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Everyone says that data has value, but what does that mean? How do you measure that value? This week we talk a little less about people and a little more about business and monetization. Our guest is Doug Laney, author of the bestselling book, Infonomics.
Chapters
00:00 – Open & Introduction;
According to some research, about half of large organizations are“Data Driven,” meaning they are "driving business innovation with data." According to other research, that number is about half of that. But wait, isn’t that what data is for in the first place? Not good enough! So in this episode, we call BS on Data Driven.
Our guest is Randy Bean, bestselling author of Fail Fast, Learn Faster: Lessons in Data-Driven Leadership in an Age of Disruption, Big Data, and AI, and a regular contributor to Forbes, Harvard Business Review, and MIT Sloan Management Review on Data & AI leadership.
Chapters:
00:00 – Open & Introduction;
Other Resources:
Surveys Cited in Dispatches:
Data Debt is both a measure and a message. It helps businesses grasp how important data can be, because when all else has failed, many organizations have examined Data Debt and discovered a significant aspect of data resource management. To help explain Data Debt we welcome Barbara Forth.
Chapters
00:00 - Open & Introduction;
For so many of us, Data Quality is like a healthy diet and daily exercise. You want the benefits, but you don’t want to do what it takes to get them. Interrogating the data is the easy part. Sustaining a Data Quality program requires discipline and culture. It’s what we’ve been
Chapters
00:00 - Open & Introduction;
So many times we get our words reversed when naming subject areas. Instead of Data Ethics, for example, we should be talking about ethics as applied to data. This ties our interest to the broader discipline. Our guest, Daragh O Brien, is an expert in the field and gives us a lot of food for thought both about how we use data and how we allow our data to be used.
Chapters
00:00 - Open & Introduction;
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