2012 Quarterly Review (Part 4)

Jan 02, 2013 by Jim Harris

Welcome to the unofficial 2012 quarterly review that I have decided to perform on the Data Roundtable. In this four-part series, I will select and summarize my favorite posts published on this blog during each quarter of this year, selecting one post per contributor per month.

Part 1 of this series covered blog…

2012 Quarterly Review (Part 3)

Dec 19, 2012 by Jim Harris

Welcome to the unofficial 2012 quarterly review that I have decided to perform on the Data Roundtable. In this four-part series, I will select and summarize my favorite posts published on this blog during each quarter of this year, selecting one post per contributor per month.

2012 Quarterly Review (Part 2)

Dec 12, 2012 by Jim Harris

Welcome to the unofficial 2012 quarterly review that I have decided to perform on the Data Roundtable. In this four-part series, I will select and summarize my favorite posts published on this blog during each quarter of this year, selecting one post per contributor per month.

Part 1 of this series covered blog…

2012 Quarterly Review (Part 1)

Dec 05, 2012 by Jim Harris

Welcome to the unofficial 2012 quarterly review that I have decided to perform on the Data Roundtable. In this four-part series, I will select and summarize my favorite posts published on this blog during each quarter of this year, selecting one post per contributor per month.

Part 1 covers blog posts from January,

Facing Maturity – Mastering the Enterprise Data

Aug 14, 2012 by Joyce Norris-Montanari

Mastering your enterprise data isn’t just about an IT solution to consolidate and integrate corporate data (or subject areas-customer, product, human resources, etc.) into a repository that can be used for the enterprise applications.  It is also about the mentality and readiness to manage the data environment.  I have had the opportunity to visit with companies that have decentralized…

It IS About the Data – Mergers and Acquisitions – Part 3

Aug 06, 2012 by Joyce Norris-Montanari

Keep each company separate, and integrate data ONLY when necessary.  Sounds easy, right?  Well, actually this is a much easier solution to implement quickly – AT FIRST.  The first place of integration is usually reporting and analytics (i.e. the data warehouse) and usually around financials.  A data warehouse platform can be created that integrates the data required (over time) for use by the business for most of their needs quickly.  

What They Do With What They Know

Jul 24, 2012 by David Loshin

Presumably, the objective of collecting personal information about you is to “provide tailored content,” which translates into getting you better precision on results from your searches and (more importantly) delivering better customized ads to your desktop. The first aspect can be seen in comparing the results delivered to two different people conducting the same search with identical search terms – the results are probably going to be similar but not the same. The second aspect goes beyond what is delivered on the right side of the screen when you get your search results. Rather, the penetration of Google ad stuff is pervasive, especially when considering that Google owns ad content server companies that track cookies, etc. across a network of pages.

Obesity and the Data Revolution

Jul 20, 2012 by Phil Simon

A frequent topic on this site is sentiment analysis and that shouldn’t be a surprise here. Consider some recent trends: open APIs, a drop in start-up costs for new companies, fascinating new data sources, and incredibly powerful new tools including data visualization. Against that backdrop, sentiment analysis promises to provide profound insights into many relatively uncharted areas.

Analyzing the Google Plus Ghost Town Theory

Jun 28, 2012 by Phil Simon

I was reading a recent article about whether Google+ was a ghost town. One one hand, the way the Google execs spin it, it’s the fastest growing social network in history. By contrast, skeptics say that Google creatively defines “engagement” and that Plus’ initial buzz has worn off. I fell into the latter camp but decided one morning to test this hypothesis.