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Applying Advanced Analytics to HR Management Decisions

Methods for Selection, Developing Incentives, and Improving Collaboration

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  • 156 stránok
  • 6 hodin čítania

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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

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Applying Advanced Analytics to HR Management Decisions, James Sesil

Jazyk
Rok vydania
2012
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Titul
Applying Advanced Analytics to HR Management Decisions
Podtitul
Methods for Selection, Developing Incentives, and Improving Collaboration
Jazyk
anglicky
Vydavateľ
Ft Pr
Rok vydania
2012
Väzba
pevná
Počet strán
156
ISBN10
0133064603
ISBN13
9780133064605
Série
Anotácia
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