Predictive Hr Analytics Text Mining And Organizational Network Analysis With Excel PDF Download

Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Predictive Hr Analytics Text Mining And Organizational Network Analysis With Excel PDF full book. Access full book title Predictive Hr Analytics Text Mining And Organizational Network Analysis With Excel.

Predictive HR Analytics, Text Mining and Organizational Network Analysis with Excel

Predictive HR Analytics, Text Mining and Organizational Network Analysis with Excel
Author: Dpg
Publisher: Independently Published
Total Pages: 501
Release: 2019-06-30
Genre:
ISBN: 9781077226906
GET BOOK

Download Predictive HR Analytics, Text Mining and Organizational Network Analysis with Excel Book in PDF, ePub and Kindle

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".

Predictive HR Analytics

Predictive HR Analytics
Author: Mong Shen Ng
Publisher: Independently Published
Total Pages: 417
Release: 2018-11-27
Genre:
ISBN: 9781790406371
GET BOOK

Download Predictive HR Analytics Book in PDF, ePub and Kindle

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.

People, Sentiment and Social Network Analytics with Excel

People, Sentiment and Social Network Analytics with Excel
Author: Mong Shen Ng
Publisher:
Total Pages: 501
Release: 2019-06-23
Genre:
ISBN: 9781075419515
GET BOOK

Download People, Sentiment and Social Network Analytics with Excel Book in PDF, ePub and Kindle

A lot of organizational data is often untapped unstructured data in the form of text & numbers. This is the only book that teaches you how to use Excel & Word for People Analytics, Text Analytics, Sentiment Analysis & Social Network Analysis with step-by-step print-screen instructions: 1) Text Analytics (Text Mining): Mine employee's resume, engagement surveys & Glassdoor comments to uncover insights, then visualize the comments using "Pro word cloud", a free Microsoft Word add-In. 2) Sentiment Analysis: Mine text from social network posts & Glassdoor comments, then run Sentiment Analysis using "Azure Machine", a free Excel add-In. Learn how to predict a company's average employee attrition rate. E.g. a company's average employee attrition rate is predicted to be 8.1%, if unemployment rate is 3.3%, GDP growth is 2.3% & its Glassdoor public sentiment rating is 5. 3) Social Network Analysis (SNA) & Organizational Network Analysis (ONA): Run SNA & ONA using "NodeXL", a free open-source Excel network analysis tool. Learn how to convert an employee's social network into a score, & then predict their performance rating. E.g. an employee is predicted to get a performance rating of "7", if their "Social Network Size" is 16, "Social Network Diversity Index" is 3.1 & "Skillsets Score" is 8. 4) Predictive People Analytics: Use Excel's Statistical Analysis tools (Decision trees, Correlation, Multiple & Logistic Regression) to run Predictive People Analytics covering: Employee Engagement, Employee Attrition & Absenteeism, Performance, Compensation & Benefits, Training & Development, Health, Safety & Environment, Diversity & Inclusion. For example, an employee is predicted to have a 60% probability of getting into accidents, if he is age 30, worked 2 years in the company, and took 6 days sick leave. An employee is predicted to get rated "7" for Customer Service, if the training program that they attended has a training evaluation score of "8".

Hr Analytics Essentials You Always Wanted To Know

Hr Analytics Essentials You Always Wanted To Know
Author: Vibrant Publishers
Publisher: Vibrant Publishers
Total Pages: 131
Release: 2021-04-06
Genre: Business & Economics
ISBN: 1636510345
GET BOOK

Download Hr Analytics Essentials You Always Wanted To Know Book in PDF, ePub and Kindle

