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Author: Matthew Betts
Publisher: Society for Human Resource Management
ISBN: 9781586445379
Category : Business & Economics
Languages : en
Pages : 0
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Book Description
We know HR practices have a significant impact on an organization's bottom line, but too often HR leaders fail to demonstrate direct connections to the business metrics that matter most to executives. Predicting Business Success goes beyond the usual slicing and dicing of HR data to show HR professionals how to definitively connect the dots between people data and business outcomes with a straightforward approach for scaling analytics to all leaders and all levels, detailed strategies for collecting key data elements and making talent profiles predictive, and proven guidelines for harnessing data for selection and recruitment, onboarding, employee surveys, training needs, and much more.
Author: Matthew Betts
Publisher: Society for Human Resource Management
ISBN: 9781586445379
Category : Business & Economics
Languages : en
Pages : 0
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Book Description
We know HR practices have a significant impact on an organization's bottom line, but too often HR leaders fail to demonstrate direct connections to the business metrics that matter most to executives. Predicting Business Success goes beyond the usual slicing and dicing of HR data to show HR professionals how to definitively connect the dots between people data and business outcomes with a straightforward approach for scaling analytics to all leaders and all levels, detailed strategies for collecting key data elements and making talent profiles predictive, and proven guidelines for harnessing data for selection and recruitment, onboarding, employee surveys, training needs, and much more.
Author: David Lahey
Publisher: John Wiley & Sons
ISBN: 1118985990
Category : Business & Economics
Languages : en
Pages : 192
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Book Description
Make the right hires every time, with an analytical approach to talent Predicting Success is a practical guide to finding the perfect member for your team. By applying the principles and tools of human analytics to the workplace, you'll avoid bad culture fits, mismatched skillsets, entitled workers, and other hiring missteps that drain the team of productivity and morale. This book provides guidance toward implementing tools like the Predictive Index®, behavior analytics, hiring assessments, and other practical resources to build your best team and achieve the best outcomes. Written by a human analytics specialist who applies these principles daily, this book is the manager's guide to aligning people with business strategy to find the exact person your team is missing. An avalanche of research describes an evolving business landscape that will soon be populated by workers in jobs that don't fit. This is bad news for both the workers and the companies, as bad hires affect outcomes on the individual and organizational level, and can potentially hinder progress long after the situation has been rectified. Predicting Success is a guide to avoiding that by integrating analytical tools into the hiring process from the start. Hire without the worry of mismatched expectations Apply practical analytics tools to the hiring process Build the right team and avoid disconnected or dissatisfied workers Stop seeing candidates as "chances," and start seeing them as opportunities Analytics has proved to be integral in the finance, tech, marketing, and banking industries, but when applied to talent acquisition, it can build the team that takes the company to the next level. If the future will be full of unhappy workers in underperforming companies, getting out from under that weight ahead of time would confer a major advantage. Predicting Success provides evidence-based strategies that help you find precisely the talent you need.
Author: Robert Passikoff
Publisher: John Wiley & Sons
ISBN: 0470088796
Category : Business & Economics
Languages : en
Pages : 256
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Book Description
Praise for Predicting Market Success "Predicting Market Success has come at the right time for major companies. The value of understanding the dimensions of your brand's unique appeal and strength of preference is indispensable for brand strategy today. This book is well worth your time." —Joseph T. Plummer, Chief Research OfficerThe Advertising Research Foundation "In the competitive world of branding, understanding what drives consumer loyalty is the cornerstone of a brand's continued success. Passikoff's market-driven insights on how to obtain, analyze, and utilize loyalty metrics will help you make strategic, brand-enhancing decisions." —Seth M. Siegel, Cochairman, The Beanstalk Group "Passikoff is the guy who can explain to me why people buy certain things from certain companies, even though other things by other companies seem just as good. With his great feel for pop culture and almost philosophical outlook, he understands what makes consumers tick-and stick." —Lenore Skenazy, syndicated columnist "Loyalty is a key component of the strength of a brand and brand equity, and Passikoff understands loyalty like few others. In this book, he captures the essence of loyalty and branding in a practical way-showing how loyalty drives profitability." —Erich Joachimsthaler, Chairman, Vivaldi Partners "If you want a business book that will make you feel justified, complimented, and comfortable, don't read this. If you want a book to challenge your beliefs about brand marketing right down to the core, you can't afford not to." —John Gaffney, Executive Editor, Peppers & Rogers Group
Author: Arnold C. Cooper
Publisher:
ISBN: 9781568066622
Category : Entrepreneurship
Languages : en
Pages : 21
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Book Description
Examines some of the challenges in trying to predict new firm performance.
