Designing Great Data Products
- Wydawnictwo:
- O'Reilly Media
- Ocena:
- Stron:
- 23
- Dostępne formaty:
-
ePubMobi
Opis ebooka: Designing Great Data Products
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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In the early days of the 20th century, department store magnate JohnWanamaker famously said, "I know that half of my advertising doesn'twork. The problem is that I don't know which half." That remainedbasically true until Google transformed advertising with AdSense basedon new uses of data and an... -
Have we entered the age of NoOps infrastructures? Hardly. Old-style system administrators may be disappearing in the face of automation and cloud computing, but operations have become more significant than ever. As this O’Reilly Radar Report explains, we’re moving into a more complex ... -
This report examines the important shifts in data products. Drawing from diverse examples, including iTunes, Google's self-driving car, and patient monitoring, author Mike Loukides explores the "disappearance" of data, the power of combining data, and the difference between discovery and recommen... -
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Szczegóły ebooka
- ISBN Ebooka:
- 978-14-493-3368-3, 9781449333683
- Data wydania ebooka:
-
2012-03-23
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- Język publikacji:
- angielski
- Rozmiar pliku ePub:
- 2.7MB
- Rozmiar pliku Mobi:
- 5.5MB
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