After reading this book, you will be able to: ● Define what HR Analytics can do for an organization ● Determine the best HR analytics role for you ● Assess the readiness of your organization for undergoing a study using HR analytics ● Apply HR Analytics in various HR disciplines, including recruiting and staffing, labor negotiations, incentives, and training ● Use Excel to efficiently manage data for your HR analytics Have you ever wondered if there is a science behind the people decisions businesses make? If you have ever been curious about the methods employed by human resources professionals, then HR Analytics Essentials You Always Wanted to Know is the resource guide you need! Part overview of the field, part handbook for getting started in HR Analytics yourself, HR Analytics Essentials You Always Wanted to Know walks readers through the many benefits of using analytics to make better people decisions. HR Analytics requires more than just strong gut instincts and a talent for talking with people. As this guide shows, HR Analytics is both an art and a science that can help your organization make informed decisions that benefit all stakeholders, including employees. Through a blend of theory and practice, you will learn how to think like an HR Analytics professional and apply your expertise in real-world scenarios. With case studies and online tutorials, including a step-by-step guide for using Excel to efficiently work with your data, HR Analytics Essentials You Always Wanted to Know will be the handbook you need to help steer your organization to success. About the Author Dr. Michael Walsh is an industrial and organizational psychologist with over 15 years of human resources and people analytics experience. Michael currently leads Global Talent Management and Organizational Effectiveness for Eaton Corporation’s Vehicle Group. He also teaches a Human Resources Analytics course for master’s level students at the University of Illinois and Wayne State University. Previously, Michael’s passion for People Analytics landed him at Bloomberg and Fiat Chrysler Automobiles where he started and led the Global People Strategy and Analytics and People Analytics and Insights functions, respectively. Michael began his professional career as a client facing consultant for Mercer’s Human Capital practice focused on HR Strategy, Organizational Design/Development and Human Capital Analytics. Michael worked for Mercer in Chicago, Dubai and New York. His master’s degree is in Human Resources and Industrial Relations from the University of Illinois and his PhD is in Industrial and Organizational Psychology. About Vibrant Publishers Vibrant Publishers is focused on presenting the best texts for learning about technology and business as well as books for test preparation. Categories include programming, operating systems and other texts focused on IT. In addition, a series of books helps professionals in their own disciplines learn the business skills needed in their professional growth. Vibrant Publishers has a standardized test preparation series covering the GMAT, GRE and SAT, providing ample study and practice material in a simple and well organized format, helping students get closer to their dream universities.

Predictive HR Analytics

Predictive HR Analytics
Author: Dr Martin R. Edwards
Publisher: Kogan Page Publishers
Total Pages: 529
Release: 2024-06-03
Genre: Business & Economics
ISBN: 1398615897
GET BOOK

Download Predictive HR Analytics Book in PDF, ePub and Kindle

This is the essential guide for HR practitioners who want to gain the statistical and analytical knowledge to fully harness the potential of HR metrics and organizational people-related data. The ability to use and analyse data has become an invaluable skill for HR professionals to not only identify trends and patterns, but also make well-informed business decisions. The third edition of Predictive HR Analytics provides a clear, accessible framework for understanding people data, working with people analytics and advanced statistical techniques. Readers will be taken step-by-step through worked examples, showing them how to carry out analyses and interpret HR data in areas such as employee engagement, performance and turnover. Learn how to make effective business decision with this updated edition that includes the latest materials on biased algorithms and data protection, supported by online resources consisting of R and Excel data sets.

Predictive HR Analytics

Predictive HR Analytics
Author: Dr Martin R. Edwards
Publisher: Kogan Page Publishers
Total Pages: 537
Release: 2019-03-03
Genre: Business & Economics
ISBN: 0749484454
GET BOOK

Download Predictive HR Analytics Book in PDF, ePub and Kindle

HR metrics and organizational people-related data are an invaluable source of information from which to identify trends and patterns in order to make effective business decisions. But HR practitioners often lack the statistical and analytical know-how to fully harness the potential of this data. Predictive HR Analytics provides a clear, accessible framework for understanding and working with people analytics and advanced statistical techniques. Using the statistical package SPSS (with R syntax included), it takes readers step by step through worked examples, showing them how to carry out and interpret analyses of HR data in areas such as employee engagement, performance and turnover. Readers are shown how to use the results to enable them to develop effective evidence-based HR strategies. This second edition has been updated to include the latest material on machine learning, biased algorithms, data protection and GDPR considerations, a new example using survival analyses, and up-to-the-minute screenshots and examples with SPSS version 25. It is supported by a new appendix showing main R coding, and online resources consisting of SPSS and Excel data sets and R syntax with worked case study examples.

Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications

Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications
Author: Gary Miner
Publisher: Academic Press
Total Pages: 1096
Release: 2012-01-11
Genre: Computers
ISBN: 012386979X
GET BOOK

Download Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications Book in PDF, ePub and Kindle

"The world contains an unimaginably vast amount of digital information which is getting ever vaster ever more rapidly. This makes it possible to do many things that previously could not be done: spot business trends, prevent diseases, combat crime and so on. Managed well, the textual data can be used to unlock new sources of economic value, provide fresh insights into science and hold governments to account. As the Internet expands and our natural capacity to process the unstructured text that it contains diminishes, the value of text mining for information retrieval and search will increase dramatically. This comprehensive professional reference brings together all the information, tools and methods a professional will need to efficiently use text mining applications and statistical analysis. The Handbook of Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications presents a comprehensive how- to reference that shows the user how to conduct text mining and statistically analyze results. In addition to providing an in-depth examination of core text mining and link detection tools, methods and operations, the book examines advanced preprocessing techniques, knowledge representation considerations, and visualization approaches. Finally, the book explores current real-world, mission-critical applications of text mining and link detection using real world example tutorials in such varied fields as corporate, finance, business intelligence, genomics research, and counterterrorism activities"--

