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Movement Data

Movement Data. Presentation to the HR Advisors and Direct Service Representatives. September 18, 2014. Agenda. Introduction Context: How’d we get here? Our Deployment Process Introducing “Movement” Data Demo and Use Case Scenario Next Steps. Context/Background: How’d we get here?.

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Movement Data

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  1. Movement Data Presentation to the HR Advisors and Direct Service Representatives September 18, 2014

  2. Agenda • Introduction • Context: How’d we get here? • Our Deployment Process • Introducing “Movement” Data • Demo and Use Case Scenario • Next Steps

  3. Context/Background: How’d we get here? • Origins - Workforce Planning • Converging Needs: • Executive Needs • Workforce Planning • Finance Budget Integration • Goals: • Support Executives in their bid to oversee staff growth and trends and to control hiring • Help HR Advisors, Direct Services staff and others in the management, planning and understanding shifts in their workforce • Aid financial officers in payroll variance analysis • A common data set for HR Advisors and Financial Officers to discuss, compare and identify trends

  4. OUR DEPLOYMENT PROCESS Roll-Out Define Need Build Specs Finalize Specifications Engage With ISR Focus Group 2 Incorporate Feedback Build Test Environment Focus Group 1

  5. Introducing “Movement” Data • One data set (staff counts and salary mass) - 3 audiences • Listing of administrative staff • M, C, T, LA, Trades and services • Regular and Contracts • Compares data at two different points in time • easy to see what’s changed and impact on salary mass • Identifies internal and external movement: • Internal: McGill staff moving inside McGill e.g. developmental assignment, promotion, lateral move • External: Staff entering or exiting McGill e.g. new hires • Describes the movement: Hire, Termination, Dept. Change, Job Change, Status Change… • Lists salary, fund type and org. hierarchies, etc… etc…

  6. Demo • Getting to the report • Security Required • Demo – Staff Movement Report • Exporting the data into Excel

  7. Getting to the Report

  8. YYYYMMDD

  9. Banner Username

  10. Export Data to Excel Change to YES

  11. Export Data to Excel 1 2. Excel – “Data Only” 3

  12. Next Steps • You will be notified when the report is live • Try it out! • Drop-in sessions planned so you can learn to work more effectively with the data (early-mid October) • Feel free to call us should you have any questions! • lorenzo.luciano@mcgill.caext: 4643 • suzana.rodriguez@mcgill.caext: 4617 • paolo.errore@mcgill.caext: 6659 • joan.soares@mcgill.caext: 4614

  13. Questions? ?

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