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محتوای ارائه شده توسط Jonas Christensen. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط Jonas Christensen یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal
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Randy Bean: Why Chief Data Officers are set up to fail and how to fix it

55:56
 
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Manage episode 374990848 series 2951995
محتوای ارائه شده توسط Jonas Christensen. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط Jonas Christensen یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal

We’re definitely in AI hype mode at the moment largely driven by the evolution in generative AI.

However, it seems like this progress is not necessarily driving lots of data-related innovation inside organisations that are not AI-first tech companies.

A recent survey published by Randy Bean’s company, NewVantage Partners, confirms this. Here are the main findings compared to when the survey was last run 4 years ago:

  • 59.5% of executives say their companies use data for business innovation – the same as four years ago.
  • A drop from 47.6% to 40.8% of executives say their companies compete using data and analytics.
  • Fewer executives (39.5% down from 46.9%) say their companies manage data as a business asset.
  • Only 23.9% of executives now say their companies are data-driven, compared to 31% before.
  • Just 20.6% of executives report having a data culture in their companies, down 27% from 28.3% in 2019.

These numbers spell regression, not progress.

Why is it so hard to become a truly data-driven organisation?

In this episode, Randy and I explore the challenges facing Chief Data & Analytics Officers and their teams, including:

  • How organizations can create an environment that encourages innovation in data-driven initiatives
  • Examples of organisations doing data well, and why
  • How to set clear expectations around the responsibilities of CDAOs
  • The most important qualities for someone in the CDAO role, and much more.

Randy on LinkedIn: https://www.linkedin.com/in/randybeannvp/

Randy's website and book, 'Fail Fast, Learn Faster': https://www.randybeandata.com/book

  continue reading

61 قسمت

Artwork
iconاشتراک گذاری
 
Manage episode 374990848 series 2951995
محتوای ارائه شده توسط Jonas Christensen. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط Jonas Christensen یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal

We’re definitely in AI hype mode at the moment largely driven by the evolution in generative AI.

However, it seems like this progress is not necessarily driving lots of data-related innovation inside organisations that are not AI-first tech companies.

A recent survey published by Randy Bean’s company, NewVantage Partners, confirms this. Here are the main findings compared to when the survey was last run 4 years ago:

  • 59.5% of executives say their companies use data for business innovation – the same as four years ago.
  • A drop from 47.6% to 40.8% of executives say their companies compete using data and analytics.
  • Fewer executives (39.5% down from 46.9%) say their companies manage data as a business asset.
  • Only 23.9% of executives now say their companies are data-driven, compared to 31% before.
  • Just 20.6% of executives report having a data culture in their companies, down 27% from 28.3% in 2019.

These numbers spell regression, not progress.

Why is it so hard to become a truly data-driven organisation?

In this episode, Randy and I explore the challenges facing Chief Data & Analytics Officers and their teams, including:

  • How organizations can create an environment that encourages innovation in data-driven initiatives
  • Examples of organisations doing data well, and why
  • How to set clear expectations around the responsibilities of CDAOs
  • The most important qualities for someone in the CDAO role, and much more.

Randy on LinkedIn: https://www.linkedin.com/in/randybeannvp/

Randy's website and book, 'Fail Fast, Learn Faster': https://www.randybeandata.com/book

  continue reading

61 قسمت

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