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process

Simona Parnicka · 23. 05. 2018 · Product News

Minit 3.1: Tidy up your Process Map

New Map Clustering functionality in Minit Process Mining 3.1 enables the user to visually encapsulate activities in the Process Map view (or resource in social chart view) into clusters. Nodes are grouped and laid out close to each other and visually bordered by blue dashed rectangles based on the value of the selected clustering attribute.

influencer-minit

Simona Parnicka · 23. 05. 2018 · Product News

Minit 3.1: Who’s the influencer here? Part 2

Case duration influence is a sophisticated analytical insight that automatically evaluates the impact of case-level attributes (including financial) on the mean case duration. Minit 3.1 takes all case-level attribute values and based on the mean duration of the cases having the specific case-level attribute value weighted by the volume of cases having this value calculates the percental influence of cases having this value on the overall mean case duration.

3.0

Simona Parnicka · 13. 03. 2018 · Product News

Drumroll please! Minit 3.0 is here.

It’s time to introduce you to the best version of Minit yet, now available as a free update. It is packed with brand-new functionality that will help you dig deeper and extract more valuable insights from your data.

But before we tell you more about the individual features… let’s get to what you really want to do... go ahead and hit the button to request your update or Trial version.

blog3

Simona Parnicka · 13. 03. 2018 · Product News

Minit 3.0: Refresh your analysis

Process intelligence is an iterative process. Get the data... Import... Explore... Get more data... Import... Explore... Get a bit different data... Import... Explore...  

And when you finally finish your analysis, someone asks: can we do that on a daily/weekly/monthly basis? In Minit 3.0, the answer is a single click away.

blog2

Simona Parnicka · 13. 03. 2018 · Product News

Minit 3.0: Business hours-aware analysis

Everybody knows that a customer request initiated on Friday and answered on Monday is not the same as one received on Monday and answered on Thursday. But taking time into ancount within an analysis is complicated. The year, the location, specific business hours and local holidays are influencing your results and findings. If you need the precise duration in every case, you have to consider every such exception.