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Winfried Adalbert Etzel - DAMA Norway에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Winfried Adalbert Etzel - DAMA Norway 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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#9 - Demand Side Data Management (Eng)

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Manage episode 304850717 series 2940030
Winfried Adalbert Etzel - DAMA Norway에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Winfried Adalbert Etzel - DAMA Norway 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.

Demand Side Data Management comes from the notion to provide value to customers as our highest outcome and has been around as a concept for demand side data quality for a while. We let the consumer decide what data quality he needs to create value with the data.

  • But can we widen that approach to a Data Management as a Service model?
  • Can we put Data Management into a chain of custody?

Aiko Yamashita, Senior Data Scientist at the CoE at DNB, and Karl-Aksel Festø, Head of Advanced Analytics CoE at DNB, gave their input to these questions, supported by examples form their work at DNB.

We talked about:

  • What is the difference between Data Science and Analytics?
  • What skills do we need to build data literacy?
  • How do we get from analysis to insight, and how do we get from insight to action?
  • Who is demanding Data Management?
  • How is Data Management linked to the data value chain?
  • What does it mean to manage a non-depletable asset that is a common good for many different stakeholders?
  • What is the value of good Data Management?
  continue reading

55 에피소드

Artwork
icon공유
 
Manage episode 304850717 series 2940030
Winfried Adalbert Etzel - DAMA Norway에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Winfried Adalbert Etzel - DAMA Norway 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.

Demand Side Data Management comes from the notion to provide value to customers as our highest outcome and has been around as a concept for demand side data quality for a while. We let the consumer decide what data quality he needs to create value with the data.

  • But can we widen that approach to a Data Management as a Service model?
  • Can we put Data Management into a chain of custody?

Aiko Yamashita, Senior Data Scientist at the CoE at DNB, and Karl-Aksel Festø, Head of Advanced Analytics CoE at DNB, gave their input to these questions, supported by examples form their work at DNB.

We talked about:

  • What is the difference between Data Science and Analytics?
  • What skills do we need to build data literacy?
  • How do we get from analysis to insight, and how do we get from insight to action?
  • Who is demanding Data Management?
  • How is Data Management linked to the data value chain?
  • What does it mean to manage a non-depletable asset that is a common good for many different stakeholders?
  • What is the value of good Data Management?
  continue reading

55 에피소드

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