Applying Advanced Analytics to HR Management Decisions
Methods for Selection, Developing Incentives, and Improving Collaboration
- 156pagine
- 6 ore di lettura
Dramatically enhance human capital management decisions by leveraging advanced analytics and "Big Data" technologies! HR technology expert James Sesil identifies significant flaws in current HR decision-making processes and illustrates how advanced analytics can lead to better choices regarding employee selection, performance management, strategy alignment, and collaboration. This resource demonstrates how to integrate Business Intelligence, ERP, Strategy Maps, Talent Management Suites, and advanced analytics to improve decision-making. Readers will discover methods to measure and enhance the value of HCM decision-making across workforce planning, talent acquisition, career development, and corporate learning. Sesil draws lessons from diverse sources, including online dating and Moneyball-style sports selections, to show how to enhance decision-making through sophisticated collaboration and Collective Intelligence approaches. Additionally, he emphasizes the effective use of internal and external data sources and reviews various advanced tools available from vendors like OrcaEyes, Vemo, and IBM. The book concludes with strategies for building "data-driven" cultures that prioritize objectivity in decision-making and effectively utilize these innovative tools. It serves as an essential resource for HR executives, managers, analysts, and IT professionals seeking competitive advantages through human capital and technological innova
