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In the past few years, we’ve seen many data products based on predictive modeling. These products range from weather forecasting to recommendation engines like Amazon's. Prediction technology can be interesting and mathematically elegant, but we need to take the next step: going from recommendations to products that can produce optimal strategies for meeting concrete business objectives.
We already know how to build these products: they've been in use for the past decade or so, but they're not as common as they should be. This report shows how to take the next step: to go from simple predictions and recommendations to a new generation of data products with the potential to revolutionize entire industries.
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Top Level Categories:
Information Technology & Software Development
Sub-Categories:
Information Technology & Software Development > Databases
Databases > Data Warehouses
The publisher has provided additional content related to this title.
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Visit the catalog page for Designing Great Data Products |
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Visit the errata page for Designing Great Data Products |
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