What We’re Reading This Week: Data Mining
Every week we scour the web to bring you a few of the stories we think are worthy of discussion. This week we’re deep in the data weeds, exploring the pros and cons of big data vs. small data, how to use it to make business decisions and whether the role of data scientist is really needed.
We all know that data mining is incredible useful, assuming you know what you’re looking for and have a mechanism for mining and parsing it. But amazingly it’s a hot button topic! Here are a few stories that go deeper into the pros and cons of data mining. Enjoy!
- The Right Way to Use Analytics Isn’t for Planning – by Benjamin Gilad and Magnus Hoppe, HBR.org
- How Too Much Data Can Hurt Our Productivity And Decision-Making – by Bob Nease, Fastco.com
- Why Small Data Is the New Big Data – Interview with Martin Lindstrom, Wharton.edu
- Want Big Data Innovation? Rethink Your ‘Need’ for a Chief Data Officer – by Stefan Groschupf, Entrepreneur.com
- Why Do We Frequently Question Data But Not Assumptions? – by Brent Dykes, Forbes.com
Bonus Story! The most read blog post of the week:
Like what you read? Have suggestions? Drop me a note @mmerwin.
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