June 4, 2021

How Data Virtualization Supports BI & Analytics

Data 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…

Posted by: Dave Mariani

June 1, 2021

How to Use a Semantic Layer for Data and Analytics

You 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…

Posted by: Chris Oshiro

July 17, 2020

Four Ways to Implement a Universal Semantic Layer

If 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:…

Posted by: Dave Mariani

July 1, 2020

The Cost of Bad Data

According 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…

Posted by: Kayla Chiara