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The art and science of data product portfolio management

AWS Big Data

Earlier in their lifecycle, data products may be measured by alternative metrics, including adoption (number of consumers) and level of activity (releases, interaction with consumers, and so on). These data products may be widely used across business functions to support reporting and analytics, and—to a lesser extent—operational processes.

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What’s the Difference: Quantitative vs Qualitative Data

Alation

Analytics: Analyze data to understand how people interact with products and/or services. For example, you might track how people interact with your company’s website. A simple example of a narrative this could be a descriptive column on a report that reviews sales 12 months ago and last month and states: Sales has grown from $1.2M