Developing Analytic Talent

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Developing Analytic Talent

Author : Vincent Granville
Publisher : John Wiley & Sons
Page : 336 pages
File Size : 50,9 Mb
Release : 2014-03-24
Category : Computers
ISBN : 9781118810095

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Developing Analytic Talent by Vincent Granville Pdf

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.

People Analytics in the Era of Big Data

Author : Jean Paul Isson,Jesse S. Harriott
Publisher : John Wiley & Sons
Page : 406 pages
File Size : 55,6 Mb
Release : 2016-04-21
Category : Business & Economics
ISBN : 9781119233169

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People Analytics in the Era of Big Data by Jean Paul Isson,Jesse S. Harriott Pdf

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.

Learning Analytics

Author : John R Mattox II,Mark Van Buren,Jean Martin
Publisher : Kogan Page Publishers
Page : 256 pages
File Size : 53,9 Mb
Release : 2016-09-03
Category : Business & Economics
ISBN : 9780749476366

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Learning Analytics by John R Mattox II,Mark Van Buren,Jean Martin Pdf

Faced with organizations that are more dispersed, a workforce that is more diverse and the pressure to reduce costs, CEOs and CFOs are increasingly asking what the return on investment is from training and development programmes. Learning Analytics provides a framework for understanding how to work with learning analytics at an advanced level. It focuses on the questions that training evaluation is intended to answer: is training effective and how can it be improved? It discusses the field of learning analytics, outlining how and why analytics can be useful, and takes the reader through examples of approaches to answering these questions and looks at the valuable role that technology has to play. Even where technological solutions are employed, the HR or learning and development practitioner needs to understand what questions they should be asking of their data to ensure alignment between training and business needs. Learning Analytics enables both senior L&D and HR professionals as well as CEOs and CFOs to see the transformational power that effective analytics has for building a learning organization, and the impacts that this has on performance, talent management, and competitive advantage. It helps learning and development professionals to make the business case for their activities, demonstrating what is truly adding value and where budgets should be spent, and to deliver a credible service to their business by providing metrics based on which sound business decisions can be made.

Closing the Analytics Talent Gap

Author : Jennifer Priestley,Taylor & Francis Group,Robert McGrath
Publisher : Auerbach Publications
Page : 108 pages
File Size : 42,5 Mb
Release : 2021-05-04
Category : Electronic
ISBN : 0367754665

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Closing the Analytics Talent Gap by Jennifer Priestley,Taylor & Francis Group,Robert McGrath Pdf

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

Author : Franziska Leutner,Reece Akhtar,Tomas Chamorro-Premuzic
Publisher : Emerald Group Publishing
Page : 126 pages
File Size : 48,7 Mb
Release : 2022-03-11
Category : Business & Economics
ISBN : 9781838675615

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The Future of Recruitment by Franziska Leutner,Reece Akhtar,Tomas Chamorro-Premuzic Pdf

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.

Learning Analytics

Author : Cristina Hall,John R. Mattox, II,Peggy Parskey
Publisher : Unknown
Page : 0 pages
File Size : 42,7 Mb
Release : 2020
Category : Business & Economics
ISBN : 1789662982

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Learning Analytics by Cristina Hall,John R. Mattox, II,Peggy Parskey Pdf

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

Co-Creating Talent and Human-Centered Organizations

Author : Justine Chinoperekweyi
Publisher : IAP
Page : 148 pages
File Size : 45,9 Mb
Release : 2023-07-01
Category : Business & Economics
ISBN : 9798887302881

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Co-Creating Talent and Human-Centered Organizations by Justine Chinoperekweyi Pdf

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.

