Data = Opportunity: But Are You Monetizing Information?
In 2001, Gartner analyst Doug Laney, coined the term “big-data”, to articulate the impending explosion in Volume, Variety, and Velocity (“the 3…
Will You Always Save Money with Hadoop?
If you answered “yes” to the question posed in the title, you’re right. Because if you’re talking about the open…
A Big Data Cheat Sheet: What Executives Want to Know
In April, I was given the opportunity to present An Executive’s Cheat Sheet on Hadoop, the Enterprise Data Warehouse and…
All Is Not Lost: Finding Value In Marketing Attribution Data
In my last blog, I laid out some facts that call into question the extensive effort many organizations put into…
How Nonprofits Like the YMCA Use Data to Maximize Community Impact & ROI
DRIVING MEMBERSHIPS, OPTIMIZING ADVERTISING & SERVING THE COMMUNITY VIA BETTER DATAThe biggest truth about data is that it only has…
Why Returning $1 Trillion to Shareholders is a Bad Idea
According to the Financial Times, companies are on record pace to return over one trillion dollars to shareholders this year…
The Data Lake Debate: Conclusion (With Apologies to the Rolling Stones)
When I wrote the introduction to the now-celebrated Data Lake Debate, I couldn’t have anticipated the buzz the exchange would…
The Data Lake Debate: Pro Delivers Final Rebuttal and Summary
Okay, this is where the rubber meets the road. I have three minutes (or ~450 words) to respond to Anne’s…
The Data Lake Debate: The Final Word from Negative
Well, it seems you took the gloves off this time, Tamara. I appreciate the valiant effort and your passionate belief…
The Data Lake Debate: Pro Delivers First Rebuttal
In keeping with the spirit of this Lincoln-Douglas debate format, it looks like I only have 4 minutes (or approximately…
