Blog

April 29, 2025 / 4 MIN READ

Top 5 Reasons to Attend the 2025 Semantic Layer Summit: AI, GenAI, NLQ & More

As 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 laye r—a foundational component of the modern…

Posted By: Cort Johnson

April 24, 2025 / 5 MIN READ

How to Get Executive Buy-In for a Semantic Layer: Turning Technical Wins Into Business Value

Why 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…

Posted By: Dave Mariani

April 22, 2025 / 4 MIN READ

How Vodafone Portugal Transformed Telecom Analytics with AtScale’s Semantic Layer + Celfocus

In 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…

Posted By: Cort Johnson

April 17, 2025 / 5 MIN READ

Evaluating a Semantic Layer: How Technical Teams Drive ROI Through Smart Data Infrastructure

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?…

Posted By: Dave Mariani

April 15, 2025 / 3 MIN READ

Connect Excel to Snowflake Without ODBC: Smarter Alternatives for Business Users

Excel 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…

Posted By: Macaulay Parker

April 10, 2025 / 5 MIN READ

Top 5 Considerations When Choosing a Semantic Layer for Modern Data Stacks

The five things that matter most when choosing a semantic layer for a modern data stack are use case compatibility, connectivity, security and governance, query performance management, and scalability. Get those right, and a semantic…

Posted By: Dave Mariani

April 9, 2025 / 3 MIN READ

Modernizing OLAP for the Cloud: Why Legacy BI Needs a Semantic Upgrade

Organizations 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…

Posted By: Dave Mariani

April 7, 2025 / 4 MIN READ

Snowflake Cost Management & Control: Best Practices for Enterprise BI Workloads

As 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…

Posted By: Macaulay Parker

April 3, 2025 / 5 MIN READ

How a Typical Power BI Customer Can Save Millions in Annual Costs

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…

Posted By: Stephen Berg

March 31, 2025 / 3 MIN READ

Building Trust in NLQ: How to Improve Cortex Analyst Results in Snowflake

Natural 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…

Posted By: Macaulay Parker

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Top 5 Reasons to Attend the 2025 Semantic Layer Summit: AI, GenAI, NLQ & More

How to Get Executive Buy-In for a Semantic Layer: Turning Technical Wins Into Business Value

How Vodafone Portugal Transformed Telecom Analytics with AtScale’s Semantic Layer + Celfocus

Evaluating a Semantic Layer: How Technical Teams Drive ROI Through Smart Data Infrastructure

Connect Excel to Snowflake Without ODBC: Smarter Alternatives for Business Users

Top 5 Considerations When Choosing a Semantic Layer for Modern Data Stacks

Modernizing OLAP for the Cloud: Why Legacy BI Needs a Semantic Upgrade

Snowflake Cost Management & Control: Best Practices for Enterprise BI Workloads

How a Typical Power BI Customer Can Save Millions in Annual Costs

Building Trust in NLQ: How to Improve Cortex Analyst Results in Snowflake