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

ISBN-10: 0133064603

ISBN-13: 9780133064605

Edition: 2014

Authors: James C. Sesil

List price: $59.99
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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, 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.
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Book details

List price: $59.99
Copyright year: 2014
Publisher: FT Press
Publication date: 9/23/2013
Binding: Hardcover
Pages: 224
Size: 6.50" wide x 9.75" long x 0.50" tall
Weight: 1.056
Language: English

Challenges and Opportunities with Optimal Decision Making and How Advanced Analytics Can Help
How We Make Decisions and What Gets in the Way
Intuition Versus Analytical Thinking
Poor Intuitive Statisticians
Understanding Human Nature
Biases and Decisions
Big Data and Information Overload
The Problem with Certitude
Advanced Analytics Does Not Care Who It Annoys
Types of Decision Making
Rise of the Machines: Advanced Analytics and Decision Making
Advanced Analytics
Predicting Outcomes
Improper Linear Models: Combining Expert Intuition with Analytics
Artificial Intelligence and Machine Learning
Human and Machine: The Ideal Decision-Making Team
A Word About AI Tools
Collaboration, Cooperation, and Reciprocity
Human Nature and Human Science
Reciprocity and Fairness
Selfish, Greedy, Lazy, and Dishonest
Human Nature 2.0
Fierce Cooperation
Hard Wired to Share What We Know
Collective Intelligence
Asymmetric or Private Information
Game Theory 101
The Power of Collaboration: The Scandinavian Model
What Kinds of Organizations Could Benefit from a High Degree of Collaboration?
The Benefits of Collaboration
The Bottom-Line Impact of Participative Decision Making
Organizational Culture
Optimal Incentive Contract for Collaboration: Sharing Control and Return Rights
Models of Collaboration
The SAS Institute
Boston Scientific
Advanced Analytics and Collaborative Decision Making
Challenges and Opportunities with Participative Decision Making
Software, Advanced Analytics, and Cooperation and Collaboration
Deep Q&A Expert Systems
Value Creation and Advanced Analytics
The Wealth of Organizations and What Advanced Analytics Can Do
Information Capital
Constant and Unrelenting Experimentation
Gold in Them There Databases: Human Capital Data
Not Only Human Experts Are Prone to Biases
Value and How to Create It: Intangible Capital
Who Really Holds the Keys to the Kingdom
The Nature of the Organization
The Cost of Employee Turnover
Strategic Choice and Advanced Analytics
HCM Practice Choice and Advanced Analytics
Business Intelligence Alignment of HCM Practices and Policies with Business Strategy
Decision Science, Business Intelligence, and Implications for HCM Decisions
Machine Learning and HR Practice Choice
Software Applications, Analytics, and HR Decisions
Software Options and Optimal HCM Practice
Enterprise Resource Planning Software
Talent Analytics
SAS Business Intelligence
Talent Scorecard
Talent Management Suites and Advanced Analytics
Human Science and Selection Decisions
Optimizing Selection and Promotion Decisions
Performance and Selection
Making the Unobservable Observable
Eliminating Biases from Selection Decisions
Human Science and Employee Selection
Skills Shortages
Workforce Planning, Talent Acquisition, and Decision Analytics
Workforce Planning and Predictive Analytics
When Is Workforce Planning Necessary?
Challenges with Forecasting
External Big Data and Employee Recruitment and Selection
Human Science and Selection and Promotions Decisions
What We Have to Learn from the Use of Advanced Analytics for Player Selection in Professional Sports
Biases and the Selection Decision
Selection Tools: Augmented Biographical Survey
Challenges with the Use of Bio Data
Applications of Human Science to Selection Decisions
The Application of Expert Intuition to Selection and Promotion Decisions
Applied Game Theory and Selection Decisions
Deep Q&A Expert Systems and Selection Decisions
Predictive Modeling and Selections Decisions
Applied Econometric and Machine Learning Techniques
Human Science and Incentives
Human Science and Incentives
Incentives, Motivation, and Human Science
Incentive Contracts
Collaboration and Tournament Compensation Do Not Go Together
We Get What We Pay For
Human Science and Motivation
Performance Management
Biases Impacting Performance Management and Compensation Decisions
Strategy Maps and Performance Management
Applying Human Science to Incentive Contracts
Irrational, Cooperative, and Looking for Meaning
Complexity Theory and Incentive Contracts
The Application of Expert Intuition to Incentive and Motivation Issues
Applied Game Theory and Incentive Contracts
Deep Q & A Expert Systems and Incentive Contract Decisions
Predictive Modeling and Incentive Contracts
Applied Econometric and Machine Learning Techniques
Application of Human Science to Specific Incentive Issues
Executive Compensation
Other Possible Human Science Incentive Applications
Garbage In
Our Argumentative Natures
Advanced Analytics and Diagnosis of HCM Issues
The Science (and Art) of Prediction
The Challenges with Being Empirically Declarative
Decision-Making Authority and Cooperation
Sharing Control and Return Rights
Definitions (Appendix)
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