New Tools for New Times – Primer on Big Data, Hadoop and “In-memory” Data Clouds
Data growth curve: Terabytes -> Petabytes -> Exabytes -> Zettabytes -> Yottabytes -> Brontobytes -> Geopbytes. It is getting more interesting. Analytical Infrastructure curve:...
View ArticleSentiment Analytics, Twitter, Federal Reserve and Consumer Pyschology
What do these have in common: The Federal Reserve Bank, Text Analytics, Facebook, Statistical Computations, Big Data and Keyword/Phrase/Boolean searching? Interestingly these are more related than you...
View ArticleEnabling SoLoMoMe + Omni-channel Analytics
At the Analytics Executive Forum, I facilitated a session on Omni-channel analytics. It struck me how every leading consumer facing firm seems convinced that mobile is becoming the dominant B2C...
View ArticleSizing “Mobile + Social” Big Data Stats
“Welcome to the Internet of Customers. Behind every app, every device, and every connection, is a customer. Billions of them. And each and every one is speeding toward the future.” Salesforce.com...
View ArticleEmail Marketing is a Predictive Analytics Problem
Digital Marketing from 1999 to 2012 In his book Permission Marketing, Seth Godin referred to email marketing as “the most personal advertising medium in history”. That was 1999. Where does email...
View ArticleNSA PRISM – The Mother of all Big Data Projects
As a data engineer and scientist, I have been following the NSA PRISM raw intelligence mining program with great interest. The engineering complexity, breadth and scale is simply amazing compared to...
View ArticleQuantified Self, Ubiquitous Self Tracking = Wearable Analytics
The future is here. It’s just not evenly distributed yet.” – William Gibson Self-tracking, Seamless Engagement and Personal Efficiency improvement’s new frontier is Personalized Big Data and Digital...
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