March 1, 2022

How to Liberate Your Data [Scientists] with a Semantic Layer

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…

Posted by: Gaurav Rao

February 24, 2022

Data Leader Interviews: Lessons Learned from Cigna, Visa, Amazon & HCL

I recently connected with a few of the top data leaders to discuss the role of business analytics and machine learning at their organizations. We chatted about the nuances of global data programs, promoting data literacy at large enterprises, measuring…

Posted by: Dave Mariani

February 17, 2022

Using AtScale’s Semantic Layer with Data Science Use Cases

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…

Posted by: Daniel Gray

February 15, 2022

Accelerate Your Path to Self-Service Data Access

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…

Posted by: Brian Prascak

February 10, 2022

How to Turn Unstructured Medical Records Into Actionable Insights

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…

Posted by: Dave Mariani

February 8, 2022

Developing Smarter, Faster Insights from Business Intelligence

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…

Posted by: Brian Prascak

February 1, 2022

A Business-Oriented Semantic Layer for Your Databricks Lakehouse

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…

Posted by: Anurag Singh