Understanding the data you have is the secret to unlocking your AI and future strategies.
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Building a strategy for AI and the future begins with your Datability.
Datability Types are defined by four key categories: source, privacy level, nature, and temporal aspect of the data. This framework creates 16 unique types, each with its own strengths, weaknesses, and ideal use cases.
Building the Datable Company means unlocking the potential for your data to leverage AI and partnerships while streamlining your operations to focus on the Lean Data over needless data collection.
Understanding these types is critical for organizations to effectively handle and utilize their data. By being attuned to their specific Datability Types, organizations can drive innovation, growth, and gain a competitive advantage.
Determine your datability type to unlock your data's full economic potential.
Datability Types are defined by four key categories: source, privacy level, nature, and temporal aspect of the data. This framework creates 16 unique types, each with its own strengths, weaknesses, and ideal use cases.
Understanding these types is critical for organizations to effectively handle and utilize their data. By being attuned to their specific Datability Types, organizations can drive innovation, growth, and gain a competitive advantage.
Ward is the Executive Vice President and Chief Data Officer at Yext, focused on the expanding applications of knowledge graphs and data asset optimization. His focus is to help Yext clients identify, value, and structure their knowledge to maximize their data value in AI and search applications. Ward is the co-author of the Amazon #1 top release Data Leverage: Unlocking the Surprising Growth Potential of Data Partnerships and has developed and executed hundreds of data partnerships worldwide, from small entrepreneurial firms to the world’s largest data companies.
Ward has served as Chief Data Officer of Arizent, Chief Data Officer of Data Axle, and Global Head of Content Innovation at Thomson Reuters, among other roles. In 1999, he founded Jaywalk Incorporated with Sean R. McMahon, PhD, which was acquired by the Bank of New York, in addition to two additional data startups in finance and media. He has been quoted in publications like the Wall Street Journal, the Financial Times, Forbes, Fortune, and Adweek. He speaks frequently on data strategy, partnerships, and the impact of Artificial Intelligence.
