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/ 7 MIN READ

How a Semantic Layer Turns Excel into a Sophisticated BI Platform

Microsoft Excel has been the workhorse analytics tool for generations of business analysts, financial modelers, and data hacks. It delivers the ultimate flexibility to manipulate data, create new metrics with cell calculations, build live visualizations…

Posted By: Josh Epstein

/ 8 MIN READ

Building Time Series Analysis on Snowflake with a Semantic Layer

In a recent post , we discussed how a semantic layer helps scale data science and enterprise AI programs. With massive adoption of Snowflake’s cloud data platform, many organizations are shifting analytics and data science…

Posted By: Daniel Gray

/ 8 MIN READ

How Analytics Governance Empowers Self-Service BI

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…

Posted By: Dave Mariani

/ 5 MIN READ

Making Raw Data Analysis-Ready with Dimensional Modeling

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…

Posted By: Dave Mariani

/ 5 MIN READ

Building a Semantic Layer with AtScale on Amazon Redshift

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…

Posted By: Dave Mariani

/ 5 MIN READ

Breaking the Cognitive Bottleneck with Prescriptive Analytics

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…

Posted By: Dave Mariani

/ 4 MIN READ

AtScale in Action: How to Make Power BI Perform on Snowflake

Many enterprises today choose the Microsoft stack because it fits seamlessly with the Windows OS and existing business applications. That’s why AtScale has partnered with Snowflake to streamline reporting and analytics with Power BI .…

Posted By: Dave Mariani

/ 5 MIN READ

User Story: The Journey to Self-Service Data Analytics

Self-service data analytics is a major milestone for many enterprises, but it often requires an iterative approach to data and analytics architectures to get there. Learn more about how a multi-billion dollar consumer packaged goods…

Posted By: Dave Mariani

/ 7 MIN READ

Augmented Analytics: The Convergence of BI and Data Science

One of the defining themes of digital transformation is the proliferation of AI-driven insights across all enterprise business processes. With the growth of cloud data platforms, the complexity of managing big data has been radically…

Posted By: Daniel Gray

/ 4 MIN READ

Accessing Analysis-Ready Third-Party Data with a Semantic Layer

In a previous post, we talked about using AtScale’s semantic layer to merge Foursquare Places data with first-party data. By blending third-and first-party data, organizations can improve their decision-making capabilities using advanced analytics and predictive…

Posted By: Daniel Gray