Social Media 2012 – The Year in Review Part II – The Good
Yesterday, I discussed my top five negative trends in social networking, but that’s no way to end a year. Today, for my final post of 2012, I want to…
A Super Bowl Game Plan For Content that Scores
As a football fan (both three-down and four-down versions), watching the Super Bowl is something I enjoy doing, with or without a rooting interest…
App Shows Potential of Braille in the Digital World
While most of the technical innovations that have had a profound impact on my life have been hardware-based, imagine my excitement when my newest…
Winning Web Solutions Requires a Team Effort
This evening, the Echidna team will be gathering together in a private box to watch our junior hockey team. It’s a great opportunity to leave the shop…
Changing the Landscape ...
Last week, 100,000 users were given access to the much anticipated Google Wave. Google Wave is an online tool for communication and collaboration. A…
Do You Have a Facebook Plan?
Let's be honest, before getting started with anything you need a plan - and with Facebook it's no different. Too often, I've seen businesses…
Why Do Consumers Take To Social Media to Voice Their Problems?
If you're a Business you may be surprised to hear that it’s not just about solving an issue, it’s more about if your business is living up to its…
Accessibility Matters - Exploring the Hows and Whens of Alternative Text
The most frustrating part of accessing the web as a blind user, in my opinion, is images. Whether they're infographics or pictures used to add a…
Overhauling a Retail Giant’s Data Layer: Northern’s Strategy for the Tealium Stack
When a major retailer merged with a new business unit, analytics took a back seat. The result was a disjointed data layer, broken event tracking, and a Customer Data Platform (CDP) that could not deliver on its promise. Over time, a patchwork of bandage fixes added complexity to the setup, leading to inconsistent tagging, lost data, and growing frustration across teams. With all of these issues compounding, the question became clear: how do you rebuild confidence in the data?