Big Data in Practice
How 45 Successful Companies Used Big Data Analytics to Deliver Extraordinary Results
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Big Data in Practice
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Narrated by:
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Piers Hampton
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By:
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Bernard Marr
About this listen
The best-selling author of Big Data is back, this time with a unique and in-depth insight into how specific companies use big data.
Big data is on the tip of everyone's tongue. Everyone understands its power and importance, but many fail to grasp the actionable steps and resources required to utilise it effectively. This book fills the knowledge gap by showing how major companies are using big data every day, from an up-close, on-the-ground perspective.
From technology, media, and retail to sport teams, government agencies, and financial institutions, learn the actual strategies and processes being used to learn about customers, improve manufacturing, spur innovation, improve safety, and so much more.
For each company profiled, learn what data was used, what problem it solved, and the processes put it place to make it practical as well as the technical details, challenges, and lessons learned from each unique scenario.
- Learn how predictive analytics helps Amazon, Target, John Deere, and Apple understand their customers
- Discover how big data is behind the success of Walmart, LinkedIn, Microsoft, and more
- Learn how big data is changing medicine, law enforcement, hospitality, fashion, science, and banking
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What listeners say about Big Data in Practice
Average customer ratingsReviews - Please select the tabs below to change the source of reviews.
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Overall5 out of 5 stars
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Performance5 out of 5 stars
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Story5 out of 5 stars
- Hannah Barry
- 25-06-20
Fantastic content and an engaging narrator.
This book was a definite eye-opener to the reality of data. It was insightful and though provoking. The book was full of information that Piers delivered informatively, with the added bonus of accents. Thank you Bernard and Piers
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Overall4 out of 5 stars
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Performance3 out of 5 stars
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Story4 out of 5 stars
- Mo
- 06-09-17
Good insight for the uninitiated in data mining
Good read. The voice is a bit monotonic but the book is worth listening to. It gives a glimpse to the way data mining is increasing playing a major role in bussiness
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2 people found this helpful
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Overall3 out of 5 stars
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Performance2 out of 5 stars
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Story3 out of 5 stars
- G E Smith
- 25-05-18
Interesting case studies ‘marr’ed by terrible voice accents!
If you want to understand how some of tech’s biggest unicorns applied big data to their situations (back in 2013-15, at least) then it’s an interesting read.
However, the narrator’s fondness for playing with regional accents during each case study ranges from distracting to embarrassing!
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Overall2 out of 5 stars
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Performance2 out of 5 stars
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Story2 out of 5 stars
- Adnan Shroufi
- 31-10-17
Lacking in detail, very general.
More of a collection of general points than a serious book to be read and studied.
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5 people found this helpful
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Overall1 out of 5 stars
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Performance4 out of 5 stars
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Story2 out of 5 stars
- AGNIESZKA
- 07-09-17
The most dissapointing read ever!
If anyone benefited from spending time with this production it would have to be total beginner who has no clue about what Big Data means. Even then there is probably number of better positions explaining subject and saving a reader from cliches. In fact I call it a book of cliche! Never seen so many in one place; author also likes word "huge" and use it everywhere replacing need for quantifiable data. Surely, specific details are not what the writer is bothered with here. Huge for all and we done ;). BTW. Facebook came up with some of most powerful/known Big Data platforms and arguably is the biggest R&D player in the area; not mere user. I expected that the author of the book would know/mention that. Summing up, book seems like written by marketing people for marketing audience; little substance and a lot of big meaningless words.
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9 people found this helpful
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Overall2 out of 5 stars
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Performance4 out of 5 stars
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Story1 out of 5 stars
- Random
- 21-11-17
Pretty bland book
Very little technical information and those that are there are written without much understanding of how they are used and some wishful thinking on results.... You'll probably get more out of doing your own research based on the table of contents
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1 person found this helpful