December 17, 2019

Big Data Analytics in the Cloud for Today’s Distributed and Diverse Data

Last week, my good friend David Menninger and I discussed the state of Big Data analytics and its future in our webinar “How Distributed, Diverse Data has Transformed Big Data Analytics”.  As the Research Director at Ventana, David highlighted some…

Posted by: Dave Mariani

November 21, 2019

AtScale: A Better SSAS

My co-founders and I started AtScale to change the trajectory of the analytics tools of our day.  As consumers of tools like Microstrategy, Qlik and SQL Server Analysis Services (SSAS) at Yahoo!, we were often disappointed by the complexity of…

Posted by: Dave Mariani

October 18, 2019

Should You Build or Buy Your Universal Semantic Layer?

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…

Posted by: Matt Baird

October 2, 2019

How Adaptive Analytics Can Optimize Cloud Migration for the Healthcare Industry

The healthcare industry is enthusiastically undergoing digital transformation and embracing hybrid cloud architectures. However, cloud migration in the healthcare industry comes with significant challenges.  If there is any disruption to the migration process, or any compatibility issues between old and…

Posted by: Matthew Toomey

September 6, 2019

The Four Cloud Transformation Capabilities of an Adaptive Analytics Fabric

An adaptive analytics fabric has the following four capabilities when bridging the gap between users and data: 1 - Bring all data (silos) to users’ fingertips IT organizations today have common server orchestration tools to manage their on-premises and cloud…

Posted by: Dan Schulwolf

July 26, 2019

Cloud Migration Challenges: Removing Roadblocks

Enterprises are moving to the cloud, but this move to become more data-driven is not without major growing pains along the way. According to CMSWire, in fact, in 2019, only 31% of organizations consider themselves data-driven, compared with 37% just…

Posted by: Charlie Wong