November 1, 2022
4 Key Takeaways from the Semantic Layer SummitWe recently hosted a virtual Semantic Layer Summit with our friends at Snowplow, Databricks, DAS42, and InterSystems. During the event, we gathered data leaders and top industry technologists to discuss the importance and impact of using a semantic layer for…
October 27, 2022
How To Improve Data Quality Using a Semantic LayerData 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…
October 20, 2022
How To Implement Decision Intelligence in Your Enterprise With A Semantic LayerHow To Implement Decision Intelligence in Your Enterprise With A Semantic Layer On average, firms invest over $38 million in data and analytics. However, more than 79% of these firms end up with zero or negative returns on this investment.…
October 18, 2022
Defining the Modern Data LandscapeThe 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…
October 11, 2022
How to Leverage Analytics Like a LeaderUsing 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%…
October 6, 2022
Three Ways a Semantic Layer Helps Scale AI and BIAtScale 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…
October 4, 2022
Getting Started with a Semantic Layer with Snowflake and AtScaleMore 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…
September 29, 2022
The Rise of the Semantic Layer: Enabling Speed, Scale and Cost Effectiveness To Deliver Actionable Insights and AnalyticsIt’s hard to believe that just 15 years ago, big data and cloud technology emerged with the introduction of Hadoop and cloud vendor offerings. Over the past 5 years, most enterprises have moved to the cloud, motivated by the dual…
September 22, 2022
Using the Semantic Layer for AI/ML Product DevelopmentThe 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…
September 20, 2022
Why the Semantic Layer Is Critical to the Hub-and-Spoke Analytics ModelAtScale 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…
