Showing resources in...BUSINESS NEED Workforce Management BUSINESS SIZE Medium to Large Enterprises SERVICES Workforce Dimensions Services Clear All Filters
Workforce Dimensions Events and Documentation Sheet
Be informed about major releases, minor releases, service updates, express updates, HCM events and all the corresponding supporting documentation.
Workforce Dimensions Non-production Environments
Non-production tenants provide the ability to create Development, Quality Assurance (QA), User Acceptance Testing (UAT), Staging, or Training environments.
Business Data Automation Datasheet
Eliminate costly, time-consuming manual entry of business data with seamless integration between mission-critical platforms and Workforce Dimensions.
How Can You Help Your Store Manager Help You? eBook
Learning the day-to-day realities of your store managers can help you make them more productive. Learn 5 steps to help them succeed.
Making the 5HIFT
Learn how Kronos transitioned from a leading on-premise workforce management software company to a customer-first cloud solution provider.
Workforce Dimensions Trust Site Datasheet
Your Workforce Dimensions Trust Site is a personalized page that provides visibility into the uptime and availability of your solution.
Using Metrics to Measure Labor Productivity
Turn labor and sales data into meaningful business intelligence to make data-driven decisions that optimize workforce utilization, control labor costs, and drive continuous improvement.
Using Workforce Management to Drive Employee Engagement
Workforce management has a big impact on the retail employee experience. Learn how workforce technology can help keep associates and managers engaged.
Advance to the Future of Work
Using outdated technology creates issues. Learn 4 tips for building a business case to move to Workforce Dimensions™ to engage in the future of work.
Workforce Management in Multiservice Organizations
Siloed operations hinder service and facilities management companies in standardizing workforce management. Focusing on similarities is more effective.