November 14, 2024

The Benefits of Data Storytelling in Building a Data-Driven Culture

In today’s data-driven world, organizations are constantly seeking ways to harness the power of data. Yet many struggle to translate these insights into impactful actions. Compelling data storytelling is the bridge between raw data and meaningful action. But how can…

Posted by: Dave Mariani

November 6, 2024

AtScale’s Public Leaderboard for Text-to-SQL Tasks

Generative AI has caused an explosion of interest in Text-to-SQL use cases. A Text-to-SQL solution would enable decision makers to ask freeform questions of their proprietary data without having to write code or work through data engineering and analyst groups.…

Posted by: Jeff Curran

October 31, 2024

5 Common Data Challenges & How a Semantic Layer Can Solve Them

In today’s fast-paced business environment, the ability to make quick, informed decisions is a critical differentiator. However, organizations often face significant data challenges when it comes to data-driven decision-making. These challenges typically stem from the absence of a semantic layer,…

Posted by: Dave Mariani

October 24, 2024

How to Choose a Semantic Layer and the Technical Features to Look For

Businesses increasingly turn to semantic layers to bridge the gap between raw data and insightful decision-making in the rapidly evolving data landscape. The right semantic layer can be the linchpin for achieving faster data accessibility, improving collaboration between business and…

Posted by: Brendan Peterson

October 21, 2024

How to Optimize Modern Data Models Without Sacrificing Proven BI Techniques

Tabular models and the Data Analysis Expression (DAX) language offer Microsoft Power BI users enormous analytic and visualization capabilities. As powerful as these tools are, when using them, it can feel like one is reinventing the wheel to solve basic…

Posted by: Daren Drummond

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