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Roland Woldt / J-M Erlendson에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Roland Woldt / J-M Erlendson 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
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Ep. 63 - Process Mining Data: Lotte Vugs

57:18
 
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Manage episode 402751030 series 3007154
Roland Woldt / J-M Erlendson에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Roland Woldt / J-M Erlendson 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

As we all know, the majority of time in a process mining project is in some form or fashion related to data preparation and a significant lower share of time is spent on the actual analysis. There are multiple ways of getting you data into shape (SQL, visual data modeling tools, etc.), but our guest today has developed an approach and a tool to flip this time relation and shorten process mining projects significantly.

Our guest today is Lotte Vugs, who, after 5 years working as a process mining consultant, co-founded Konekti to speed up data preparation for process mining.

In this episode of the podcast we are talking about:

  • Lotte's background
  • A quick reminder on what process mining is
  • Time as a critical factor in every process improvement initiative
  • Why data preparation takes so much time
  • Why organizations are increasingly looking for ways to reduce the time spent on data preparation: it's all about effort vs benefit
  • Time-efficient data preparation strategies: Now we know that data preparation is the problem, how to fix it?
  • Managing time in large datasets

You can reach Lotte via email, her LinkedIn, or go to her website getkonekti.io.

Please reach out to us by either sending an email to [email protected] or leaving us a voice message by clicking here.

  continue reading

123 에피소드

Artwork
icon공유
 
Manage episode 402751030 series 3007154
Roland Woldt / J-M Erlendson에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Roland Woldt / J-M Erlendson 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

As we all know, the majority of time in a process mining project is in some form or fashion related to data preparation and a significant lower share of time is spent on the actual analysis. There are multiple ways of getting you data into shape (SQL, visual data modeling tools, etc.), but our guest today has developed an approach and a tool to flip this time relation and shorten process mining projects significantly.

Our guest today is Lotte Vugs, who, after 5 years working as a process mining consultant, co-founded Konekti to speed up data preparation for process mining.

In this episode of the podcast we are talking about:

  • Lotte's background
  • A quick reminder on what process mining is
  • Time as a critical factor in every process improvement initiative
  • Why data preparation takes so much time
  • Why organizations are increasingly looking for ways to reduce the time spent on data preparation: it's all about effort vs benefit
  • Time-efficient data preparation strategies: Now we know that data preparation is the problem, how to fix it?
  • Managing time in large datasets

You can reach Lotte via email, her LinkedIn, or go to her website getkonekti.io.

Please reach out to us by either sending an email to [email protected] or leaving us a voice message by clicking here.

  continue reading

123 에피소드

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