APPLYING ADVANCED ANALYTICS TO HR MANAGEMENT DECISIONS: METHODS FOR SELECTION, DEVELOPING INCENTIVES AND IMPROVING COLLABORATION BY PEARSON Paperback – 29 September 2017

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 Money ball Improve decision-making through Collective Intelligence Use internal and external data sources more effectively Understand new tools from Orca Eyes, Vemo, Aruspex, People fluent, Infor/Lawson, Decision Lens, 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. 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 Contents 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

Categories: Action & Adventure