Dave Mariani

March 24, 2022

When it comes to effectively consuming data for business insights, there are six key areas: 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 to…

March 22, 2022

As customers shift their data infrastructure to cloud data platforms such as Google BigQuery, Snowflake, or Databricks, AtScale is the only provider of a semantic layer and dimensional analysis capability that accelerates performance with no need to extract data from…

March 8, 2022

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…

March 3, 2022

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…

February 24, 2022

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…

February 10, 2022

Patient documentation has come a long way since the days of doctors writing patient notes with pen and paper. Today, Electronic Medical Record (EMR) systems can capture, exchange, and store medical records automatically. These advances have been significant for providers…

February 3, 2022

AtScale’s semantic layer platform makes data more accessible and business-friendly, and bridges the gap between business intelligence (BI) and data science teams. A semantic layer presents a consistent set of business metrics for teams across your organization to enable everyone…

January 25, 2022

Many organizations still view machine learning and big data analytics through a technical prism. Business leaders know that the fundamental value proposition of these methodologies is in achieving better business outcomes.  I had the pleasure to discuss this topic with…

September 9, 2021

Data governance is a broad topic with a lot of players offering commentary and strategy across the data and analytics space. Governance isn’t only about security and access control, or who can access what; it’s also about how data is…

August 17, 2021

Turning raw data into analysis-ready data sets for Business Intelligence (BI) and analytics teams is a challenge for many organizations. While collecting and storing information is easier than ever, delivering data sets that are fully prepped for analysts and decision…

August 12, 2021

Using AtScale to establish a semantic layer on Amazon Redshift delivers several important benefits to modern data and analytics teams. As a single source of governed metrics, and dimensions, AtScale extends the value of Redshift for business intelligence and data…

August 10, 2021

Modern organizations increasingly rely on their analytics programs to help them stay competitive. And, while most every organization is leveraging the massive amounts of data available from their enterprise applications and from 3rd party data providers, it is increasingly common…