Certified Angus Beef

How Certified Angus Beef Modernized Analytics from Platform to Team in Months, Not Years

Consolidated dozens of legacy paginated reports into flexible, dynamic reporting tools

Expanded reporting access beyond internal-network and desktop-only limitations

Reduced analytics modernization timeline from years to months

Industry
Food/Agriculture
Company Size
Mid-market to Enterprise
Country
U.S.A
Year
2026

The Certified Angus Beef ® brand is a leading North American premium beef brand, founded in 1978 with a commitment to delivering consistent, high-quality beef through a strict set of product standards.

Built on its rigorous criteria and a network of independent ranchers, the organization partners across the supply chain to deliver superior beef to restaurants and grocery stores across the U.S. and 55 other countries.This case study focuses on Certified Angus Beef’s initiative to modernize its analytics platform while advancing the capabilities of its internal data team.

Situation

Certified Angus Beef had a strong data foundation and capable team, but its reporting environment, built on paginated SSRS reports, was only accessible on-network from a computer.

As data volumes grew, the limitations became clear: reports were inflexible, hard to navigate, and users often needed multiple reports to pull together insights. The opportunity was to move beyond refreshing legacy reports toward a modern analytics platform with interactive dashboards, flexible navigation, mobile access, and broader availability. Equally important, Certified Angus Beef wanted to own and maintain the platform internally, not just modernize, but 
build lasting in-house capability through education and ongoing support.

Impact

Without modernization, Certified Angus Beef would have remained constrained by a reporting environment that was valuable but increasingly difficult to scale, falling short of modern expectations for speed, access, and usability, and limiting the organization's ability to grow with its data.

Whether refreshing the legacy reporting environment or moving to a modern analytics platform, the effort would have been significant. However, the added capabilities of a modern platform made that investment far more valuable. By partnering with Kery Solutions, they made the leap: moving from a legacy reporting environment to a modern, centralized architecture capable of querying hundreds of millions of rows in seconds, unlocking faster and more flexible data access across the entire organization, and positioning the team to own and build on that foundation long term.

"Kery Solutions went beyond project implementation. They truly mentored our team. 
The combination of education and platform modernization was exactly what we wanted. 
Our analytic capabilities have never been better. And our relationship with Kery Solutions continues as we look to leverage emerging analytictechnology."
Andrei Turchyn
Director, Data Operations
Resolution

Kery Solutions partnered with Certified Angus Beef to modernize both the reporting environment and underlying data architecture, while building the internal team's capabilities throughout.

Dozens of rigid legacy reports were redesigned into streamlined, multi-functional tools using parameterization, slicers, and scalable design patterns, making insights easier to find without running multiple reports. For the data architecture, Kery Solutions implemented Microsoft Fabric with a medallion architecture and Direct Lake, centralizing reporting on a unified data layer where tables exceeding hundreds of millions of rows can now be queried in seconds.Equally important was the hands-on education delivered throughout the engagement, covering ETL design, DAX, report development, dashboard usability, and scalable development patterns. Today, Certified Angus Beef fully owns and operates its analytics platform, while continuing discussions with Kery Solutions around future opportunities such as AI-powered analytics, row-level security, and 
B2B analytics.This engagement reflects a broader truth: meaningful modernization isn't just about new tools, it's about transforming how data is structured, accessed, and used, while giving internal teams the confidence to sustain that progress long term.

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