Data Science for Business

Author : Foster Provost,Tom Fawcett
Publisher : "O'Reilly Media, Inc."
Page : 414 pages
File Size : 43,7 Mb
Release : 2013-07-27
Category : Computers
ISBN : 9781449374280

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Data Science for Business by Foster Provost,Tom Fawcett Pdf

Written by renowned data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data science, and walks you through the "data-analytic thinking" necessary for extracting useful knowledge and business value from the data you collect. This guide also helps you understand the many data-mining techniques in use today. Based on an MBA course Provost has taught at New York University over the past ten years, Data Science for Business provides examples of real-world business problems to illustrate these principles. You’ll not only learn how to improve communication between business stakeholders and data scientists, but also how participate intelligently in your company’s data science projects. You’ll also discover how to think data-analytically, and fully appreciate how data science methods can support business decision-making. Understand how data science fits in your organization—and how you can use it for competitive advantage Treat data as a business asset that requires careful investment if you’re to gain real value Approach business problems data-analytically, using the data-mining process to gather good data in the most appropriate way Learn general concepts for actually extracting knowledge from data Apply data science principles when interviewing data science job candidates

Predictive Analytics for Human Resources

Author : Jac Fitz-enz,John Mattox, II
Publisher : John Wiley & Sons
Page : 180 pages
File Size : 43,6 Mb
Release : 2014-07-28
Category : Business & Economics
ISBN : 9781118893678

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Predictive Analytics for Human Resources by Jac Fitz-enz,John Mattox, II Pdf

Create and run a human resource analytics project with confidence For any human resource professional that wants to harness the power of analytics, this essential resource answers the questions: "Where do I start?" and "What tools are available?" Predictive Analytics for Human Resources is designed to answer these and other vital questions. The book explains the basics of every business—the vision, the brand, and the culture, and shows how predictive analytics supports them. The authors put the focus on the fundamentals of predictability and include a framework of logical questions to help set up an analytic program or project, then follow up by offering a clear explanation of statistical applications. Predictive Analytics for Human Resources is a how-to guide filled with practical and targeted advice. The book starts with the basic idea of engaging in predictive analytics and walks through case simulations showing statistical examples. In addition, this important resource addresses the topics of internal coaching, mentoring, and sponsoring and includes information on how to recruit a sponsor. In the book, you'll find: A comprehensive guide to developing and implementing a human resource analytics project Illustrative examples that show how to go to market, develop a leadership model, and link it to financial targets through causal modeling Explanations of the ten steps required in building an analytics function How to add value through analysis of systems such as staffing, training, and retention For anyone who wants to launch an analytics project or program for HR, this complete guide provides the information and instruction to get started the right way.

The Analytics Lifecycle Toolkit

Author : Gregory S. Nelson
Publisher : John Wiley & Sons
Page : 365 pages
File Size : 54,6 Mb
Release : 2018-03-07
Category : Business & Economics
ISBN : 9781119425106

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The Analytics Lifecycle Toolkit by Gregory S. Nelson Pdf

An evidence-based organizational framework for exceptional analytics team results The Analytics Lifecycle Toolkit provides managers with a practical manual for integrating data management and analytic technologies into their organization. Author Gregory Nelson has encountered hundreds of unique perspectives on analytics optimization from across industries; over the years, successful strategies have proven to share certain practices, skillsets, expertise, and structural traits. In this book, he details the concepts, people and processes that contribute to exemplary results, and shares an organizational framework for analytics team functions and roles. By merging analytic culture with data and technology strategies, this framework creates understanding for analytics leaders and a toolbox for practitioners. Focused on team effectiveness and the design thinking surrounding product creation, the framework is illustrated by real-world case studies to show how effective analytics team leadership works on the ground. Tools and templates include best practices for process improvement, workforce enablement, and leadership support, while guidance includes both conceptual discussion of the analytics life cycle and detailed process descriptions. Readers will be equipped to: Master fundamental concepts and practices of the analytics life cycle Understand the knowledge domains and best practices for each stage Delve into the details of analytical team processes and process optimization Utilize a robust toolkit designed to support analytic team effectiveness The analytics life cycle includes a diverse set of considerations involving the people, processes, culture, data, and technology, and managers needing stellar analytics performance must understand their unique role in the process of winnowing the big picture down to meaningful action. The Analytics Lifecycle Toolkit provides expert perspective and much-needed insight to managers, while providing practitioners with a new set of tools for optimizing results.

ATD's Handbook for Training and Talent Development

Author : Elaine Biech
Publisher : Association for Talent Development
Page : 1133 pages
File Size : 53,8 Mb
Release : 2022-05-24
Category : Business & Economics
ISBN : 9781953946355

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ATD's Handbook for Training and Talent Development by Elaine Biech Pdf

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.

