The Talent Equation Big Data Lessons For Navigating The Skills Gap And Building A Competitive Workforce

Is your HR department prepared to flip the big data switch? At every stage of the employee life cycle, a data-driven approach to HR can help companies make smarter decisions about their most important asset: their people. This title shows you how to navigate hiring climate and drive your business forward.

"Companies that can unleash the passions and gifts of their people will have a competitive advantage in the landscape of the future--becoming curators instead of keepers of talent. This book gives readers some of the keys to cracking that code." --CARLEEN HAAS, VICE PRESIDENT AND CHIEF TALENT OFFICER, HUMANA IS YOUR HR DEPARTMENT PREPARED TO FLIP THE BIG DATA SWITCH? At every stage of the employee life cycle, a data-driven approach to HR can help companies make smarter decisions about their most important asset: their people. In the wake of the greatest shock to the labor market since the Great Depression, companies are faced with looming skill shortages, retention concerns, and questions regarding the most effective composition of their workforce. The Talent Equation shows you how to navigate today's hiring climate and drive your business forward. Matt Ferguson, CEO of CareerBuilder, offers hiring professionals and business leaders a roadmap to attract and retain top talent. Ferguson and coauthors Lorin Hitt (Wharton School) and Prasanna Tambe (NYU's Stern School) commissioned a landmark big data study of more than 2,700 employers and 33 million resumes to find the relationship between market performance, education attainment, and employee tenure. The findings are enlightening--and quite surprising. The Talent Equation explores: The ROI of increased education levels and retention rates The benefits of continuous recruitment and talent pipelines technology market, and how workforce analytics tools are changing talent acquisition The importance of reducing longterm unemployment through training and reskilling Smart and timely, The Talent Equation also incorporates case studies from leading brands--both global and domestic--that further illustrate staffing issues facing executives today. The insights and research in the book are invaluable tools for anyone who wants to build and retain a dynamic, competitive, and productive workforce.

The Top 1% - Best Practices of Real Estate Rainmakers When it comes to hiring, moving risk as far away from you as possible is always best. By implementing a time-tested, scientifically proven hiring system, you eliminate the costly, frustrating guesswork out of hiring and replace it with certainty. This book shows you how to access up to 88 percent of the "must know" intangibles that are hidden to the naked eye when you interview. This advanced insight is an absolute game changer and enables you to consistently hire the best people with supreme confidence. After all, knowing is always better than guessing! You Will Also Learn... - Why 20 percent of the sales force at almost every company consistently sells 80% of total sales - How to consistently hire the top 20 percent of salespeople using a time-tested, proven science - How to extract the highest performance from your existing employees - The training that will have the largest individual and corporate impact - Why using one-dimensional personality profiles are woefully inadequate at predicting performance - How the hardwiring of the brain dictates your strengths - measure this hardwiring using science - How to identify what motivates & drives employees and potential new hires - How to ensure employee engagement and peak performance

An urgent reality check for America’s blinkered fixation on STEM education. We live in an era of STEM obsession. Not only do tech companies dominate American enterprise and economic growth while complaining of STEM shortages, but we also need scientific solutions to impending crises. As a society, we have poured enormous resources—including billions of dollars—into cultivating young minds for well-paid STEM careers. Yet despite it all, we are facing a worker exodus, with as many as 70% of STEM graduates opting out of STEM work. Sociologist John D. Skrentny investigates why, and the answer, he shows, is simple: the failure of STEM jobs. Wasted Education reveals how STEM work drives away bright graduates as a result of “burn and churn” management practices, lack of job security, constant training for a neverending stream of new—and often socially harmful—technologies, and the exclusion of women, people of color, and older workers. Wasted Education shows that if we have any hope of improving the return on our STEM education investments, we have to change the way we’re treating the workers on whom our future depends.

This book offers keen insight and useful lessons underscoring the value of practice to theory. Conceived by two anthropologists who lead consulting practices, McCabe and Briody selected contributors to explore how cultural change happens in a variety of consumer and organizational contexts. The 12 case studies illustrate the explanatory potential and the problem-solving strengths of assemblage theory, and the role of human agency in provoking cultural change. The case studies are compelling due to connections between the case narratives and graphics, and researcher engagement in the pragmatics of implementation—both of which shape and encourage learning. This volume will be markedly useful to practitioners engaged in research and implementation. It will also appeal to students and faculty in a variety of fields including anthropology, business management, marketing, sociology, cultural studies, and industrial design.

