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$250M

ROI within 2 years

100

data dimensions tracked

The customer is a leading U.S.-based outdoor recreation technology manufacturer. Known for offering a diverse range of products and digital capabilities such as game cameras, protective cases, and outdoor equipment, the company aimed at transitioning from traditional manufacturing to connected, software-enabled products while modernizing its engineering capabilities.

Challenge

Facing shrinking margins and limited insight into the customer journey, the company recognized that its legacy information management approach could no longer support business growth. Teams met monthly to review performance, yet ongoing issues with data timeliness, completeness, and accuracy hindered decision-making. Leaders lacked confidence in the numbers, often questioning whether results reflected the actual customer experience.

Compounding the challenge, reporting was siloed across departments, preventing a holistic understanding of the customer lifecycle. There was no cohesive way to analyze the full Order‑to‑Cash process or identify friction points affecting revenue and satisfaction. The organization needed a comprehensive analytics foundation that would unify data and illuminate the end‑to‑end customer experience.

Solution

Orion designed and delivered a modern on‑premise data warehouse and analytics platform that integrated critical operational and customer data sources. The platform enabled the company to track more than 50 KPIs across 100 data dimensions, supporting robust revenue, profitability, and customer‑centric analysis.

Key components included:

  • Close collaboration with business stakeholders to define KPIs and ensure adoption
  • Development of a unified enterprise data model aligned to business operations
  • Integration of data sources across the full Order‑to‑Cash lifecycle
  • Advanced analytics to support corporate initiatives and performance management

Impact

  • Achieved more than $250M in ROI within the first two years
  • Gained complete visibility into the customer experience and lifecycle
  • Improved accuracy, timeliness, and trust in enterprise reporting
  • Enabled teams to consistently meet business‑case commitments
  • Established a scalable analytics foundation for ongoing transformation

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FAQs

Your questions,
answered.

Data platform modernization is the process of upgrading legacy data environments to improve data integration, governance, analytics, and decision-making. It replaces fragmented reporting systems with a unified platform that provides trusted, timely, and consistent data for business operations, customer insights, and enterprise-wide analytics. 

Telecom companies modernize their data platforms to gain a complete view of customer interactions, improve reporting accuracy, and support faster business decisions. As networks, services, and customer data grow more complex, integrated data platforms help reduce silos and provide better visibility across the customer lifecycle. 

A unified data platform combines data from multiple business and operational systems into a single source of truth. This enables organizations to analyze customer behavior across the entire journey, identify service issues, measure performance consistently, and make more informed decisions based on trusted data. 

High-quality data improves confidence in reporting and helps leaders make informed decisions faster. When data is accurate, complete, and timely, organizations can better measure business performance, identify operational issues, and reduce the risk of making decisions based on inconsistent information. 

Modern analytics platforms provide centralized reporting, KPI tracking, and advanced analytics using integrated enterprise data. They enable business teams to monitor operational performance, measure customer outcomes, identify trends, and respond more quickly to changing business conditions across multiple departments. 

Integrating data across the customer lifecycle provides a complete view of how customers interact with an organization from order through billing and service. This helps businesses identify bottlenecks, improve customer experience, strengthen revenue analysis, and support more effective operational planning. 

Organizations should consider modernization when reporting is spread across disconnected systems, data quality issues reduce trust, or business decisions are delayed by manual processes. Modernization is also valuable when leadership needs real-time visibility into operations and customer performance. 

Key Performance Indicators (KPIs) measure how well business processes are performing against defined objectives. Tracking KPIs through a centralized analytics platform helps organizations monitor trends, detect operational issues early, evaluate business outcomes consistently, and support continuous improvement initiatives. 

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