Updated December 20, 2022
Using Augmented Analytics for Predictive and Prescriptive AnalysesThere are six key areas for effectively consuming data for business insights: data, access, model, analyze, consume, and insights. For organizations looking to advance in each of these areas, AtScale’s Data and Analytics Maturity Model Workshop explains how teams can…
Updated December 6, 2022
Deploying “Data as Code” Throughout the Entire EnterpriseHow analysts consume data is a key factor in determining how quickly, accurately, and efficiently stakeholders can make data-driven decisions. Without the ability to freely and speedily share data insights, it can take a lot of time, effort, and expertise…
Updated December 1, 2022
Where The Semantic Layer Fits In Your Data StrategyThis blog is part of a series from Vin Vashishta, Founder and Technical Advisor with V Squared. V Squared advises businesses on AI strategy, data product strategy, transformation, and data organizational build-out services. They have helped clients deliver products with…
Updated November 29, 2022
How Semantic Layer Helps Scale up DataOpsThis blog is written by Vidhi Chugh, Staff Data Scientist at Walmart Global Tech. Vidhi is an award-winning AI/ML innovation leader who works at the intersection of data science, product and research teams to deliver business value and insights. She carries…
Updated November 22, 2022
3 Data Analytics Challenges and Examples of How Decision Intelligence Can Help You Tackle ThemThis blog post is part of a series from Ganes Kesari, entrepreneur, AI thought leader, author, and TEDx speaker. He co-founded Gramener, where he heads Data Science Advisory and Innovation. He advises executives on decision-making with data. He helps apply…
Updated November 17, 2022
Making Everyone a Power Data Analyst with a Semantic LayerThe number of data analysts at your organization is a limiting factor that determines how many stakeholders are able to make data-driven decisions. To make better-informed decisions, organizations need to increase the number of people with the tools and expertise…
Updated 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)?”…
Updated 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…
Updated 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…
Updated 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.…
Updated 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…
Updated 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…
