solutions.
process mining.
Totally Different From Business Intelligence And Yet So Identical. At first glance, BI and Process Mining could be twins – both thrive on data, both uncover performance insights, and both promise efficiency. And yet, despite their similarities, they approach the challenge from very different angles.
Modern Data Architecture: Building a Foundation for the Data Driven Enterprise
Learn how a modern data architecture allows you to use a data catalog, data fabric and data observability to build resilient DataOps pipelines to create a data mesh of reusable data products published in a data marketplace.
Is Process Mining the Same as Business Intelligence?
At first glance, Business Intelligence (BI) and Process Mining may look similar. Both are used to analyze data within business management. Both rely on visualizations to simplify data analysis. And yet, despite their similarities, they approach the challenge from very different angles.
Our Journey From Data Management to Process Analytics and Process Mining
With traditional process analytics, we began to encounter the limits of tools such as statistical process control, operations scorecards and business process improvement. While these tools provide valuable insights into intended processes and outcomes, they often fail to reveal what is actually happening in the organization. By ingesting, preparing, and analyzing event logs from processes and tasks - both inside and outside standard process flows - Process Mining takes analytics to the next level.
Event Logs Made Simple
When people first hear about Process Mining, they often have two very different ideas about how it handles data. Some assume it automatically collects and transforms everything for them. Others fear that they’ll need to manually gather, clean, and reformat huge amounts of data before they can even start. Let’s clarify what’s actually true.
Integrating AI and Analytics in the Data-Driven Enterprise
How Process Mining supports every stage of your automation journey
Automation has become one of the most powerful ways for organizations to drive efficiency, reduce manual effort, and free up employees to focus on higher-value tasks. But automation is only effective when you truly understand how your processes run in reality. Without that knowledge, you risk automating inefficiencies - or worse, embedding errors into your workflows. This is where Process Mining becomes essential.