Updated July 15, 2021
How a Semantic Layer Improves Tableau Performance for Dimensional AnalysisI have always been a fan of Tableau, and we have written before on the powerful combination of Tableau and AtScale. With Tableau expanding on its BI and Analytics position with their Salesforce.com acquisition, the potential for building powerful BI…
Updated July 8, 2021
5 Benefits of a Semantic Layer in a Data Fabric DesignIn the first post of this series on Data Fabrics, we defined the enterprise data fabric design pattern and how it can transform your data and analytics operations into a self managing, data factory. And, in our second piece, we…
Updated July 7, 2021
The Role of the Semantic Layer in a Data Fabric DesignIn our first post of this series, we explored the notion of a Data Fabric as a design pattern for assembling technologies and processes to support modern data and analytics infrastructure. Now that we better understand what data fabric is…
Updated June 4, 2026
How Data Virtualization Supports BI & AnalyticsData virtualization refers to a general technology approach of abstracting data away from physical data sources, including data warehouses, data lakes, application data, without having to copy or move it. Data virtualization solutions are generally grouped in with other data…
Updated June 1, 2021
How to Use a Semantic Layer for Data and AnalyticsYou may have heard the term semantic layer before, as it’s been around for some time. Semantic layers were invented to mold relational databases and their SQL dialects into an approachable interface for business users. Until recently, however, the semantic…
Updated May 26, 2021
A Semantic Layer for Shared Data with Secure, Open Source Delta SharingAtScale is a launch partner for the new, open source Delta Sharing project. We see the tremendous value in establishing an open source protocol for data sharing within modern cloud data architectures. Enterprise business intelligence and data science teams are…
Updated May 19, 2021
How Third-Party Data Modeling Enables Smarter DecisionsWhile the use of external data has been around for a long time in some industries, the demand for more data sources continues to grow across all verticals. In fact, research by Forrester and Pitney Bowes found that 92% of…
Updated May 3, 2021
The Data & Analytics Flywheel: What Is It and How Do You Create Your Own?In my last blog, I introduced the Data & Analytics Maturity Model to help organizations evaluate where they fall on the analytics maturity scale. In this blog, I’ll discuss how to create a data-driven decisions “flywheel” to super power your…
Updated February 17, 2021
How To: Blend Data from Salesforce, Google Analytics, and Marketo with the Universal Semantic LayerOur first webinar of 2021, co-hosted by Cat Origitano of FiveTran, a trusted AtScale technological partner, covered one the the most trending topics in the Marketing and Sales space today - “How do I blend incoming data from my MarTech…
Updated January 27, 2021
How a Semantic Layer Can Help You Blend Your SaaS Data to Optimize Sales & Marketing Channel ROIData is everywhere. With dozens of SaaS sales, marketing, and other business applications in use today, companies are witnessing an exponential rise in the volume of data they can access, leverage, and exploit. The same applies to information streams and…
Updated July 17, 2020
Four Ways to Implement a Universal Semantic LayerIf you have been following our content for a while, you are most likely familiar with the concept of a Universal Semantic Layer™. What are the options for delivering one? In a recent webinar, I shared four ways. Option #1:…
Updated July 1, 2020
The Cost of Bad DataAccording to Gartner, decision-making based on inconsistent data is responsible for an average of $15 million per year in losses to the enterprise. Why? Enterprises today are using a variety of tools for KPI reporting that rely on varying subsets…
