Blog

Updated March 17, 2022

The data economy is being embraced worldwide across industries because companies that are data driven show improved business performance. In fact, data has given companies such as Netflix, Facebook, Google and Uber a distinct competitive advantage. Although nearly every company…

Updated March 8, 2022

When it comes to effective consumption of data for business insights, there are six key capabilities: data, access, model, analyze, consume, and insights. AtScale’s Data and Analytics Maturity Model Workshop explains how organizations can build the skills and knowledge necessary…

Updated March 3, 2022

We've been publishing a lot of new case studies based on our experience helping customers get value from AtScale's semantic layer.  With that in mind, we’d like to delve into our partnership with Tableau. The well-known data visualization tool is…

Updated March 1, 2022

Every business decision, keystroke, or mouse click is a potentially valuable data point. Most companies don't have any trouble generating and storing their data these days, and there are mature technologies that help companies break down silos to get all…

Updated December 2, 2025

Many companies face challenges in developing a roadmap for data, insights, and analytics. This blog stresses how an enterprise data strategy is a critical guidepost for articulating an effective set of use cases and a clear roadmap that scales with…

Updated February 17, 2022

AtScale’s semantic layer allows users to have one single place to define business constructs like KPIs (i.e. time series calculations) and first-class dimensionality/hierarchies (i.e. time, geography, product, customer, etc.). Whether you are on the business intelligence (BI) or data science…

Updated February 10, 2022

Patient documentation has come a long way since the days of doctors writing patient notes with pen and paper. Today, Electronic Medical Record (EMR) systems can capture, exchange, and store medical records automatically. These advances have been significant for providers…

Updated February 3, 2022

AtScale’s semantic layer platform makes data more accessible and business-friendly, and bridges the gap between business intelligence (BI) and data science teams. A semantic layer presents a consistent set of business metrics for teams across your organization to enable everyone…

Updated February 1, 2022

A semantic layer strategy lays the foundation for a scalable business intelligence and enterprise AI program and complements the power of modern cloud data platforms.  Key benefits include: Business metrics stay consistent across the organization.  Analysts can access a broader…

Updated January 21, 2022

*This post was originally published by the author, Anurag Singh. You can view the original post here. Making data accessible to everyone within an organization is a challenge that most companies face. For example, data scientists generate forecasts and predictions…