May 1, 2025
Semantic Agents: Bridging the Gap between Data Silos and Actionable InsightsThis post was written by Dr. Arun Marar, PhD, MS, Dr. Prashanth Southekal, PhD, MBA, and Tobias Zwingmann, MS. It was originally published on the website D2A2. Most business enterprises have data silos due to a combination of organizational, technical,…
April 29, 2025
Top 5 Reasons to Attend the 2025 Semantic Layer Summit: AI, GenAI, NLQ & MoreAs the data and analytics landscape evolves rapidly, enterprise organizations are rethinking how they deliver scalable, governed, and intelligent insights. At the center of this transformation? The semantic layer—a foundational component of the modern data stack that bridges business users…
April 24, 2025
How to Get Executive Buy-In for a Semantic Layer: Turning Technical Wins Into Business ValueWhy Executives Need to See the Business Value of a Semantic Layer After months of rigorous testing, Alex, the data engineer at PrecisionWorks, has validated a semantic layer that transforms analytics across the enterprise. (New to this story? Catch up…
April 22, 2025
How Vodafone Portugal Transformed Telecom Analytics with AtScale’s Semantic Layer + CelfocusIn telecommunications, data is abundant, but turning it into useful insights can be extremely difficult. Communication Service Providers (CSPs) operate in a fast-paced, highly competitive market, where success depends on efficiently managing massive volumes of data quickly and reliably. But…
April 17, 2025
Evaluating a Semantic Layer: How Technical Teams Drive ROI Through Smart Data InfrastructurePicking 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:…
April 15, 2025
Connect Excel to Snowflake Without ODBC: Smarter Alternatives for Business UsersExcel remains a go-to tool for business users who want quick, flexible access to data. But when it comes to connecting Excel to Snowflake, the traditional route — via ODBC — can be a technical nightmare. Driver installs, authentication headaches,…
April 10, 2025
Top 5 Considerations When Choosing a Semantic Layer for Modern Data StacksUnderstanding the Challenge: A Day in the Life of a Data Engineer Meet Alex, a data engineer at PrecisionWorks, a global manufacturer managing a large-scale enterprise data ecosystem. Every day, Alex battles: Data silos across CRM, ERP, and third-party systems…
April 9, 2025
Modernizing OLAP for the Cloud: Why Legacy BI Needs a Semantic UpgradeOrganizations that have relied on OLAP cubes for years are hitting a wall. The traditional OLAP approach—great for fast, multidimensional analysis—was never designed for the modern cloud data ecosystem. And with the rise of cloud data platforms like Snowflake, Databricks,…
April 7, 2025
Snowflake Cost Management & Control: Best Practices for Enterprise BI WorkloadsAs organizations scale their Snowflake deployments to support enterprise-level BI workloads, cost control quickly becomes a top priority. While Snowflake’s pay-per-use model is powerful, it can lead to unexpected expenses when query inefficiencies and overprovisioned compute go unchecked. Read on…
April 3, 2025
How a Typical Power BI Customer Can Save Millions in Annual CostsThe 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…
