Description
Pearson Education Applying Advanced Analytics To Hr Management Decisions: Methods For Selection, Developing Incentives, And Improving Collaboration by James C Sesil
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 ion, 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.
Salient Features
Leverage advanced analytics, and Big Data to make more objective, insightful, and actionable HR decisions
Apply advanced analytics to selection and recruitment decisions, performance management plan design, knowledge management initiatives, and enterprise resource planning systems
Develop an analytical culture that consistently relies on facts, not uninformed intuition
Table of Content
Preface
Introduction
Chapter 1: Challenges and Opportunities with Optimal Decision Making and How Advanced Analytics Can Help
Chapter 2: Collaboration, Cooperation, and Reciprocity
Chapter 3: Value Creation and Advanced Analytics
Chapter 4: Human Science and Selection Decisions
Chapter 5: Human Science and Incentives
Conclusion
Definitions (Appendix)
Endnotes
Index