Apply predictive analytics throughout all stages of workforce management People Analytics in the Era of Big Data provides a blueprint for leveraging your talent pool through the use of data analytics. Written by the Global Vice President of Business Intelligence and Predictive Analytics at Monster Worldwide, this book is packed full of actionable insights to help you source, recruit, acquire, engage, retain, promote, and manage the exceptional talent your organization needs. With a unique approach that applies analytics to every stage of the hiring process and the entire workforce planning and management cycle, this informative guide provides the key perspective that brings analytics into HR in a truly useful way. You're already inundated with disparate employee data, so why not mine that data for insights that add value to your organization and strengthen your workforce? This book presents a practical framework for real-world talent analytics, backed by groundbreaking examples of workforce analytics in action across the U.S., Canada, Europe, Asia, and Australia. Leverage predictive analytics throughout the hiring process Utilize analytics techniques for more effective workforce management Learn how people analytics benefits organizations of all sizes in various industries Integrate analytics into HR practices seamlessly and thoroughly Corporate executives need fact-based insights into what will happen with their talent. Who should you hire? Who should you promote? Who are the top or bottom performers, and why? Who is at risk to quit, and why? Analytics can provide these answers, and give you insights based on quantifiable data instead of gut feeling and subjective assessment. People Analytics in the Era of Big Data is the essential guide to optimizing your workforce with the tools already at your disposal.

This book is an information packed overview of how to structure a data science career, a data science degree program, and how to hire a data science team, including resources and insights from the authors experience with national and international large-scale data projects as well as industry, academic and government partnerships, education, and workforce. Outlined here are tips and insights into navigating the data ecosystem as it currently stands, including career skills, current training programs, as well as practical hiring help and resources. Also, threaded through the book is the outline of a data ecosystem, as it could ultimately emerge, and how career seekers, training programs, and hiring managers can steer their careers, degree programs, and organizations to align with the broader future of data science. Instead of riding the current wave, the author ultimately seeks to help professionals, programs, and organizations alike prepare a sustainable plan for growth in this ever-changing world of data. The book is divided into three sections, the first “Building Data Careers”, is from the perspective of a potential career seeker interested in a career in data, the second “Building Data Programs” is from the perspective of a newly forming data science degree or training program, and the third “Building Data Talent and Workforce” is from the perspective of a Data and Analytics Hiring Manager. Each is a detailed introduction to the topic with practical steps and professional recommendations. The reason for presenting the book from different points of view is that, in the fast-paced data landscape, it is helpful to each group to more thoroughly understand the desires and challenges of the other. It will, for example, help the career seekers to understand best practices for hiring managers to better position themselves for jobs. It will be invaluable for data training programs to gain the perspective of career seekers, who they want to help and attract as students. Also, hiring managers will not only need data talent to hire, but workforce pipelines that can only come from partnerships with universities, data training programs, and educational experts. The interplay gives a broader perspective from which to build.

Learn what it takes to succeed in the the most in-demand tech job Harvard Business Review calls it the sexiest tech job of the 21st century. Data scientists are in demand, and this unique book shows you exactly what employers want and the skill set that separates the quality data scientist from other talented IT professionals. Data science involves extracting, creating, and processing data to turn it into business value. With over 15 years of big data, predictive modeling, and business analytics experience, author Vincent Granville is no stranger to data science. In this one-of-a-kind guide, he provides insight into the essential data science skills, such as statistics and visualization techniques, and covers everything from analytical recipes and data science tricks to common job interview questions, sample resumes, and source code. The applications are endless and varied: automatically detecting spam and plagiarism, optimizing bid prices in keyword advertising, identifying new molecules to fight cancer, assessing the risk of meteorite impact. Complete with case studies, this book is a must, whether you're looking to become a data scientist or to hire one. Explains the finer points of data science, the required skills, and how to acquire them, including analytical recipes, standard rules, source code, and a dictionary of terms Shows what companies are looking for and how the growing importance of big data has increased the demand for data scientists Features job interview questions, sample resumes, salary surveys, and examples of job ads Case studies explore how data science is used on Wall Street, in botnet detection, for online advertising, and in many other business-critical situations Developing Analytic Talent: Becoming a Data Scientist is essential reading for those aspiring to this hot career choice and for employers seeking the best candidates.