James Sesil, James C. Sesil

Applying Advanced Analytics to HR Management Decisions: Methods for Selection, Developing Incentives, and Improving Collaboration

Auflage 1

The full text downloaded to your computer

With eBooks you can:

  • search for key concepts, words and phrases
  • make highlights and notes as you study
  • share your notes with friends

eBooks are downloaded to your computer and accessible either offline through the Bookshelf (available as a free download), available online and also via the iPad and Android apps.

Upon purchase, you will receive via email the code and instructions on how to access this product.

Time limit

The eBooks products do not have an expiry date. You will continue to access your digital ebook products whilst you have your Bookshelf installed.

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 organisations 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 organisations that truly want to bring objectivity to decision-making, and will actually use these remarkable new tools.

Produktdetails

Verlagsnummer: 9780133064643
ISBN: 978-0-13-306464-3
Produkttyp: eBook (Kortext ePub)
Verlag: Pearson FT Press
Erscheinungsdatum: 28.10.2013
Dateigröße in MB: 0.92
Auflage: 1
Sprache: Englisch

Artikelbeschreibung

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, collaboration, and more. In this book he shows how to integrate Business Intelligence, ERP, Strategy Maps, Talent Management Suites, and advanced analytics -- and use them together to make far better decisions. You'll learn how to measure and improve the value of HCM decision-making in workforce/succession planning, talent acquisition, career development, corporate learning, and beyond. Sesil teaches key lessons from sources ranging from online dating services to Moneyball-style sports player selection processes. He shows how to systematically improve decision-making through more complete and sophisticated collaboration and new Collective Intelligence approaches. You'll learn how to use both internal and external data sources more effectively, and review a wide variety of advanced tools now available from vendors such as OrcaEyes, Vemo, Aruspex, Peoplefluent, Infor/Lawson, DecisionLens, Oracle, Ultimate, Cogniti, IBM, SAP, and Microsoft. 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. This book will be an invaluable resource for every HR executive, manager, analyst, and IT professional seeking new opportunities for competitive advantage through human capital and technological innovation.