![\"\"](\"https:\/\/quebit.com\/askquebit\/wp-content\/uploads\/2025\/07\/PandaDoc-Image-300x142.png\")
<\/p>\n<\/p>\n
Inside a Pigment Implementation: Metrics, Naming Standards, and Workforce Planning<\/strong><\/p>\n A recent walkthrough of a completed Pigment implementation provides key insights into how this modern planning tool compares to legacy systems like Planning Analytics, and how it supports scalable, structured financial planning\u2014particularly for workforce management.<\/p>\n Workforce Planning and Metric Structure<\/strong><\/p>\n In Pigment, workforce planning is broken into several distinct but related metrics:<\/p>\n This layered structure not only allows for flexibility in data visualization (e.g., showing intermediate calculations in tables), but also simplifies downstream use, such as tax calculations or cost modeling. While it’s technically possible to consolidate these calculations into fewer steps, maintaining modular metrics provides transparency and auditability.<\/p>\n Conditional Calculations and Formula Design<\/strong><\/p>\n Pigment supports complex formulas with conditionals, and these can be used within a single metric or across multiple data sets. For example, a single metric might apply logic that changes calculation methods based on business rules or time periods. This conditional structure makes Pigment a powerful tool for dynamic modeling scenarios.<\/p>\n Naming Conventions and Organizational Standards<\/strong><\/p>\n Naming consistency is vital when working with large models containing hundreds of metrics. To address this, a standard naming structure has been developed:<\/p>\n This makes it easier to understand data flow at a glance and supports maintainability across connected models.<\/p>\n Folder structure and capitalization standards are also employed to promote organization and usability. These were adapted from Pigment\u2019s prebuilt assets, which are often overly complex, and streamlined for more practical day-to-day use.<\/p>\n Navigation and Efficiency<\/strong><\/p>\n Pigment includes built-in tools to improve user navigation:<\/p>\n This Pigment implementation showcases how thoughtful structuring of metrics, use of conditional logic, and naming conventions can create a scalable, transparent, and user-friendly financial planning environment. These best practices not only make the platform easier to use but also prepare it for long-term sustainability as models grow in complexity.<\/strong><\/p>\n <\/p>\n","protected":false},"excerpt":{"rendered":" How Does Pigment Support Workforce Planning Through Structured Metrics and Naming Standards? Inside a Pigment Implementation: Metrics, Naming Standards, and Workforce Planning A recent walkthrough of a completed Pigment implementation provides key insights into how this modern planning tool compares to legacy systems like Planning Analytics, and how it supports scalable, structured financial planning\u2014particularly for…<\/p>\n","protected":false},"author":6,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[112,21],"tags":[109,113],"class_list":["post-4679","post","type-post","status-publish","format-standard","hentry","category-pigment","category-tutorial","tag-pigment","tag-tutorial"],"acf":[],"yoast_head":"\n\n
\n
\n
\n