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 25, 2022
How to Drive Better Insights with an Analytics-Driven CultureI 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…
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 13, 2022
Ways to Enhance Data Accessibility and Time-to-InsightsI 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…
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 27, 2022
How to Use the Best AutoML Tools to Scale ML…with CautionThe 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…
