This document discusses trends in workforce management. It begins by defining workforce management and its role within human capital management. It then discusses who utilizes workforce management systems and common applications like scheduling, attendance tracking, and analytics. The document outlines trends among workforce management vendors and applications, including a move toward mobility, optimization, and analytics. It concludes by discussing the future of workforce management, including increased use of mobile technologies, optimization algorithms, business intelligence, and data gathering through artificial intelligence.
2. What is Workforce Management 2 Part of the Greater Human Capital Management (HCM) Model Human Resources – Hiring/firing, skills management, compliance to regulations and standards Workforce Management – Regular vs. overtime hours, vacation and sick time, scheduling, costing or billing Payroll – EI/CPP/etc. deductions, salary
3. Workforce Management (WFM) encompasses all the activities, processes, and tools needed to manage a workforce. A comprehensive WFM system includes planning, forecasting, scheduling, and tracking workers to optimize the balance of customer, employee, labour laws and organizational needs. 3 WFM Defined
4. 4 Who Utilizes WFM? Buyers – originally HR, Payroll, IT Now Finance and Operations are adopting WFM for strategic, productivity applications Influencers – Finance (Controller) & Operations Management Users – originally hour shift workers, now being utilized by: “non-traditional”, contingent workforce (contract, agency, temporary) Salaried, “professional” workforce (billing, cross-charging, security) MSS and ESS Offside workers – virtual, mobile, 24x7 “connected” workforce Now moving towards the entire workforce
5. 5 Vendor Trends Expanding and Contracting Expanding application breadth through organic development and acquisition, with increasing vertical industry focus Consolidation will continue to occur in the vendor/provider market Kronos acquires healthcare WFM provider API Healthcare Corporation (2/07/11) RedPrairie acquires all-commerce solutions provider Escalate Retail (2/02/11)
6. 6 Vendor Trends ERP vs. Best-of-Breed ERP’s are catching up, but only for the more basic WFM applications Workforce Management vendors are likewise expanding the depth, breadth, and sophistication of their WFM application suite Platform and Data Collection Devises SaaS increasing in availability and use Projected 50% increase in subscriptions (CedarCrestone 2010-2011 Survey from IHR Trends in WFM Slides) Mobile apps becoming more sophisticated
7. 7 Application Trends Mobility Optimized Scheduling Absence Management Used for entire workforce – hourly AND salaried Attendance Accruals Scheduled and Unscheduled Incidental Absences Leaves of Absence (i.e., FMLA, WC, STD, etc.)
8. 8 Application Trends Workforce Analytics Operational Performance Analytics Performance, productivity, quality, overall equipment and labor effectiveness, cost/margin analysis, etc. Fitness for Duty (esp., transportation, services, healthcare) Physical (Fatigue Management, Drug Screening, etc.) Competency (Certifications and Licenses) Compliance
9. 9 Future of WFM Short Term Scheduling Optimization Recent discipline Moving from team based to individual based Optimization algorithms are very basic Human store managers are intuitive Business Intelligence Key Performance Indicators Benchmarking
19. 12 Future of WFM Long Term Building/Fitting Currently evolving from coding to configuring Think of it as “Code as Data” Code backdoors Change control is still essential Next evolution: system training Artificial intelligence
20. 13 Future of WFM Long Term Data Gathering Automation of data gathering – technically we are ready Economically justifiable Primary barrier to adoption is sociological Current technologies employ wireless sensor bands or video recognition with “wand” Future: no augmentation required Pattern Recognition Systems that watch and learn Any gatherable quantifiable metric Moving from systems that track to systems that predict