ExYPro : Process Mining Methodology

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Discover on this new site how to discover and analyze business processes

“Process Intelligence” refers to the collection, analysis and interpretation of data generated by processes (i.e. logs or logs) as well as the various business activities within a organization with the aim of improving efficiency, productivity and overall performance.

Process improvement involves collecting data from various sources such as workflow management systems, ERP or CRM applications and other transactional systems, then using various specific analytical tools (the solutions Process Mining) and methodologies to identify trends, patterns and insights.

Knowledge gained from process mining can be used to optimize processes, reduce waste, and make data-driven decisions to improve an organization’s overall performance. It is also interesting to reuse this knowledge to ensure that the processes will no longer suffer from drifts.

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Benoit Cayla

In more than 15 years, I have built-up a solid experience around various integration projects (data & applications). I have, indeed, worked in nine different companies and successively adopted the vision of the service provider, the customer and the software editor. This experience, which made me almost omniscient in my field naturally led me to be involved in large-scale projects around the digitalization of business processes, mainly in such sectors like insurance and finance. Really passionate about AI (Machine Learning, NLP and Deep Learning), I joined Blue Prism in 2019 as a pre-sales solution consultant, where I can combine my subject matter skills with automation to help my customers to automate complex business processes in a more efficient way. In parallel with my professional activity, I run a blog aimed at showing how to understand and analyze data as simply as possible: datacorner.fr Learning, convincing by the arguments and passing on my knowledge could be my caracteristic triptych.

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