October 27, 2022

How To Improve Data Quality Using a Semantic Layer

Data quality is one of the most difficult — yet essential — elements for businesses to master to achieve their operational goals. This post explores multiple facets of data quality and explains how to turn fragmented, inaccurate, and unusable data…

Posted by: Vidhi Chugh

October 25, 2022

How to Drive Better Insights with an Analytics-Driven Culture

I recently spoke with a roundtable of data and culture industry experts about how to foster an analytics-driven culture to drive more actionable, valuable insights. We discussed how organizations can become data leaders, the importance of change management, and why…

Posted by: Dave Mariani

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

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 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