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

January 25, 2022

How Top Data Leaders Align AI & BI to Business Outcomes

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…

Posted by: Dave Mariani

January 21, 2022

How A Semantic Layer simplifies Your Data Architecture

*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…

Posted by: Anurag Singh

December 16, 2021

AtScale Supports DataRobot Core for Code-First Data Science

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…

Posted by: AtScale

December 14, 2021

Data Insights for Everyone — The Semantic Layer to the Rescue

*Author’s Note This article was originally posted as a LinkedIn article by Kirk Borne. Kirk Borne is the Chief Science Officer at Data Prime and has been an influential globally recognized leader in the data science space for 20 years.…

Posted by: Kirk Borne