Author: Drew D'Agostino
Publisher: John Wiley & Sons
ISBN: 1119630967
Category : Business & Economics
Languages : en
Pages : 254
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Book Description
The ultimate playbook for using artificial intelligence to communicate effectively, build teams, and win customers Not long ago, we imagined a hyper-connected world full of trust and openness—a world where effortless communication would bring about a new understanding between people everywhere. Judging from our current environment, this vision of the future may have been overly optimistic. With infinite channels and countless voices flooding them with messages, most people have become highly skeptical and guarded by necessity. As a result, communication is much harder than ever before. Despite the unprecedented connectivity enabled by modern technology, we are far less likely to trust and to invest the time needed to build strong relationships. How can we use technology to reverse this trend? A groundbreaking new branch of artificial intelligence—Personality AI—may be the answer. Combining traditional machine learning, data analytics, and behavioral psychology, Personality AI helps professional communicators tear down walls, establish trust with their audiences, and utilize data to build meaningful relationships, strengthen empathy, and win more customers. Predicting Personality is a practical, real-world playbook for any individual or business whose success hinges on the ability to communicate effectively and build teams. Authors Drew D’Agostino and Greg Skloot—CEO and President, respectively, of Crystal, the app that tells you anyone's personality—show you how businesses can leverage Personality AI and machine learning to grow faster and communicate more effectively than was previously possible. This reader-friendly guide teaches you what Personality AI is, how it works, and demonstrates its practical applications in both life and business. This book: ● Explains how to understand personality types in various contexts, including sales, recruiting, coaching ● Provides guidelines for using personality data to learn and execute ● Explores ethics and compliance considerations surrounding the use of Personality AI ● Offers valuable insights from a leader in the business applications of Personality AI Predicting Personality: Using AI to Understand People and Win More Business is a must-have guide for C-suite executives, sales and marketing professionals, coaches, recruiters, and business owners.
Author: Eric Siegel
Publisher: John Wiley & Sons
ISBN: 1119153654
Category : Business & Economics
Languages : en
Pages : 368
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Book Description
"Mesmerizing & fascinating..." —The Seattle Post-Intelligencer "The Freakonomics of big data." —Stein Kretsinger, founding executive of Advertising.com Award-winning | Used by over 30 universities | Translated into 9 languages An introduction for everyone. In this rich, fascinating — surprisingly accessible — introduction, leading expert Eric Siegel reveals how predictive analytics (aka machine learning) works, and how it affects everyone every day. Rather than a “how to” for hands-on techies, the book serves lay readers and experts alike by covering new case studies and the latest state-of-the-art techniques. Prediction is booming. It reinvents industries and runs the world. Companies, governments, law enforcement, hospitals, and universities are seizing upon the power. These institutions predict whether you're going to click, buy, lie, or die. Why? For good reason: predicting human behavior combats risk, boosts sales, fortifies healthcare, streamlines manufacturing, conquers spam, optimizes social networks, toughens crime fighting, and wins elections. How? Prediction is powered by the world's most potent, flourishing unnatural resource: data. Accumulated in large part as the by-product of routine tasks, data is the unsalted, flavorless residue deposited en masse as organizations churn away. Surprise! This heap of refuse is a gold mine. Big data embodies an extraordinary wealth of experience from which to learn. Predictive analytics (aka machine learning) unleashes the power of data. With this technology, the computer literally learns from data how to predict the future behavior of individuals. Perfect prediction is not possible, but putting odds on the future drives millions of decisions more effectively, determining whom to call, mail, investigate, incarcerate, set up on a date, or medicate. In this lucid, captivating introduction — now in its Revised and Updated edition — former Columbia University professor and Predictive Analytics World founder Eric Siegel reveals the power and perils of prediction: What type of mortgage risk Chase Bank predicted