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Polaris is Anaplan's next-generation calculation engine, purpose-built to handle complex, large-scale, and granular business planning. For organizations already on the Anaplan platform, transitioning to Polaris is seamless and represents an opportunity to take planning capabilities to the next level. Polaris enables teams to plan at scale across departments, locations, or categories without performance slowdowns while focusing only on data that matters by skipping empty or zero-value data.
The platform allows organizations to scale confidently as they grow or shift, providing flexibility and precision to ask sharper questions, explore more dimensions of data, and build scalable solutions faster. Keyrus has supported Polaris model builds across industries and use cases, from commercial planning at a global entertainment company to financial forecasting for a leading Latin American e-commerce platform, and operational modeling at a top-tier consumer electronics brand. This extensive experience across 550+ projects, 200+ clients, and 18 countries with 175+ consultants has shaped the comprehensive masterclass approach.
Many organizations already possess strong building capabilities in-house but face specific obstacles when adopting Polaris. Teams typically have limited experience with Polaris-specific architecture and design, creating knowledge gaps that can impact successful implementation. Organizations recognize the need for expert support during migration and testing phases to ensure smooth transitions and optimal performance.
A critical concern for many companies is finding a low-risk path to Polaris adoption without requiring a full rebuild or engaging large external teams. These challenges can slow down adoption rates and prevent organizations from realizing the full benefits of Polaris's advanced capabilities. Without proper guidance and support, teams may struggle with understanding when to use Classic versus Polaris engines, designing for sparsity, and effectively planning migration strategies.
Keyrus has created a modular, practical approach to help organizations accelerate Polaris adoption while building internal capability. The solution includes three core components: a Polaris Masterclass, Model Assessment, and Expert Access Polaris Co-Pilot support. The masterclass delivers remote or onsite sessions covering Classic vs. Polaris engine selection, designing for sparsity to structure models for scale and performance, and migrating from Classic Engine to Polaris Engine with proper scoping and planning.
The Model Assessment component involves co-analyzing current models and supporting migration strategy development to Polaris. The Expert Access Polaris Co-Pilot provides 80 hours per month of Polaris experts in Americas and Europe to advise and support teams during migration. This dual location access ensures global coverage, multiple perspectives, and redundancy during vacation or sick leave. The approach is designed for teams with Anaplan experience and focuses exclusively on the Polaris Engine, delivered by experts with global implementation experience.
The Keyrus Polaris Masterclass delivers substantial value through expert knowledge transfer and practical implementation support. Organizations gain access to curated and synthesized expertise built on hands-on implementation experience across diverse industries and use cases. The training reflects both theoretical knowledge of Polaris and practical realities of designing, deploying, and scaling with the platform.
Teams receive comprehensive understanding of architecture and testing considerations, trade-offs and building considerations, all supported with practical examples. The dual-location expert access ensures continuous support availability and multiple perspectives during critical migration phases. Organizations can confidently navigate growth, complexity, or deeper use cases with Polaris, gaining the flexibility and precision needed for advanced planning scenarios. The modular approach allows companies to build internal capabilities while minimizing implementation risks and external dependencies.



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