Updated 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

Updated 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

Updated 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

Updated February 22, 2022

Developing an Enterprise Data Strategy

Many companies face challenges in developing a roadmap for data, insights, and analytics. This blog stresses how an enterprise data strategy is a critical guidepost for articulating an effective set of use cases and a clear roadmap that scales with…

Posted by: Brian Prascak

Updated 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

Updated 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

Updated 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

Updated 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

Updated 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

Updated February 22, 2022

Developing an Enterprise Data Strategy

Many companies face challenges in developing a roadmap for data, insights, and analytics. This blog stresses how an enterprise data strategy is a critical guidepost for articulating an effective set of use cases and a clear roadmap that scales with…

Posted by: Brian Prascak

Updated 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

Updated 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