before the recession. Predicting which people will drop out of school, cancel a subscription, or get divorced before they even know it themselves. Why early retirement predicts a shorter life expectancy and vegetarians miss fewer flights. Five reasons why organizations predict death — including one health insurance company. How U.S. Bank and Obama for America calculated the way to most strongly persuade each individual. Why the NSA wants all your data: machine learning supercomputers to fight terrorism. How IBM's Watson computer used predictive modeling to answer questions and beat the human champs on TV's Jeopardy! How companies ascertain untold, private truths — how Target figures out you're pregnant and Hewlett-Packard deduces you're about to quit your job. How judges and parole boards rely on crime-predicting computers to decide how long convicts remain in prison. 182 examples from Airbnb, the BBC, Citibank, ConEd, Facebook, Ford, Google, the IRS, LinkedIn, Match.com, MTV, Netflix, PayPal, Pfizer, Spotify, Uber, UPS, Wikipedia, and more. How does predictive analytics work? This jam-packed book satisfies by demystifying the intriguing science under the hood. For future hands-on practitioners pursuing a career in the field, it sets a strong foundation, delivers the prerequisite knowledge, and whets your appetite for more. A truly omnipresent science, predictive analytics constantly affects our daily lives. Whether you are a
Author: Frank Jefferson Williams
Publisher:
ISBN:
Category : Executive ability
Languages : en
Pages : 248
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Book Description
Author:
Publisher:
ISBN: 9789811520259
Category : Electronic books
Languages : en
Pages : 714
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Book Description
This book features a collection of high-quality research papers presented at the International Conference on Tourism, Technology & Systems (ICOTTS 2019), held at the Universidad Abierta Interamericana, in Buenos Aires, Argentina, from 5th to 7th December 2019. It covers the areas technology in tourism and the tourist experience, generations and technology in tourism, digital marketing applied to tourism and travel, mobile technologies applied to sustainable tourism, information technologies in tourism, digital transformation of tourism business, e-tourism and tourism 2.0, big data and management for travel and tourism, geotagging and tourist mobility, smart destinations, robotics in tourism, and information systems and technologies.
Author: OECD
Publisher: OECD Publishing
ISBN: 9264048782
Category :
Languages : en
Pages : 238
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Book Description
This report presents reports from 15 countries that provide interesting insights into the operations of and challenges faced by high-growth enterprises as well as a policy survey of 340 programmes in 24 countries.
Author: Sergio Consoli
Publisher: Springer Nature
ISBN: 3030668916
Category : Application software
Languages : en
Pages : 357
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Book Description
This open access book covers the use of data science, including advanced machine learning, big data analytics, Semantic Web technologies, natural language processing, social media analysis, time series analysis, among others, for applications in economics and finance. In addition, it shows some successful applications of advanced data science solutions used to extract new knowledge from data in order to improve economic forecasting models. The book starts with an introduction on the use of data science technologies in economics and finance and is followed by thirteen chapters showing success stories of the application of specific data science methodologies, touching on particular topics related to novel big data sources and technologies for economic analysis (e.g. social media and news); big data models leveraging on supervised/unsupervised (deep) machine learning; natural language processing to build economic and financial indicators; and forecasting and nowcasting of economic variables through time series analysis. This book is relevant to all stakeholders involved in digital and data-intensive research in economics and finance, helping them to understand the main opportunities and challenges, become familiar with the latest methodological findings, and learn how to use and evaluate the performances of novel tools and frameworks. It primarily targets data scientists and business analysts exploiting data science technologies, and it will also be a useful resource to research students in disciplines and courses related to these topics. Overall, readers will learn modern and effective data science solutions to create tangible innovations for economic and financial applications.
