Pull data from your different systems and refine process logs through simplified data pipelining. Then, fuel process log data into Dataiku’s Process Mining through a user-friendly interface.
Isolate specific workflows and their individual components with comprehensive filters. Then, identify standard and problematic processes, as well as perform root cause analysis to plan for their optimization. Understanding differences between operation centers for a common process or activities that significantly impact efficiency metrics becomes easy.
Quickly understand process performance evolution, identify gaps in efficiency, and spot areas to deep dive into.
Get granular understanding and provide illustrative reporting to management and operators. Generate conformance checks for every process in your dataset to explain insights or anomalies, and identify specific past events to investigate.
Benefit from Dataiku’s full extensibility to set automated checks to monitor evolution of your processes and define thresholds for alerts. Tap into the results of process mining to generate new features to train machine learning models targeted towards enhancing your processes.
The Dataiku Solution for Process Mining helps answer a broad range of questions like:
Use process mining as a key step to build a company-wide obsession for process optimization. Once opportunities are uncovered, leverage the full breadth of data and AI possibilities — down to Generative AI — to deliver on identified opportunities, all in a scalable, inclusive platform.
A composite organization in the commissioned study conducted by Forrester Consulting on behalf of Dataiku saw the following benefits:
reduction in time spent on data analysis, extraction, and preparation.
reduction in time spent on model lifecycle activities (training, deployment, and monitoring).
return on investment
net present value over three years.