With the rush to build “real-time” analytics platforms, is there such a thing as getting too much data?
In this article, we’re going to explore some lessons learned in the direct marketing industry and apply them to optimizing websites. Sometimes you need to give things enough time to play out before reacting to events on the web…
DevOps Eye for the Analytics Guy
We may not be deploying cloud servers at the drop of a hat, but the analytics community can take a few lessons from our friends in the DevOps movement. DevOps, short for Developer Operations, has …
Continue readingThe Business of Fraud: What I Learned Tracking A Credit Card Fraud Ring
I made an abrupt career change about ten years ago during the first dot-com recession, moving from a marketing role to working on credit card fraud detection projects. At the time I thought I was basically treading water – …
Continue readingBlog Comment Spam vs. Effective Marketing – Managing The Balance
Written in reaction to the early 2010’s trend of leaving blog comments to build links to a new website. This is generally considered an obsolete SEO technique but we include it for historical perspective.
Diving into R
Spent most of the past week working on my first “serious” R scripting project. I’ve been using R for a couple of years, generally as a free minitab replacement (using the R Commander GUI interface) …
Continue readingWhy Every Analyst Should Learn To Code
In recent years, I’ve seen a new breed of analyst emerge. Indeed, more than a few of my superiors have encouraged me to join their ranks. This new breed of analyst knows statistics and finance but prefers …
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