Creating Value with Big Data Analytics

Author : Peter C. Verhoef,Edwin Kooge,Natasha Walk
Publisher : Routledge
Page : 440 pages
File Size : 44,9 Mb
Release : 2016-01-08
Category : Business & Economics
ISBN : 9781317561910

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Creating Value with Big Data Analytics by Peter C. Verhoef,Edwin Kooge,Natasha Walk Pdf

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.

The Data Science Handbook

Author : Carl Shan,Henry Wang,William Chen,Max Song
Publisher : Unknown
Page : 128 pages
File Size : 49,9 Mb
Release : 2015-05-03
Category : Electronic
ISBN : 0692434879

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The Data Science Handbook by Carl Shan,Henry Wang,William Chen,Max Song Pdf

The Data Science Handbook is a curated collection of 25 candid, honest and insightful interviews conducted with some of the world's top data scientists.In this book, you'll hear how the co-creator of the term 'data scientist' thinks about career and personal success. You'll hear from a young woman who created her own data scientist curriculum, subsequently landing her a role in the field. Readers of this book will be left with war stories, wisdom and

Creating Value with Data Analytics in Marketing

Author : Peter C. Verhoef,Edwin Kooge,Natasha Walk,Jaap E. Wieringa
Publisher : Routledge
Page : 337 pages
File Size : 54,6 Mb
Release : 2021-11-07
Category : Business & Economics
ISBN : 9781000465464

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Creating Value with Data Analytics in Marketing by Peter C. Verhoef,Edwin Kooge,Natasha Walk,Jaap E. Wieringa Pdf

The key competing texts are practitioner-focused ‘how to’ guides, whilst our book combines rigorous theory with practical insight and examples, with authors from both the academic and business world, making it more adoptable as a student text; Unlike other books on the subject, this has a customer focus and an exploration of how big data can add value to customers as well as organisations; Enables readers to move from "big data" to "big solutions" by demonstrating how to integrate data analytics into specific goals and processes for implementation; Highly successful and well regarded both for students and practitioners

Getting Started with Data Science

Author : Murtaza Haider
Publisher : IBM Press
Page : 941 pages
File Size : 55,9 Mb
Release : 2015-12-14
Category : Business & Economics
ISBN : 9780133991239

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Getting Started with Data Science by Murtaza Haider Pdf

Master Data Analytics Hands-On by Solving Fascinating Problems You’ll Actually Enjoy! Harvard Business Review recently called data science “The Sexiest Job of the 21st Century.” It’s not just sexy: For millions of managers, analysts, and students who need to solve real business problems, it’s indispensable. Unfortunately, there’s been nothing easy about learning data science–until now. Getting Started with Data Science takes its inspiration from worldwide best-sellers like Freakonomics and Malcolm Gladwell’s Outliers: It teaches through a powerful narrative packed with unforgettable stories. Murtaza Haider offers informative, jargon-free coverage of basic theory and technique, backed with plenty of vivid examples and hands-on practice opportunities. Everything’s software and platform agnostic, so you can learn data science whether you work with R, Stata, SPSS, or SAS. Best of all, Haider teaches a crucial skillset most data science books ignore: how to tell powerful stories using graphics and tables. Every chapter is built around real research challenges, so you’ll always know why you’re doing what you’re doing. You’ll master data science by answering fascinating questions, such as: • Are religious individuals more or less likely to have extramarital affairs? • Do attractive professors get better teaching evaluations? • Does the higher price of cigarettes deter smoking? • What determines housing prices more: lot size or the number of bedrooms? • How do teenagers and older people differ in the way they use social media? • Who is more likely to use online dating services? • Why do some purchase iPhones and others Blackberry devices? • Does the presence of children influence a family’s spending on alcohol? For each problem, you’ll walk through defining your question and the answers you’ll need; exploring how others have approached similar challenges; selecting your data and methods; generating your statistics; organizing your report; and telling your story. Throughout, the focus is squarely on what matters most: transforming data into insights that are clear, accurate, and can be acted upon.