Designing Great Data Products

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Название: Designing Great Data Products

Автор: Jeremy Howard, Mike Loukides, Margit Zwemer

ISBN: 1449333672

Издательство: O’Reilly Media

Год издания: 2012

Страниц: 23

Язык: English

Формат: PDF

Размер: 5.54 Мб

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.

Table of Contents

Objective-based data products

The Model Assembly Line: A case study of Optimal Decisions Group

Drivetrain Approach to recommender systems

Optimizing lifetime customer value

Best practices from physical data products

The future for data products