2012 was a great year for writers in the world of Information Management. It was a challenging task but the editorial staff has selected the following pieces as the standout favorites. We hope you will enjoy the variety of style and information as you find your favorite.
The Celestial Emporium of Benevolent Knowledge by Malcolm Chisholm
Taxonomies are everywhere in information management, but they are hardly ever formally acknowledged and managed. Also poorly understood is the difference between those who create taxonomies and those who have to actually use them
Google and Other Stalkers by Jim Ericson
As public and private lives merge, algorithmic segmentation can be an unhappy thing
4 Reasons to Kill Your Weekly Status Meeting by Art Petty
Few events do more to suck the life and energy out of a team than the boss’s weekly status meeting. If you are the boss, it’s time to exorcise these from your operating routine.
What is Next for Business Analytics? by Justin Kern
Data warehouse isn’t going anywhere, but competitive evolution involves agile discovery and industry analytic services; decision management support is a long-range plan: Gartner analyst
Breaking the Barrier of Big Data Analytics in BI by Todd Nash
In today’s data-rich society, business users grapple with how to fulfill the promise of big data through innovative approaches to analyze and leverage it effectively
5 Big Data Use Cases
Let’s step back from all of the questions on “how” big data and data analytics can be applied, and take a peek into “where” it would work within the enterprise.
Fast Decisions Trump Perfect Data by Michele Goetz
A reboot on data purging and quality
Predictive Analytics: Making Little Decisions with Big Data by James Taylor
Big data and predictive analytics come together in the operational environment
NASA’s Mars Data Mission by Jim Ericson
Aboard Curiosity and orbiters, humble computing, scant bandwidth make onboard technology a balancing act, says deputy lead who built data transmission gear for “7 minutes of terror”
7 Tips for Effective Data Visualization
Sophisticated models won't do much good unless decision-makers are able to interpret, understand and act on the results appropriately. Here are seven principles for designing analytic visuals that lead to user acceptance and results.