Predictive Hr Analytics

Predictive HR Analytics PDF
Author: Dr Martin R. Edwards
Publisher: Kogan Page Publishers
ISBN: 0749484454
Size: 57.72 MB
Format: PDF, ePub, Mobi
Category : Business & Economics
Languages : en
Pages : 536
View: 6070

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HR metrics and organizational people-related data are an invaluable source of information from which to identify key trends and patterns in order to make effective business decisions. HR practitioners often, however, lack the statistical and analytical know-how to fully harness their potential. Predictive HR Analytics provides a clear, accessible framework with which to understand and work with people analytics and advanced statistical techniques. Step-by-step and by using worked examples, this book shows readers how to carry out and interpret analyses of various forms of HR data, such as employee engagement, performance and turnover, using the statistical packages SPSS (with R syntax provided), and, importantly, how to use the results to enable practitioners to develop effective evidence-based HR strategies. This second edition of Predictive HR Analytics has been updated to include new material on machine learning, biased algorithms, data protection and GDPR considerations, a new example using Kaplan Meier Survival analyses for tenure/turnover modelling and updated screenshots and examples with SPSS version 25. It is supported by a new appendix showing main R coding for the focal analyses approaches in the book, and online resources consisting of SPSS and Excel data sets and R syntax with worked case study examples.

Predictive Hr Analytics

Predictive HR Analytics PDF
Author: Kirsten Edwards
Publisher: Kogan Page Publishers
ISBN: 0749473924
Size: 27.40 MB
Format: PDF, Docs
Category : Business & Economics
Languages : en
Pages : 472
View: 4414

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Where other functions of an organization deal in profits, sales growth, forecasts and strategic planning, the HR function is responsible for employee well-being, engagement and motivation. Such concerns do not immediately conjure up images of analytical know-how, despite the fact that in reality the management of such things often requires a lot of measurement and technical skill. Predictive HR Analytics provides a clear, accessible framework with which to understand and work with HR analytics at an advanced level, taking HR professionals through examples of particular predictive models so they can develop effective HR strategies based on evidence. Predictive HR Analytics will show step-by-step, using simple terms, how to carry out analysis (using the statistical package SPSS) and interpret the results, helping to communicate the potential of HR analytics and get the most out of the HR function, whether carrying out the analysis or briefing external consultants. The book will help deliver a credible and reliable service to businesses by providing metrics on which executives will be able to make sound business decisions. Online supporting resources include data sets for using alongside the book.

Predictive Hr Analytics

Predictive HR Analytics PDF
Author:
Publisher:
ISBN:
Size: 66.84 MB
Format: PDF, ePub, Mobi
Category : Personnel management
Languages : en
Pages : 8
View: 4945

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Predictive Analytics For Human Resources

Predictive Analytics for Human Resources PDF
Author: Jac Fitz-enz
Publisher: John Wiley & Sons
ISBN: 1118893670
Size: 44.90 MB
Format: PDF, ePub
Category : Business & Economics
Languages : en
Pages : 176
View: 7352

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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.

Predictive Hr Analytics

Predictive HR Analytics PDF
Author: Mong Shen Ng
Publisher: Independently Published
ISBN: 9781790406371
Size: 22.20 MB
Format: PDF, Kindle
Category :
Languages : en
Pages : 417
View: 7236

