November 8, 2022
How You Can Unlock Decision Intelligence at Scale by Aligning BI with AIRecently, I was talking to the head of technology at a retail conglomerate. The executive was actively planning his foray into data science and asked me, “How can we make the transition from business intelligence (BI) to artificial intelligence (AI)?”…
November 3, 2022
Modernize Your SSAS Architecture with Databricks and AtScaleThis post was written in collaboration with Swaroop Oggu, Solutions Architect at Databricks. Dimensional analysis is an important tool for building analytics-oriented data products (e.g. interactive dashboards) based on data assets managed in a lakehouse. Historically, dimensional analysis has been…
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 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…
