Dramatically improve human capital management decisions by applying advanced analytics and "Big Data" technologies and processes! Pioneering HR technology expert James Sesil identifies widespread flaws in today's HR decision-making processes, and reveals how advanced analytics can help organizations make far more robust decisions about employee selection, performance management, strategy alignment, and collaboration. This book demonstrates how to:
- Bring breakthrough Big Data resources, tools, and predictive models to the HR space
- Integrate BI, ERP, Strategy Maps, talent management suites, and advanced analytics -- and use them together to make far better decisions
- Quantify the value of decision-making improvements in workforce/succession planning, talent acquisition, career development, and corporate learning
- Learn key lessons from online dating services and Moneyball
- Improve decision-making through Collective Intelligence
- Use internal and external data sources more effectively
- Understand new tools from OrcaEyes, Vemo, Aruspex, Peoplefluent, Infor/Lawson, DecisionLens, Oracle, Ultimate, Cogniti, IBM, SAP, Microsoft, and more
Sesil concludes by demonstrating how to build "data driven" cultures and organizations that truly want to bring objectivity to decision-making, and will actually use these remarkable new tools.
Applying Advanced Analytics to HR Management Decisions: Methods for Selection, Developing Incentives, and Improving Collaboration (Paperback)