May 9, 2025
How Multinational Enterprises Can Solve the Currency Conversion Challenge with a Semantic LayerFor multinational enterprises, currency conversion is more than just a finance function—it’s a complex data modeling challenge that directly impacts revenue reporting, profitability analysis, and strategic planning. Exchange rates fluctuate constantly, and without a flexible, scalable approach to managing them,…
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 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 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…
March 31, 2025
Building Trust in NLQ: How to Improve Cortex Analyst Results in SnowflakeNatural language querying (NLQ) has the potential to make data accessible to everyone — not just analysts and data engineers. But in practice, tools like Snowflake Cortex Analyst often deliver inconsistent or inaccurate results. That inconsistency erodes trust, slows adoption,…
March 27, 2025
Breaking Data Silos with Cross-Cloud Federation and Semantic Layers: Key Takeaways from the TDWI Expert PanelRecently, I had the opportunity to join the TDWI expert panel onBreaking Data Silos with Cross-Cloud Federation and Semantic Layers, alongside industry leaders John Korsak, Enterprise Solutions Engineer from Cube, and Fern Halper, TDWI VP Research, Senior Research Director for…