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You don't need to spend months learning the Python, R or SQL programming language, and you don't need to buy expensive statistical software like SPSS or SAS. This is the only book that teaches you Predictive Analytics using Microsoft Excel (which you already have & know how to use)! This book not only share with you the analytics findings of other companies, but also teaches you how to derive it by yourself! It covers the ARHAT Predictive HR Analytics framework, teaches you data-storytelling & data-visualization techniques, and teaches you how to use Microsoft Excel's statistical tools (Decision trees, Correlation, Multiple Regression, Logistic Regression, Chi-Square) with step-by-step print-screen instructions. It is also the only book that covers the full HR Analytics scope (Benefits, Compensation, Culture, Diversity & Inclusion, Engagement, Leadership, Learning & Development, Payroll, Personality Traits, Performance Management, Recruitment, Sales Incentives) with numerous real-world Predictive HR Analytics examples, & shows how Predictive HR Analytics answers questions such as: (1) Predict who are the people at risk of leaving using Decision tree, Correlation, Excel Logistic Regression, etc. (e.g. employee aged 30, who stays more than xx km from the company, who is rated "average for performance", has a 90% probability of resigning in her 3rd year.). (2) Identify where the best people come from and how successful a candidate will be if hired using simple correlation (E.g. Customer Service staff and Sales staff with x & y personality traits are likely to be good performers if hired). (3) Predict impact of Employee Engagement on customer satisfaction, revenue and Shareholder Returns, etc. using Excel Multiple Regression. (e.g. 1% increase in employee engagement leads to $100k increase in company revenue, 2% increase in customer satisfaction, 1% increase in Shareholders return, 1 day reduction in average sick leave, etc.). (4) Predict financial impact of training using Excel Multiple Regression (e.g. training satisfaction rating of xx leads to $y increase in company revenue). (5) Predict Diversity & Inclusion's impact on revenue and EBIT (e.g. convert your company's ethnic diversity mix to an index number, then use Excel Multiple Regression to predict if your company's diversity Index is x --> your company's Sales will be $y and EBIT will be z%). (6) Predict employee absenteeism and accident, using Chi-Square.

Predictive Analytics Im Bereich Human Resources Chancen Und H Rden F R Die Personalarbeit

Predictive Analytics im Bereich Human Resources  Chancen und H  rden f  r die Personalarbeit PDF
Author: Viktor Andrin
Publisher: GRIN Verlag
ISBN: 3668064466
Size: 53.91 MB
Format: PDF, ePub, Mobi
Category : Business & Economics
Languages : de
Pages : 89
View: 6358

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Bachelorarbeit aus dem Jahr 2015 im Fachbereich BWL - Personal und Organisation, Note: 1,0, Hochschule für Technik Stuttgart, Sprache: Deutsch, Abstract: Die vorliegende Bachelor-Thesis befasst sich schwerpunktmäßig mit Predictive Analytics und dessen Einsatzmöglichkeiten in der Personalarbeit. Ziel ist es, ein klares Bild dieser noch recht jungen Disziplin zu vermitteln. Dabei sollen vor allem Chancen, Risiken und Hürden von Predictive Analytics für den Fachbereich Human Resources (HR) identifiziert werden. Es soll untersucht werden, wie sich Prozesse im HR durch diesen analytischen Ansatz effektiver und effizienter gestalten lassen. Auch soll die Frage behandelt werden, ob statistische Verfahren signifikant zu einer Verbesserung von Entscheidungen unter hoher Unsicherheit führen können. Die Arbeit richtet sich in erster Linie an Personalverantwortliche, die ein Interesse an prädiktiven statistischen Verfahren haben. Außerdem soll sie das Interesse von Unternehmen wecken, prädiktive Verfahren in ihrer Personalarbeit einzusetzen. Anhand der folgenden Forschungsfragen soll ein klarer thematischer Rahmen abgesteckt werden: 1. Welche Chancen und Risiken birgt Predictive Analytics für die Personalarbeit? 2. Welche Hürden müssen Unternehmen überwinden, um Predictive Analytics im HR erfolgreich zu implementieren? 3. Welchen Reifegrad haben die Unternehmen hinsichtlich des Einsatzes von Predictive Analytics im HR? Es kann folgende Hypothese aufgestellt werden, die durch die empirische Untersuchung akzeptiert oder verworfen werden soll: Der Grund, warum HR bisher kaum Anwendungsfelder mit Predictive Analytics etablieren konnte, liegt möglicherweise in der Komplexität von PA und in einer grundsätzlichen analytischen Schwäche von HR.

Hr Analytics

HR Analytics PDF
Author: Felix Wirges
Publisher: Springer-Verlag
ISBN: 3658277939
Size: 25.17 MB
Format: PDF, ePub, Docs
Category : Business & Economics
Languages : de
Pages : 40
View: 1690

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Die Bedeutung von Daten im betrieblichen Kontext nimmt auch im HR-Bereich in der jüngsten Vergangenheit deutlich zu. Begrifflichkeiten wie „HR-Analytics“ oder „People Analytics“ finden sich vermehrt auf HR-Blogs und Trendbarometern. Gleichzeitig werden sie aber immer wieder mit Unsicherheit und offenen Fragen in der Anwendung begleitet. Das Ziel dieses essentials ist es, mittels einer systematischen Analyse aufzuzeigen, welchen Herausforderungen HR-Verantwortliche und Führungskräfte durch die Einführung von HR-Analytics gegenüberstehen und welche neuen Anforderungen sich daraus ergeben, um eine effektive Implementierung im HR-Bereich zu gewährleisten.

