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* What is your primary area of focus at the University? |
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* If you work in HR please describe your primary HR area of focus: |
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* As you look to analyze and summarize HR data please describe the capabilities that you currently use. Check all that apply: |
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Standard reports from HRIS systems (Discoverer Reports, PeopleSoft, UltiPro etc.)
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Queries (ad hoc, customized) from HRIS systems (Oracle EBS, UltiPro, peopleSoft etc.)
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HR Benchmarks or other metrics for comparison (AAU benchmarks, External survey, internal surveys, Mercer)
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HR data models (Spreadsheets, Databases, other tools)
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Data analytics tools (Tableau, Qlik, etc.)
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Trend analysis (performance over time)
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Projections (future state modeling, what-if scenarios)
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HR statistical analysis (correlation across data sets, causal analysis, controlled evaluation)
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Other please describe below:
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* What HR data is most important to you in your role? Rank your top 5 |
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Succession Planning (Future talent pipeline, leadership development, talent gaps)
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Employee Engagement (Job Satisfaction, productivity)
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Culture (Multi-generational workforce, engaging millennials)
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Diversity & Inclusion (Pay Parity, Leadership Diversity)
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Innovation (Deployment of leading practices, new ideas)
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Workforce Utilization (effective deployment of people, deviations between budgeted talent expense/effort versus actual)
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Workforce Planning (Employee attraction, retention)
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Rewards & Recognition (Total rewards competitiveness, compensation competitiveness)
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Recruiting/Onboarding (Recruiting volume, evaluation of recruiting sources, 1 year retention)
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Performance Management (Performance Evaluation Bias, comparability of performance across organizations)
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Payroll performance (Pay accuracy, cost per pay check)
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HR Compliance/Risk mitigation (Policy deviations/exceptions, regulatory penalties, ACA compliance)
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Employee Development/Training (Compliance tracking, alignment of training to knowledge gaps)
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Communication Effectiveness (Communication frequency, feedback, social media activity)
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Employee Relations (grievances, disciplinary actions)
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HR Financial Data (Salary, Labor, costs, benefits costs, technology cost)
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Workforce composition ( Headcount, Turnover, attrition/retention, employee movement, demographics, aging workforce)
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HR Operational Data (volume of transactions, efficiency, effectiveness, errors/quality)
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| * For your responses above, please explain your choices, particularly what issues you are currently facing in each area | | |
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| * What prevents you from getting the data you need in a timely manner? Please List your top 3 challenges | | |
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| * What are the 3 most important issues you/your organization are likely to face in the near-future? | | |
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* What data tools would you like to use to better access and analyze HR data? |
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Standard reports from HRIS systems (Discoverer Reports, PeopleSoft, UltiPro etc.)
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Queries (ad hoc, customized) from HRIS systems (Oracle EBS, UltiPro, PeopleSoft etc.)
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HR Benchmarks or other metrics for comparison (AAU benchmarks, External survey, internal surveys, Mercer)
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HR data models (Spreadsheets, Databases, other tools)
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Data analytics tools (Tableau, Qlik, etc.)
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Trend analysis (performance over time)
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Projections (future state modeling, what-if scenarios)
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HR statistical analysis (correlation across data sets, causal analysis, controlled evaluation)
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| What HR data capabilities should the HR function invest in that will have the greatest impact on enabling the University’s mission? | | |
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| Tell us anything else you think would be useful as we continue our work | | |
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