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 March 22, 2021
How SlickDeals Leveraged a Semantic Layer to Enable Self-Service Business IntelligenceRecently, we hosted a webinar with Greg Mabrito, Director of Data and Analytics at Slickdeals, a user-driven deal-sharing site enabling consumers to collaborate and share info to make savvier online shopping decisions. In the session, which you can watch in…
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…
Updated June 24, 2020
Use These Four Resources to Become a Universal Semantic Layer ProYou 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
Self-Service Business Intelligence. What’s Holding You Back?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
Data Liberation: The Rise of True Self-Service AnalyticsIn 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 March 6, 2019
TECH TALK: AtScale 6.0 brings Universal Semantic Layer Benefits to Google CloudIs 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
How a Unified Semantic Layer Can Help Business IntelligenceResearch 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…
