The Power of Generative AI: Insights from Salesforce Connections 2024
Authored by Sarah Kraushaar, Account Director A couple of weeks ago, I had the opportunity to attend Salesforce Connections in Chicago. If you've been…
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Survey Your Audience
As we mention in almost all of our blog posts here at Echidna, it’s extremely important to begin every new digital project with a clear marketing…
Street Hockey Champions!
From heat exhaustion in 2009 to Play On! champions in 2010 – The Echidna Team wins first place in the Corporate Division at CBC’s Hockey Night in…
Adobe CJA Date Math: Calculate Date Time Differences In Reporting
Guest Author: Tushar Varshney Adobe Solutions Architect, Northern Adobe gave the analytics world the best fall gift there could be, a new capability…
Don’t Find Your Voice. Refine It. Your Brand Should Not Be a Costume
Last night was Hallowe’en. Kids and adults alike dressed up, affected new mannerisms and appearances, and enjoyed the evening. And, at the end of the…
Northern Attended DrupalCon 2022 in Portland, Oregon
Attending DrupalCon is essential to us as an agency that builds digital experiences with Drupal.
YOU Breakfast Reinforces Idea that We Can Make an Impact
We were honoured to be in attendance at yesterday’s Youth Opportunities Unlimited's 12th Annual Breakfast. The power of the speaker and her message…
Don’t Question Success – Ask the Right Questions for Success
Whether you’re developing content for your company’s newsletter (either external or internal) or trying to figure out what your Web site content…
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?