When I first thought about writing a blog post about data management, picking a topic was an obvious, if daunting, first step. The challenges facing both IT and business are increasing in the era of bigger, more complex and more immediate data. My experience working with organizations across a variety
If people are the heartbeat of an organization, data is the blood that moves with each pulse. When everything is flowing smoothly the organization thrives. Unfortunately, it is not hard to imagine instances where something malfunctions. Little by little vital components will slow, break, or shut down. Is there a
When it comes to data management, is it okay to cross the streams?
Forget candy or tricks and treats. Today, @ocdqblog insists we celebrate the festival of dead data.
In a galaxy far, far away, @ocdqblog explains how data management relates to his favorite sci fi movies.
Lately, in consulting with customers about SAS solutions, I’m increasingly seeing discussions revolve around 3 inter-related but distinct segments: Information Management, Analytics, and Campaign Optimization. In the past, these discussions might have happened with 3 different audiences in 3 different meetings, but we are seeing a massive convergence across these
I'm always a fan of moving beyond the buzz, so the new research from Nucleus Research, "Big Data: Beyond the Buzzwords," caught my eye. Besides providing a quick, simple definition ("big data is all about creating, analyzing, and managing large data sets"), The 3-page report does a nice job distilling
I was fortunate to participate in the SAS Power Series event that was held in Minneapolis recently. This event brought together seasoned analytic users from a variety of companies to share their experiences, successes and challenges as they strive to leverage analytics to help drive their business. Although the business
As big data grow beyond buzzwords, leading organizations are looking to innovators who understand the possibilities and can help them do something useful with all that information. Yesterday at The Economist's Ideas Economy: Information conference being held in Santa Clara, California, attendees heard from some of the industry’s most knowledgeable
The basic big data problem is simple to understand: we create too much data to store and analyze it all. The problem gets bigger, however, when you consider the related factors: our problems themselves are getting bigger, the analytics needed to solve them are more complex and the data is
