Developing Analytic Talent

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.

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.

As we dive deep into the humanistic paradigm – in society and in business, the models and narrative of business must change. The human-centric dynamic places people at the center of sustainable value creation. Therefore, leaders must shine the light on talent and people. The book Co-Creating Talent and Human-Centered Organizations: Organization Development (OD) Perspectives is an elaboration of the concepts to developing talent masters and build high-value organizations through cultivating enduring human capabilities and tapping into our collective capacities. Based on the OD field’s fundamental values, the focus is, therefore, on enhancing the capacity of leaders to build resilient organizations. The book is informed by the realization that most organizational routines and boundaries inhibit and deplete enduring human capabilities and tendencies. Recognizing that organizations are open organizational systems, the book creates space for readers, leaders, managers, and OD professionals to continually reframe their cognitive and emotional frameworks towards high-value organizational cultures that would help co-create sustainable futures. Leveraging on the informal interpretations, impressions, insights and interventions of Organization Development (OD) ‘tacit knowledge’ and ‘deep smarts’, this book focuses on concepts targeted at charting the talent journey, identify cultural gaps in the workforce, modernize the learning & development architecture, and enhancing intentional change effort and purposeful enactment across all organizational members. The book leverages on Organization Development (OD) science, theory, practices, and values; and the role of Appreciative Leadership in developing talent in contemporary organizations. Whole System Thinking and co-creation of possibilities are central principles in this book. The book is informed by the increasing need for organizations to holistically prioritize the talent agenda and continuously drive competitiveness and performance through workforce optimization approaches. This is necessitated by the emergence of multi-generational workforce, the pervasive impact of technology, increasing talent mobility, shifts towards increased reliance on virtual teams, and the effects of globalization on the talent landscape.

The advent of "Big Data" and the emergence of Data Science - and all its iterations like analytics and business intelligence - has altered the way companies and universities work together. Historically, universities and companies rarely intersected beyond the occasional career fair; today, there is an increasingly permeable membrane with more collaboration occurring between the academic sector and the private sector than at any other time in history - and its being driven by the analytics talent gap. Closing the Analytics Talent Gap: An Executive's Guide to Working with Universities provides guidance and insights for senior managers and their organizations on the most (and least) effective ways to engage universities to help mitigate and alleviate some of the pain points related to improving an organization's analytics maturity. Analytics program directors from Georgia Tech, Oklahoma State University, Kennesaw State University, North-West University (South Africa) and the University of New Hampshire have contributed their perspectives on how their academic institutions work with companies for recruiting students, working on projects, and developing collaborative research. This book also presents insights from senior analytics leaders from Equifax, The Home Depot, The Southern Company, and Shaw Industries on how they engage universities to support their own organizational objectives. This book can help leaders of analytics organizations better understand what both the company and the university need to achieve for a partnership to be considered "successful". Companies are facing previously unforeseen challenges related to the translation of massive amounts of data into information to solve current challenges and anticipate new ones. The perspectives, case studies, tips, tools, and checklists in this book will become a "secret weapon" for business leaders who are responsible for improving their organization's analytics maturity. .

The Future of Recruitment explores how to use technology ethically to tackle past issues and future developments in recruitment, helping define new directions and values for a future of recruitment that serves society, employers, and job seekers alike.

Utilize organizational data and analytics to make better decisions about managing the learning and development of your workforce.

Start, Build, and Navigate Your Training and TD Career ATD’s Handbook for Training and Talent Development is the premier resource and compendium of everything a training and talent development (TD) professional needs to know to start, build, and navigate a thriving career. Now in its third edition and grounded by the Talent Development Capability Model, this is more than a revised volume. This edition offers an up-to-date view of the growing roles of talent development professionals, our changing world of work, and the critical need for business alignment. Edited by Elaine Biech, the third edition is divided into eight sections comprising 57 chapters authored by 100 expert practitioners—the brightest thinkers in the field—who share foundational and advanced perspectives and information. The Handbook dives deeply into growing professional expertise and personal skills, virtual learning and remote work, trends affecting TD, managing organizational and career change, growing roles in TD, and understanding organizational impact and business alignment. Fifty online tools are available to download, and there is also a glossary and references. TD professionals, keep this practical, companionable volume close by; it’s the reference you will always turn to.

Our newly digital world is generating an almost unimaginable amount of data about all of us. Such a vast amount of data is useless without plans and strategies that are designed to cope with its size and complexity, and which enable organisations to leverage the information to create value. This book is a refreshingly practical, yet theoretically sound roadmap to leveraging big data and analytics. Creating Value with Big Data Analytics provides a nuanced view of big data development, arguing that big data in itself is not a revolution but an evolution of the increasing availability of data that has been observed in recent times. Building on the authors’ extensive academic and practical knowledge, this book aims to provide managers and analysts with strategic directions and practical analytical solutions on how to create value from existing and new big data. By tying data and analytics to specific goals and processes for implementation, this is a much-needed book that will be essential reading for students and specialists of data analytics, marketing research, and customer relationship management.