Blog

Updated June 1, 2026

The cost of "good enough" data architecture won't hit your business all at once. That's what makes it so insidious. When Brian Jones, Senior Director of Data Services at Papa Johns, joined the company, he inherited exactly this kind of…

Updated May 22, 2026

Most enterprise AI governance conversations start with LLMs. But when an AI agent returns a wrong answer, the failure usually traces back to a much simpler problem: the business logic behind the answer was never defined in a place the…

Updated May 21, 2026

One day with the platforms, the standard-bearers, and the enterprise architects deciding the next decade of enterprise data architecture. May 20, 2026. The semantic layer has escalated from technical curiosity to strategic imperative. At the first Semantic Layer Summit in…

Updated May 7, 2026

Snowflake, Tableau, and BlackRock named the symptom. Jeremy Arendt at Blue Yonder is showing operators what it actually costs. Jeremy Arendt runs analytics engineering at Blue Yonder, the supply chain platform behind a meaningful slice of the world's trucks, warehouses,…

Updated April 23, 2026

If your organization has invested in AI and isn’t seeing returns, the problem probably isn’t the LLM. It’s the foundation underneath it. The enterprises getting AI into production built semantic infrastructure first: consistent business definitions, governed metrics, and shared context…

Updated March 27, 2026

Enterprise analytics was never just about data. It was about trust and confidence, getting the right people the right information so they could make intelligent decisions and keep things moving forward. The BI stack was made for that purpose, and…

Updated March 17, 2026

In modern data architectures, analytics tools often replicate data from the warehouse into secondary systems to improve performance. While this can speed up dashboards, it introduces new problems: duplicated datasets, inconsistent metrics, fragmented governance, and rising cloud costs. Modern analytics…

Updated September 10, 2025

I’ve been building in the business intelligence (BI) space for over two decades. I’ve seen the rise of self-service BI, the transition to cloud-native analytics, and the promise of augmented insights. Each wave brought new tools, new opportunities, and plenty…

Updated July 25, 2025

As organizations shift their analytics infrastructure to the cloud, many are evaluating whether to replace SQL Server Analysis Services (SSAS) with Snowflake. This analysis compares the two platforms through the lens of semantic modeling — highlighting the strengths and limitations…

Updated July 1, 2025

Many organizations are moving away from legacy SQL Server Analysis Services (SSAS) toward modern, cloud-based platforms like Snowflake. But there's a catch: SSAS isn’t just a storage engine — it’s a powerful semantic layer. Without a plan to replace that…