Applying Advanced Analytics to HR Management Decisions - Sesil, James C.
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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…mehr

Produktbeschreibung
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.
  • Produktdetails
  • Verlag: Pearson Education (US
  • Erscheinungstermin: 28. Mai 2017
  • Englisch
  • Abmessung: 230mm x 154mm x 12mm
  • Gewicht: 100g
  • ISBN-13: 9780134770949
  • ISBN-10: 0134770943
  • Artikelnr.: 49054212