2020 Virtual Analytics Symposium: The Data Product Mindset (Theresa Johnson)

Data is moving from being the source of reports to the centre of a product’s value proposition.

Products fueled by data and machine learning can be a powerful way to solve users’ needs. They can also create a “data moat” that can help stave off the competition. The lifecycle of a data product in many ways mirrors standard product development: identifying the opportunity to solve a core user need, building an initial version, and then evaluating its impact and iterating. But the data component adds an extra layer of complexity.

To tackle the challenge,

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