focus on the experience for the business customer, the concepts to prove and the problems we were there to solve.

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• Provide big picture information and drill down to details, such as actors, cases, documents
• Combine process discovery data with other business, e.g. controlling data
• Great user interface
• Unlike other products such as Minit or Disco, this tool is great at being able to directly enrich the findings with cost or revenue data
• Easy to build and calculate critical process KPIs and demonstrate the findings to management (decision makers)

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• We had such a short timeframe for implementing the prototype that we did not get an opportunity to explore the drag and drop business process modelling functionality - this is available in the Appian product, and would enable low code development, but I can't really comment on how good it is.

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• It works with SAP HANA. Unfortunately, we did not succeed with connecting it to the older SAP versions
• Working with data models is not easy. The data model has to be 100% correct, otherwise the results bring confusion (either visible or not visible) or the model does not provide any data
• Support for all standard SAP modules

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• Although I don't have direct access to ROI assessment, I feel if projects are managed well, Appian has the ability to deliver applications / deliverables quick enough to ensure quick ROI.

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• Using Celonis speeds up the whole company by restructuring projects. It saves time and human work.
• Celonis provides perfect transparency - as well as other process mining tools - but it goes further. It allows us to combine the process KPIs with, for example, cost or revenue data.
• Enables us to make decisions based on real-life numbers.

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