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…
AI First is a Hot Topic. AI Second is the Right Way.
Author Brendan Raybuck Every conference keynote, every vendor pitch, every LinkedIn post — the message is the same: put AI at the center of everything…
Adobe Commerce Optimizer Explained: The Modern Path to Storefront Speed
Introduction: The New Era of Adobe Commerce What if you could modernize your commerce experience without tearing everything down and building from…
Consent in the Age of Big Data, Automation, and AI: Why Responsible Data Practices Are a Competitive Advantage
Guest Author: Ben Thompson Director, Business Intelligence & Analytics, Omaha Steaks We live in a digital world powered by data. And it’s this data…
Adobe Experience Platform Profile & Segmentation Guardrails
Author Harish Kulkarni Director, Adobe Solutions Architecture Adobe Experience Platform (AEP) Real-Time Customer Profile is built for fast, cross…
Scaling Content with Generative AI: The Processes That Make It Work
Author: Brendan Raybuck Head of Growth, Northern There’s been no shortage of hype around Generative AI in marketing content production — and for good…
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?