Blog

Updated January 27, 2021

Data 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

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:…

Updated July 1, 2020

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…

Updated June 24, 2020

You are probably familiar with the concept of a semantic layer. According to Wikipedia, “a semantic layer is a business representation of corporate data that helps end users access data autonomously using common business terms. A semantic layer maps complex…

Updated May 4, 2020

Imagine the scenario. You are a marketing manager and you want to get a list of customers to focus on in your next upsell campaign and your primary BI tool is Excel. You are happily slicing and dicing the data…

Updated January 13, 2020

In an ever-accelerating information age, the companies most likely to succeed are the ones that not only glean the most profitable insights from their data, but do it faster and more nimbly than their competitors. In fact, according to ESG,…

Updated January 8, 2020

In order for big data analytics to work optimally, data must be consumerized–that is, it must be readily available to all stakeholders across the organization in a self-service manner, while ensuring reliability and security.  What are the most common barriers…

Updated October 18, 2019

It only makes sense that organizations are investing in universal semantic layers.  Providing analysts and business users universal access to data that can be understood by their BI tool of choice has become mission-critical. And that’s exactly what a universal…

Updated March 6, 2019

Is it October already? It’s hard to believe that October is here. It feels like only a few days ago that we released AtScale 5.0 and AtScale 5.5. Both releases contained a number of great new features that I was…

Updated March 4, 2019

Research shows that the average enterprise has at least 6 to 10 Business Intelligence tools. Microsoft Excel, the world's most prevalent analysis tool is used by 1 Billion users. Other companies like Tableau, Qliktech, MicroStrategy or Business Objects have had…