It takes the average reader 4 hours to read Big Data at Work by Thomas Davenport
Assuming a reading speed of 250 words per minute. Learn more
Go ahead, be skeptical about big data. The author was—at first. When the term “big data” first came on the scene, bestselling author Tom Davenport (Competing on Analytics, Analytics at Work) thought it was just another example of technology hype. But his research in the years that followed changed his mind. Now, in clear, conversational language, Davenport explains what big data means—and why everyone in business needs to know about it. Big Data at Work covers all the bases: what big data means from a technical, consumer, and management perspective; what its opportunities and costs are; where...
Big Data at Work by Thomas Davenport is 240 pages long, and a total of 60,000 words.
This makes it 81% the length of the average book. It also has 73% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 5 hours and 27 minutes to read Big Data at Work aloud.
Big Data at Work is suitable for students ages 12 and up.
Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.
When deciding what to show young students always use your best judgement and consult a professional.
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