October 10, 2024

How AtScale’s Semantic Layer Enables Trusted, Real-Time Customer-360 for Top Retail Companies

In today’s data-driven retail environment, organizations constantly collect and analyze vast amounts of customer data to better understand behaviors, preferences, and interactions. However, making this data actionable presents significant challenges, often requiring complex data engineering, aggregation processes, and pipeline management.…

Posted by: Albert Zhou

September 17, 2024

Modernizing Data Teams With a Semantic Layer and Hub and Spoke Model

In today’s fast-paced business environment, data is a crucial asset. Data teams must be modernized with advanced frameworks and technologies to leverage this data effectively. One such approach is integrating a semantic layer and employing a Hub and Spoke model.…

Posted by: Brendan Peterson

September 10, 2024

Introduction to SML – A Standard Semantic Modeling Language

It’s been over ten years since my co-founders and I launched AtScale to democratize analytics for everyone. We quickly realized that we needed to create a business-friendly view on top of the technical data so that ordinary business users could…

Posted by: Dave Mariani

August 22, 2024

Automatic Semantic Model Generation in AtScale

In today's data-driven world, making data accessible isn't just about providing raw datasets; it's about making it understandable and usable for everyone, not just for those who can write SQL or navigate complex databases. To achieve this, organizations need a…

Posted by: Dianne Wood

July 9, 2024

How Semantic Layers Make GenAI 3X More Accurate Than Direct SQL

This blog was written by Mark Palmer. In addition to being an AtScale Board Member, Mark Palmer is a seasoned entrepreneur and technologist. With extensive advisory experience, Palmer offers strategic insights to startups and Fortune 500 companies alike, helping them…

Posted by: Mark Palmer

June 26, 2024

Empowering Generative AI with AtScale

Generative AI, or GenAI, is a powerful new technology capable of answering real business questions without requiring the user to consult an analyst or review a BI report. This capability, called Natural Language Querying or NLQ for short, has historically…

Posted by: Jeff Curran