People Analytics In Der Praxis Inkl Arbeitshilfen Online

People Analytics in der Praxis   inkl  Arbeitshilfen online PDF
Author: Cornelia Reindl
Publisher: Haufe-Lexware
ISBN: 3648096044
Size: 22.61 MB
Format: PDF
Category : Business & Economics
Languages : de
Pages : 247
View: 7776

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Die Einführung in eine datengestützte Mitarbeiterführung! Dieses Buch zeigt, wie Sie Ihre Arbeit an mitarbeiterbezogenen Themen durch Daten ergänzen und somit den Erfordernissen eines digitalen Personalmanagements gerecht werden. Es vermittelt das nötige Grundwissen, um erste People-Analytics-Lösungen für Ihr Unternehmen zu planen und einzusetzen. Zudem erfahren Sie, wie die Ergebnisse von HR-Tools richtig bewertet werden und Software optimal eingesetzt wird. Inhalte: Grundlagen HR-Controlling: Kennzahlen, Dashboards, Benchmarking. Wie People-Analytics funktioniert. Das erste eigene People-Analytics-Projekt. Anwendungsgebiete und -beispiele. Datenschutz und Mitbestimmung. Arbeitshilfen online: Checklisten. Links zu aktuellen Studien.

Predictive Hr Analytics Text Mining And Organizational Network Analysis With Excel

Predictive HR Analytics  Text Mining and Organizational Network Analysis with Excel PDF
Author: Dpg
Publisher: Independently Published
ISBN: 9781077226906
Size: 77.50 MB
Format: PDF, ePub, Mobi
Category :
Languages : en
Pages : 501
View: 7649

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A lot of organizational data is often untapped unstructured data in the form of text & numbers. You don't need to spend months learning R programming & you don't need to buy expensive SPSS statistical software. This is the only book that teaches you how to use Microsoft Excel for Predictive HR Analytics, Text Mining & Organizational Network Analysis (ONA) with step-by-step print-screen instructions: 1) Predictive HR Analytics: Use Excel's Statistical Analysis tools (Decision trees, Correlation, Multiple & Logistic Regression) to run Predictive HR Analytics. E.g. an employee is predicted to have a 60% probability of getting into accidents, if he is age 25, worked 1 year in the company & took 6 days sick leave. An employee is predicted to get rated "7" for Customer Service, if the training program that he attended has a training evaluation score of "8". An employee is predicted to resign if she is age 23, worked for 2 years, and takes 60 minutes to commute to work. 2) Organizational Network Analysis (ONA): Run ONA using Excel's network analysis tool. Learn how to convert an employee's organizational network into a score & then predict if they will be a high-potential (HiPo). E.g. an employee is predicted to be a HiPo with performance rating of "9", if his "Social Network Size" is "16", "Social Network Diversity Index" is "3" & "Competency Score" is "8". 3) Text Mining, Sentiment Analysis & Word Clouds: Mine text from social network posts, employee engagement surveys & Glassdoor comments, then run Sentiment Analysis using Excel & visualize the insights with "Word Clouds". Learn how to predict a company's average employee attrition rate based on its sentiment. E.g. a company's average employee attrition rate is predicted to be 8%, if unemployment rate is 3%, GDP growth is 2%, Glassdoor public sentiment rating is "5", and engagement score is "7".

The New Hr Analytics

The New HR Analytics PDF
Author: Jac Fitz-enz
Publisher: AMACOM/American Management Association
ISBN: 9780814416433
Size: 66.99 MB
Format: PDF, ePub, Docs
Category : Business & Economics
Languages : en
Pages : 342
View: 668

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In his landmark book The ROI of Human Capital, Jac Fitz-enz presented a system of powerful metrics for quantifying the contributions of individual employees to a company's bottom line. The New HR Analytics is another such quantum leap, reveal ing how to predict the value of future human capital investments. Using Fitz-enz's proprietary analytic model, readers learn how to measure and evaluate past and current returns. By combining those results with focused business intelligence and applying the exclusive analytical tools in the book. Brimming with real world examples and input from thirty top HR practitioners and thought leaders, this groundbreaking book ushers in a new era in human resources and human capital management.