April 2020
Intermediate to advanced
192 pages
2h 28m
English
by Thomas C. Redman
There are plenty of great ideas and techniques in the data space: from analytics to machine learning to data-driven decision making to improving data quality. Some of these ideas have been around for a long time and are fully vetted, proving themselves again and again. Others have enjoyed wide socialization in the business, popular, and technical press. Indeed, the Economist proclaimed that data is now “the world’s most valuable asset.”1
With all these success stories and such a heady reputation, one might expect to see companies trumpeting sustained revenue growth, permanent reductions in cost structures, dramatic improvements in customer satisfaction, and other benefits. ...
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