Blog:
Cloud Analytics Optimization

Updated November 17, 2025

Real-time AI analytics feels like the future: instant insights, natural conversation, decisions without delay. But behind the scenes, that future comes with a big catch: every AI query costs money, and those costs compound fast. Many of our customers see…

Updated May 27, 2025

If your Power BI dashboards feel more like a waiting game than a real-time tool, you're not alone. Many teams struggle with sluggish performance when connecting Power BI to Snowflake. Dashboards that should load in seconds often take minutes. The…

Updated April 17, 2025

Picking Up From Part 1: Why Technical Evaluation Matters After realizing a semantic layer could solve PrecisionWorks’ biggest data headaches, Alex, a data engineer, moves on to a critical step: evaluating vendors. (Missed the beginning? Catch up on Part 1:…

Updated April 3, 2025

The Rising Cost Challenge for Power BI Customers Organizations across industries rely on Power BI to drive business intelligence and inform strategic decisions. However, as data volumes increase, so do the associated costs. Businesses often face growing expenses related to…

Updated August 17, 2026

A cross-cloud semantic layer gives you one consistent, governed view of your data no matter which cloud warehouses or lakehouses it lives in, so you don't have to duplicate metrics logic across Snowflake, Databricks, BigQuery, and Redshift. It's how enterprises…

Updated March 25, 2025

What is Cloud Cost Optimization? Cloud cost optimization is the practice of reducing cloud expenses while maintaining performance and scalability. It involves analyzing cloud usage, right-sizing resources, implementing automation, and leveraging cost-saving tools to maximize efficiency. The goal is to…

Updated August 4, 2022

AtScale’s partnership with Snowflake has dramatically expanded our customers' data processing capabilities — guiding them toward analytics modernization. From delivering analysis-ready data to extending legacy tool services through dialect support, data practitioners can now deliver blazing-fast dimensional analysis to enable…

Updated April 14, 2022

During another round of interviews with data leaders, I spoke with several industry experts about creating and fostering a data-driven culture. We discussed different data architectures, the gap between data produced and data consumed, data literacy, and more. The data…

Updated 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…

Updated 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…

Updated 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…

Updated December 2, 2025

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…