October 18, 2022

Defining the Modern Data Landscape

The purpose of this blog is to introduce the modern data landscape. We want to provide our perspective on the data and analytics industry — where we’ve been, where we are now, and where we are heading. We’ll also discuss…

Posted by: Brian Prascak

October 13, 2022

Ways to Enhance Data Accessibility and Time-to-Insights

I recently held a panel discussion with leaders in data management to discuss ways to improve data accessibility across any organization. Our discussion centered around the idea that it’s time to move beyond descriptive and diagnostic insights — reviewing what…

Posted by: Dave Mariani

October 11, 2022

How to Leverage Analytics Like a Leader

Using data has become all the rage — there is hardly any organization that does not have a data and analytics team to understand their customer preferences better and gain a competitive advantage. As per a survey by Forrester, 63%…

Posted by: Vidhi Chugh

October 6, 2022

Three Ways a Semantic Layer Helps Scale AI and BI

AtScale partnered with the DBT Institute to research current sentiment among analytics professionals on the impact a semantic layer has on enterprise analytics. The recently released report, “The Business Impact of Using a Semantic Layer for AI and BI,” examines…

Posted by: Josh Epstein

October 4, 2022

Getting Started with a Semantic Layer with Snowflake and AtScale

More than 10 years after the explosion of big data analytics technologies, data scientists still spend nearly half their time on data preparation. Despite all their hard work preparing data for use, 86% of the data used to create insights…

Posted by: Dave Mariani

September 27, 2022

How to Use the Best AutoML Tools to Scale ML…with Caution

The use of AutoML products has increased drastically in the last few years as AI has become more widely applied in the modern data analytics stack. And there’s still potential for more growth in the years ahead;  according to recent…

Posted by: Zach Eslami

September 22, 2022

Using the Semantic Layer for AI/ML Product Development

The influx of data has increased exponentially over the last decade. As illustrated below, data creation is expected to grow by 86% by 2025 due to an increased digital footprint during the pandemic. [caption id="attachment_20629" align="aligncenter" width="450"] Source: https://www.statista.com/statistics/871513/worldwide-data-created/[/caption] Many…

Posted by: Vidhi Chugh

September 20, 2022

Why the Semantic Layer Is Critical to the Hub-and-Spoke Analytics Model

AtScale had the opportunity to collaborate with Andrew Brust, Founder & CEO of Blue Badge Insights, to explore the history of the semantic layer concept. This post is a summary of his perspective published in a recent whitepaper, The Semantic…

Posted by: Andrew Brust

September 15, 2022

Now Available: AI-Link Lab Environment

At AtScale, we believe in applying data to solve key challenges in the modern data stack for the enterprise. Bringing together key data personas to align on objectives, data, and definitions is crucial for the successful deployment of analytics and…

Posted by: Zach Eslami