Because Data Can T Speak For Itself
Download Because Data Can T Speak For Itself PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Because Data Can T Speak For Itself book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
Because Data Can't Speak for Itself
A guide for how to tell clear, data-driven stories that will make an impact. People with important evidence-based ideas often struggle to translate data into stories their readers can relate to and understand. And if leaders can't communicate well to their audience, they will not be able to make important changes in the world. Why do some evidence-based ideas thrive while others die? And how do we improve the chances of worthy ideas? In Because Data Can't Speak for Itself, accomplished educators and writers David Chrisinger and Lauren Brodsky tackle these questions head-on. They reveal the parts and functions of effective data-driven stories and explain myriad ways to turn your data dump into a narrative that can inform, persuade, and inspire action. Chrisinger and Brodsky show that convincing data-driven stories draw their power from the same three traits, which they call people, purpose, and persistence. Writers need to find the real people behind the numbers and share their stories. At the same time, they need to remember their own purpose and be honest about what data says—and, just as importantly, what it does not. Compelling and concise, this fast-paced tour of success stories—and several failures—includes examples on topics such as COVID-19, public diplomacy, and criminal justice. Chrisinger and Brodsky's easy-to-apply tool kit will turn anyone into an effective and persuasive evidence-based writer. Aimed at policy analysts, politicians, journalists, teachers, and business leaders, Because Data Can't Speak for Itself will transform the way you communicate ideas.
The Inclusion Equation
Accessible, thorough guide to merging data analysis and AI with new talent strategies The Inclusion Equation is a comprehensive, one-of-a-kind guide to merging DEI and employee wellbeing concepts with data analytics and AI. In this book, renowned thought leader and professional keynote speaker Dr. Serena Huang explains exactly how to quantify the effectiveness of new talent strategies by connecting them to a firm ROI estimate, enabling readers to approach and win the favor of higher-ups in any organization with the same effectiveness that marketing and financial departments do. This book is written in a style that is appealing and accessible to all readers regardless of technical background, but with enough depth to provide real insight and strategies. Dr. Serena H. Huang distills her 10 years of Fortune 500 people analytics leadership experience into tools and framework you can leverage to measure and improve DEI and wellbeing in your workplace. Some of the topics explored in this book include: Attract and retain top talent, including Gen Z and Millennials, with tailored DEI and wellbeing strategies Quantifying not only a talent strategy's perceived initial effect on an organization, but also its improvement and expansion over time Turning DEI and wellbeing from illusive corporate concepts to quantifiable metrics Harness the power of AI to create synchronized DEI and wellbeing strategies that maximize ROI Getting serious attention from your CEO and CFO by quantifying HR initiatives Using data storytelling to demonstrate the business impact of DEI and wellbeing Preparing for the future by understanding the role of AI in creating an inclusive and healthy workplace The Inclusion Equation is a complete guide for DEI and wellbeing, covering getting started in measurement to using storytelling to influence leadership. This is the contemporary playbook for any organization intending to substantially improve their diversity, equity, inclusion, and employee wellbeing by leveraging data & AI. This book is also perfect for any data analytics professionals who want to understand how to apply analytics to issues that keep their CEOs up at night. Whether you are a data expert or data novice, as long as you are serious about improving DEI and wellbeing, this book is for you.
Business Analytics
Author: Richard Vidgen
language: en
Publisher: Bloomsbury Publishing
Release Date: 2019-09-28
This exciting new textbook offers an accessible, business-focused overview of the key theoretical concepts underpinning modern data analytics. It provides engaging and practical advice on using the key software tools, including SAS Visual Analytics, R and DataRobot, that are used in organisations to help make effective data-driven decisions. Combining theory with hands-on practical examples, this essential text includes cutting edge coverage of new areas of interest including social media analytics, design thinking and the ethical implications of using big data. A wealth of learning features including exercises, cases, online resources and data sets help students to develop analytic problem-solving skills. With its management perspective on analytics and its coverage of a range of popular software tools, this is an ideal essential text for upper-level undergraduate, postgraduate and MBA students. It is also ideal for practitioners wanting to understand the broader organisational context of big data analysis and to engage critically with the tools and techniques of business analytics. Accompanying online resources for this title can be found at bloomsburyonlineresources.com/business-analytics. These resources are designed to support teaching and learning when using this textbook and are available at no extra cost.