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A Leading National Fitness Education and Certification Organization

Unified Data Platform Powers Standalone Growth for Fitness Education Leader           

A leading national fitness education and certification organization needed to separate from its parent company's shared IT infrastructure and establish data as a standalone growth engine. Allata conducted an extensive data landscape assessment and strategy engagement and built a modern data platform on Snowflake with near-real-time ingestion, medallion architecture, and self-service operational dashboards. The phased approach delivered a platform with marketing analytics and reusable pipelines, enabling data-driven decisions and business outcomes.

OVERVIEW 

Our client, a leading national fitness education and certification organization, was preparing to operate as a standalone business with data at the center of its growth strategy. Allata partnered with them to execute and deploy a five-week data assessment, followed by an ongoing modern data platform build to replace fragmented data systems with unified analytics capabilities. 

The engagement progressed from landscape documentation through platform delivery, producing accepted business outcomes across sales and marketing analytics. The continued expansion of the engagement reflects the strategic value realized from each phase. 

THE CHALLENGE

Our client operated across a wide set of business applications using SaaS tools and custom-developed systems with data scattered across multiple repositories. The organization’s data lake consisted of several SQL servers, and no unified strategy governed how data moved between systems or how it was consumed for analytics. 

As our client prepared to separate from its shared IT infrastructure, the need for an independent, modern data capability became urgent. Key systems, such as Microsoft Dynamics, HubSpot, Magento, specialized retail software and Great Plains, each held critical business data, but integration was fragmented, and reporting was largely manual or custom-built. 

Without a cohesive data platform, our client lacked the analytics-ready datasets needed to drive decisions around lead generation, marketing attribution, and sales performance. The absence of DataOps practices, CI/CD pipelines, and a structured data architecture created operational friction and limited their ability to scale their use of data as an independent organization. 

OUR SOLUTION 

Allata began with a five-week data assessment and strategy engagement. The team conducted interviews with the company’s key stakeholders and subject matter experts across core source systems. This phase approach produced a documented data landscape covering data domains, system flows, and repository purposes, along with a prioritized roadmap of data initiatives, high-level platform architecture, master data management recommendations, and presentation layer guidance. This strategy gave our client a clear, cost-estimated path forward that aligned with its parent company’s data policies. 

With the data strategy validated, Allata  moved into a 16-week modern data platform build that was structured in two interdependent phases. The foundational build established secure authentication and access controls for platform tools, configured Confluent Kafka for Snowflake integration, and implemented CI/CD pipelines with DevOps workflows across development, UAT, and production environments. In parallel, Allata worked with our client’s business, operations teams, and product stakeholders to identify and prioritize high-impact use cases based on ROI, feasibility, and operational dependencies. Agile sprints delivered prioritized use cases and refined business objectives, measurable KPIs, and tailored platform extensions. 

  • Implemented Snowflake with medallion architecture and CDC capabilities, unifying master data definitions across business units and operational data stores 
  • Built scalable data pipelines for sales, marketing, and ad spending data, delivering analytics-ready datasets reusable across future use cases. 
  • Developed real-time sales tracking dashboards to help leaders understand if they were going to hit incremental goals and understand if the current customer base would the correct product mix and deliver the anticipated financial outcome. 
  • Delivered self-service marketing attribution dashboards across HubSpot, Dynamics 365, and multiple ad platforms, enabling teams to shift from custom reporting to real-time analytics. 

THE RESULT  

Allata’s phased approach transformed their data landscape from fragmented, siloed systems into a modern, scalable marketing and analytics platform that tracks attribution logic connected to lead generation, campaign spend, and conversion data across HubSpot, GA4, and multiple advertising platforms. 

technology

The platform was built on a modern, cloud-based data stack integrating tools across ingestion, storage, transformation, analytics, and operations—all explicitly selected during the strategy and build phases. 

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