March 17, 2022

Improving Data Quality with a Semantic Layer

The data economy is being embraced worldwide across industries because companies that are data driven show improved business performance. In fact, data has given companies such as Netflix, Facebook, Google and Uber a distinct competitive advantage. Although nearly every company…

Posted by: Prashanth Southekal, PhD, MBA

March 10, 2022

AtScale + Tableau: What do Toyota, Wayfair and Tyson Have in Common?

When I talk to customers, they always find value in stories about how our other customers are progressing on their data and analytics initiatives and their journeys toward realizing self-service BI.  This post will do a deep dive into a…

Posted by: Dave Mariani

March 8, 2022

The Centralized Data Repository: Breaking Down Data Silos

When it comes to effective consumption of data for business insights, there are six key capabilities: data, access, model, analyze, consume, and insights. AtScale’s Data and Analytics Maturity Model Workshop explains how organizations can build the skills and knowledge necessary…

Posted by: Dave Mariani

March 3, 2022

AtScale + Tableau | Accelerating Self-Service BI with a Semantic Layer

We've been publishing a lot of new case studies based on our experience helping customers get value from AtScale's semantic layer.  With that in mind, we’d like to delve into our partnership with Tableau. The well-known data visualization tool is…

Posted by: Dave Mariani

March 1, 2022

How to Liberate Your Data [Scientists] with a Semantic Layer

Every business decision, keystroke, or mouse click is a potentially valuable data point. Most companies don't have any trouble generating and storing their data these days, and there are mature technologies that help companies break down silos to get all…

Posted by: Gaurav Rao

February 24, 2022

Data Leader Interviews: Lessons Learned from Cigna, Visa, Amazon & HCL

I recently connected with a few of the top data leaders to discuss the role of business analytics and machine learning at their organizations. We chatted about the nuances of global data programs, promoting data literacy at large enterprises, measuring…

Posted by: Dave Mariani

February 17, 2022

Using AtScale’s Semantic Layer with Data Science Use Cases

AtScale’s semantic layer allows users to have one single place to define business constructs like KPIs (i.e. time series calculations) and first-class dimensionality/hierarchies (i.e. time, geography, product, customer, etc.). Whether you are on the business intelligence (BI) or data science…

Posted by: Daniel Gray

February 15, 2022

Accelerate Your Path to Self-Service Data Access

Many companies struggle with making data available quickly and structured in a way  to enable the generation of actionable insights, particularly using a self-service delivery model. As the amount of data available via modern data platforms and sources continues to…

Posted by: Brian Prascak