Blog

Updated October 25, 2022

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…

Updated October 20, 2022

How 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.…

Updated October 18, 2022

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…

Updated October 13, 2022

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…

Updated October 11, 2022

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%…

Updated October 6, 2022

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…

Updated October 4, 2022

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…

Updated September 29, 2022

It’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…

Updated September 27, 2022

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…

Updated September 22, 2022

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…