Looking for a female speaker for your next conference, or for an expert source on analytics who is also a woman? Meta Brown published a booklet today on 262 women who have literally written the book on any analytics related topic you can think of.
With a worldwide operation, complicated supply chains and retail outfits on top of manufacturing responsibilities, getting product to the buyer is not as easy as Adidas makes it seem. But using a data mining and loss prevention program powered by Oracle MICROS XBRi, the company has harnessed its point-of-sale data to cut down on preventable losses and build a leaner business.
Instead of focusing on impressive results, I took the opportunity to expose a bit of the imperfect process that leads to them. I did it because Julia taught me that bringing the process into the open, flaws and all, can take the fear out of data mining.-Meta Brown
Meta Brown is one of the top analytics consultants in the industry and author of the just released "Data Mining for Dummies." She wrote a guest post this week on what we can learn about data mining from "The French Chef," aka Julia Child. We can learn a lot from Meta's post including how to teach anayltics to others in our organization so that data democratization doesn't go awry in the course of the spreading data mania.
Meta Brown is back with a book all about data mining.
Data on the most closely held companies is open to media for mining--and it comes free of charge.
Hidden data from London's oldest criminal court could change history after it's all mined and analyzed.
Threats against mobile networks are increasing in number and sophistication, but the underlying network security architecture has not been updated to keep pace with those threats, warned Selim Aissi, vice president for global information security at Visa, during a panel discussion at the RSA Conference this week.
If you're into big data about big data, check out KDNuggets' interesting charts and analysis on the top 2013 LinkedIn Groups for analytics, big data, data mining and data science. As usual, editor Gregory Piatetsky doesn't disappoint.
Amazon is collecting viewer feedback in innovative ways in order to improve the traditional TV development process.