Convergence is becoming more prevalent in the marketing landscape, but it's hard to have a meaningful conversation about convergence unless we attempt to define it across different contexts.
As the digital TV industry continues to evolve, so must the metrics used to measure its success.
What is standing in the way of convergence analytics gaining popularity in the way that Web analytics, and specifically Google Analytics, has?
There will be lots of changes coming to the convergence space in the next year. Here's a look at what's in store and what this may mean for marketers.
There's a growing imbalance between the skills taught in university classrooms and the skills needed and looked for in real-world jobs. What can we do to fix this problem?
Organizations that strive to be "data-driven," such as the Metropolitan Museum of Art, need to find the best ways to interpret their data gleaned from the social Web. This way, they can better understand how to connect with consumers in a relevant way.
Creating visualizations of the data you collect can be helpful, but you need to create a framework for goal measurement first.
Even though we have reportedly "stopped watching TV," the majority of ad dollars are still spent on television ads. Is it because no one can stand Internet ads?
As rumors swirl about a Salesforce Analytics Cloud product, what will this mean for the digital marketing ecosystem? What analytics players will be affected and will the product really be beneficial?
A new ascendance of smart platforms that clean and converge data sets, while also answering questions, could change the convergence analytics landscape as we know it.