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NetSuite and PIMCORE modernization plus a governed data fabric gave leadership real-time analytics, delivered through the Silver Catalyst methodology.
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11M
users on a modernized platform
11M
users on a modernized platform
A national leader in online training and certification with over 11 million users faced mounting pressure from outdated applications, fragmented data environments, and rigid business processes. As the company expanded, the lack of real-time access to reliable data hindered operational agility, complicated fulfillment workflows, and limited visibility into product performance. To scale effectively and meet rising customer expectations, the company needed a unified digital architecture and modernized application ecosystem.
With Silver Tree's help, the company was able to expand its offerings, optimize performance, and prepare for future AI-driven innovation.
Silver Tree was chosen for its deep expertise in modernizing midmarket businesses and its structured, business-led Silver Catalyst approach. The client valued Silver Tree’s ability to align technology strategy with business priorities, offer practical roadmaps for transformation, and bring the right mix of technical depth and strategic insight needed to enable long-term scalability, operational agility, and data-driven decision-making.
Silver Tree led a comprehensive application and data modernization initiative. The engagement began with an in-depth assessment of the client’s application environment, spanning finance, eCommerce, contract management, fulfillment, and inventory, and its broader data architecture.
Key deliverables included:
The team also identified and executed key technology upgrades, including the successful implementation of NetSuite to modernize financial operations, along with the deployment of PIMCORE to support centralized product lifecycle management (PLM) across a complex portfolio of offerings.
Silver Tree's methodology helped transform our data and application platforms into strategic assets, unlocking better decision-making, improving internal workflows, and paving the way for predictive analytics and future AI-driven solutions.



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