[Webinar] Breaking down data silos to unleash the power of Process Mining

Written by
inverbis analytics
Webinar inverbis & TimeXtender
12 de June de 2023 Max < 1 min read

Do you want to dive into the world of Process Mining but are held back by the fragmentation of data across your organization? Would you like to accelerate your digital transformation with fresh insights into your operations, minimizing the time and effort required to manage your data?

In this webinar, we show you how you can use process mining to open a new window into your operations, and how you can harness the power of the modern data estate to overcome the challenges of data silos.

You can watch the recorded webinar in this link:


Process mining solutions use state of the art algorithms to extract the digital footprint from corporate systems of a process and show its execution in real life. This enables organizations to optimize process performance, identify automation opportunities, and manage compliance and associated risks.

As with any other analytics initiative, the challenge for a successful application of process mining lies in getting the right data. This is especially relevant in situations where processes are supported by several systems and therefore data is distributed across different sources.

By integrating TimeXtender with Inverbis, we have created a solution that allows you to effectively mine processes that cross different corporate applications, significantly reducing the time and effort needed to access and transform the data required.

Additionally, you can use TimeXtender to start optimizing your analytics projects, using the same underlying functionality and infrastructure that you use to manage your process mining data.

We explored, through a practical use case, how the Inverbis – TimeXtender solution enables your organization to unlock hidden process insights, enhance decision-making, and drive operational excellence.

Webinar was live on June 28th.

Read more…

The parallel activity dilemma in Process Mining

The parallel activity dilemma in Process Mining

Why commercial Process Mining does not do it (that much) One of the main advantages of discovery algorithms in process mining is that they are able to produce process models that abstractly represent how execution flows. This includes determining and modeling when...