This article is part of a series on Polaris best practices. Click here for more Community content or visit Anapedia for detailed technical guidance.
Polaris is Anaplan's next-generation calculation engine, designed for highly dimensioned calculation at scale. It represents a paradigm shift in the ability to model business planning challenges without compromise. This article serves as a companion to Unlocking the power of Polaris: A guide to efficient model building, bringing together some of the already published best practices into a presentation style PDF, while also diving deeper into some advanced concepts.
Key topics covered:
- Iterative Development: separating syntax validation from performance validation. Following this development approach in Anaplan can help you build models that are both correct and performant while also maintaining model builder productivity.
- Blueprint Insights: insights are better together! In our first Model Building Guide we outline each blueprint insight and the information they present. Here we dive deeper and guide you through how they can and should be used together to inform your build and optimizations.
- Calculation Effort: highlights our previously published article outlining how Calculation Effort works in detail, and how to use it effectively.
- Calculation Complexity: a more detailed look and a video walking through the meaning of the complexity factor.
- Guards & Inline Conditions: two techniques model builders can use to optimize formulas to take advantage of the way Polaris views (and ignores!) default values.
- Inserting Dimension Members: recommended guidance on the insertion of list members by end users…their experience is the same, but this change to the back-end build will maximize performance in day-to-day business operations.
Presentation
Videos
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Authors: Anaplan’s Theresa Reid (@TheresaR), Architecture and Performance Director, and Abby Schutt-Beckman (@AbbySB), Technical Training Program Lead.
