Blog

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 November 29, 2021

AtScale was conceived as an independent semantic layer for data and analytics for business intelligence users. Leading BI teams use AtScale to create enterprise metrics hubs, enabling self-serve access to a consistent source of metrics that are tied to data…

Updated October 12, 2021

This is the first of a three part blog series discussing the power of AtScale and Snowflake to help enterprise data science teams scale and leverage the agility of a cloud based infrastructure.  We have written before about the power…

Updated September 30, 2021

Last week, AtScale announced new Excel integrations and we blogged about the ability to use Excel as a powerful business intelligence platform.  In this post, we will cover the basics of using AtScale to connect Excel to a cloud data…

Updated September 28, 2021

In the previous blog in this series on Excel + AtScale, we demonstrated how to connect Amazon Redshift to an Excel Pivot-Table. AtScale is able to leverage Microsoft’s MultiDimensional eXpressions (MDX) protocol to natively deliver a dimensional analysis experience to…

Updated September 22, 2021

Microsoft Excel has been the workhorse analytics tool for generations of business analysts, financial modelers, and data hacks. It delivers the ultimate flexibility to manipulate data, create new metrics with cell calculations, build live visualizations and slice and dice data.…

Updated September 14, 2021

In a recent post, we discussed how a semantic layer helps scale data science and enterprise AI programs. With massive adoption of Snowflake’s cloud data platform, many organizations are shifting analytics and data science workloads to the Snowflake cloud. Leveraging the…