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Twilio에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Twilio 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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Data Collaboration: Privacy, Clean Rooms, and Interoperability with Dana McGraw, SVP of Data and Measurement Science at Disney Advertising

43:12
 
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Manage episode 464555672 series 3644179
Twilio에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Twilio 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.

This episode features an interview with Dana McGraw, Senior Vice President of Data and Measurement Science at Disney Advertising. Dana leads teams responsible for data science, analytics and audience modeling – in addition to attribution, advertiser performance and insights. She leads data science and advanced analytics for advertising sales, covering Disney’s portfolio of linear, streaming, digital, and social properties. Previously, Dana held several positions within Yahoo!’s Media Group, analytics roles at leading interactive agencies, and also coached women’s college basketball for seven years.

In this episode, Kailey sits down with Dana to discuss how data collaboration is evolving, the importance of interoperability, and the ins and outs of Disney’s Audience Graph.

-------------------

Key Takeaways:

  • Building relationships with consumers isn’t about collecting data just to collect it. You should collect data in a way that creates the best consumer experience and maintains a relationship of trust.
  • It’s possible to create interoperability for measurement in ways that are compliant, respectful to the consumer, and achieve the goals you’ve set out to achieve.
  • Data science is often thought of as math and engineering, but it’s more of a social science in that it reflects culture and society as a whole.

-------------------

“Don't just collect everything you can collect. It doesn't make any sense. Do what you need to do to make the consumer experience the best one possible and to maintain that relationship of trust. That's our guiding light, independent of everything else.” – Dana McGraw

-------------------

Episode Timestamps:

‍*(02:49) - Dana’s career journey

*(07:29) - Trends impacting adtech and consumer experience

*(11:05) - Disney’s data collaboration solutions

*(20:13) - How Disney incorporates modeling and machine learning into their solutions

*(29:04) - How Dana defines “good data”

*(40:31) - Dana’s recommendations for upleveling inclusive marketing strategies

-------------------

Links:

Connect with Dana on LinkedIn

Connect with Kailey on LinkedIn

Learn more about Caspian Studios

-------------------

Sponsor

Good Data, Better Marketing is brought to you by Twilio Segment. In today’s digital-first economy, being data-driven is no longer aspirational. It’s necessary. Find out why over 20,000 businesses trust Segment to enable personalized, consistent, real-time customer experiences by visiting Segment.com


Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

  continue reading

75 에피소드

Artwork
icon공유
 
Manage episode 464555672 series 3644179
Twilio에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Twilio 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.

This episode features an interview with Dana McGraw, Senior Vice President of Data and Measurement Science at Disney Advertising. Dana leads teams responsible for data science, analytics and audience modeling – in addition to attribution, advertiser performance and insights. She leads data science and advanced analytics for advertising sales, covering Disney’s portfolio of linear, streaming, digital, and social properties. Previously, Dana held several positions within Yahoo!’s Media Group, analytics roles at leading interactive agencies, and also coached women’s college basketball for seven years.

In this episode, Kailey sits down with Dana to discuss how data collaboration is evolving, the importance of interoperability, and the ins and outs of Disney’s Audience Graph.

-------------------

Key Takeaways:

  • Building relationships with consumers isn’t about collecting data just to collect it. You should collect data in a way that creates the best consumer experience and maintains a relationship of trust.
  • It’s possible to create interoperability for measurement in ways that are compliant, respectful to the consumer, and achieve the goals you’ve set out to achieve.
  • Data science is often thought of as math and engineering, but it’s more of a social science in that it reflects culture and society as a whole.

-------------------

“Don't just collect everything you can collect. It doesn't make any sense. Do what you need to do to make the consumer experience the best one possible and to maintain that relationship of trust. That's our guiding light, independent of everything else.” – Dana McGraw

-------------------

Episode Timestamps:

‍*(02:49) - Dana’s career journey

*(07:29) - Trends impacting adtech and consumer experience

*(11:05) - Disney’s data collaboration solutions

*(20:13) - How Disney incorporates modeling and machine learning into their solutions

*(29:04) - How Dana defines “good data”

*(40:31) - Dana’s recommendations for upleveling inclusive marketing strategies

-------------------

Links:

Connect with Dana on LinkedIn

Connect with Kailey on LinkedIn

Learn more about Caspian Studios

-------------------

Sponsor

Good Data, Better Marketing is brought to you by Twilio Segment. In today’s digital-first economy, being data-driven is no longer aspirational. It’s necessary. Find out why over 20,000 businesses trust Segment to enable personalized, consistent, real-time customer experiences by visiting Segment.com


Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

  continue reading

75 에피소드

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