Predictive Analytics in Human Resource Management

Predictive Analytics in Human Resource Management
Author: Shivinder Nijjer
Publisher: Taylor & Francis
Total Pages: 199
Release: 2020-12-03
Genre: Business & Economics
ISBN: 1000208133
GET BOOK

Download Predictive Analytics in Human Resource Management Book in PDF, ePub and Kindle

This volume is a step-by-step guide to implementing predictive data analytics in human resource management (HRM). It demonstrates how to apply and predict various HR outcomes which have an organisational impact, to aid in strategising and better decision-making. The book: Presents key concepts and expands on the need and role of HR analytics in business management. Utilises popular analytical tools like artificial neural networks (ANNs) and K-nearest neighbour (KNN) to provide practical demonstrations through R scripts for predicting turnover and applicant screening. Discusses real-world corporate examples and employee data collected first-hand by the authors. Includes individual chapter exercises and case studies for students and teachers. Comprehensive and accessible, this guide will be useful for students, teachers, and researchers of data analytics, Big Data, human resource management, statistics, and economics. It will also be of interest to readers interested in learning more about statistics or programming.

The Culture Quotient

The Culture Quotient
Author: Greg Besner
Publisher: Ideapress Publishing
Total Pages: 230
Release: 2020-11-10
Genre: Business & Economics
ISBN: 9781646870172
GET BOOK

Download The Culture Quotient Book in PDF, ePub and Kindle

Based on never-before-shared insights from more than 1,000 organizations and millions of employees, this insightful book reveals the ten essential culture qualities that can help any organization prepare for, and thrive in a constantly changing future. The Culture Quotient provides a simple, easy-to-read approach to culture that guides readers every step of the way. It focuses on helping companies achieve better financial results, as well as increasing employee engagement, and improving talent acquisition and retention. The Culture Quotient is written with three main goals. The first is to inspire readers. The second is to provide tangible data, tips, and actions. And the third is to share culture stories from many industry leaders that show the power and results of culture initiatives in action. The Culture Quotient features forty-five culture stories and excerpts written exclusively for this book. Some featured companies include American Express, GoDaddy, Bazaarvoice, and many others. The Culture Quotient combines these three goals to provide practical takeaways and tips to help readers implement similar culture programs at their company. The author Greg Besner, is the founder of CultureIQ, a company that helps organizations around the world create high-performance cultures. He is also a highly rated adjunct professor at New York University Stern School of Business, and he was one of the original investors in Zappos.com. Besner was recently ranked in USA Today as the eighth best CEO in the United States among a pool of fifty thousand companies. He also was named the EY Entrepreneur Of The Year® in New Jersey. The Culture Quotient highlights qualities that help any organization achieve a high-performance culture. Business leaders have been seeking a practical yet data-driven solution for managing culture for a very long time. Now leaders have it with The Culture Quotient.

Profit Driven Business Analytics

Profit Driven Business Analytics
Author: Wouter Verbeke
Publisher: John Wiley & Sons
Total Pages: 420
Release: 2017-10-09
Genre: Business & Economics
ISBN: 1119286557
GET BOOK

Download Profit Driven Business Analytics Book in PDF, ePub and Kindle

Maximize profit and optimize decisions with advanced business analytics Profit-Driven Business Analytics provides actionable guidance on optimizing the use of data to add value and drive better business. Combining theoretical and technical insights into daily operations and long-term strategy, this book acts as a development manual for practitioners seeking to conceive, develop, and manage advanced analytical models. Detailed discussion delves into the wide range of analytical approaches and modeling techniques that can help maximize business payoff, and the author team draws upon their recent research to share deep insight about optimal strategy. Real-life case studies and examples illustrate these techniques at work, and provide clear guidance for implementation in your own organization. From step-by-step instruction on data handling, to analytical fine-tuning, to evaluating results, this guide provides invaluable guidance for practitioners seeking to reap the advantages of true business analytics. Despite widespread discussion surrounding the value of data in decision making, few businesses have adopted advanced analytic techniques in any meaningful way. This book shows you how to delve deeper into the data and discover what it can do for your business. Reinforce basic analytics to maximize profits Adopt the tools and techniques of successful integration Implement more advanced analytics with a value-centric approach Fine-tune analytical information to optimize business decisions Both data stored and streamed has been increasing at an exponential rate, and failing to use it to the fullest advantage equates to leaving money on the table. From bolstering current efforts to implementing a full-scale analytics initiative, the vast majority of businesses will see greater profit by applying advanced methods. Profit-Driven Business Analytics provides a practical guidebook and reference for adopting real business analytics techniques.