Blog

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 15, 2022

Many companies struggle with making data available quickly and structured in a way  to enable the generation of actionable insights, particularly using a self-service delivery model. As the amount of data available via modern data platforms and sources continues to…

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 8, 2022

Many companies struggle with making data available rapidly, while structuring and integrating this data effectively to enable the creation of actionable business intelligence insights and analytics. With an ever-increasing amount of data available via modern data platforms, companies need to…

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 25, 2022

Many organizations still view machine learning and big data analytics through a technical prism. Business leaders know that the fundamental value proposition of these methodologies is in achieving better business outcomes.  I had the pleasure to discuss this topic with…

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…

Updated December 16, 2021

AtScale partner DataRobot today announced DataRobot Core, a program including platform enhancements, resources, and community support targeting code-first data scientists. Code-first data scientists and enterprise AI developers have a specific set of needs from technology providers - requiring the flexibility…