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In the modern world, data is wealth. The world's largest taxi company owns no cars, the world's largest retailer owns no inventory, and the world's largest accommodation provider owns no real estate. What they hold instead is data. And it is data, almost exclusively, which generates them huge revenues. Yet many people have not thought through the implications of how these business models work or where to profit from them. Aimed at business professionals looking to understand and develop business opportunities surrounding data and data storage, "Where Data is Wealth" examines the trends, technology, market direction, and openings currently available. It provides a concise, real-world look at the changing face of data technology and where the best opportunities lie. J. Bruce Daley, an industry insider with more than 30 years in the business, makes a powerful case that whilst compute and networking have traditionally held center stage, the incredible increases in data volumes now means that data and data storage is where to make investments, offer new products and services, or build a career. In turn, he details the hazards of digital wealth (and how it could disappear in an instant!), how a disrupted storage market can make you money, and even help you get a job. "About The Author." J. Bruce Daley writes, speaks, and consults about ways to profit from new software technologies. He helps organizations make better business decisions when buying and implementing technology, advises investors on achieving greater returns from investments, and aids individuals in learning new skills and discovering new opportunities. He also helps technology vendors anticipate new business opportunities, market demands, and customer needs. "Having known and worked with Bruce Daley for many years, I know there are few who know as much about data - and how to apply it to the creation of wealth - than he does." Chris Selland, VP Business Development, Big Data Platform, Hewlett Packard Enterprise. "Software is headed to being silicon.It's not easy to build, but that's not where the value is. Instead the value is going to be in the data the software can acquire and analyze. Bruce's book is a great start on your journey to understanding the power of data." Tim Chou, Author and Lecturer at Stanford University. "In our society you can't be too thin, too rich, or have too much data. This book won't help you lose weight, but it will help you with the other two." Dave Sutton, CEO and Author. "We have triggered an information technology Big Bang. Bruce Daley understands that data is the new gravity for the connected world and what that means in business today." Marc L. Songini, Author, Former High Tech Journalist and Analyst."
During the 1960s, an upstart Minnesota company, Control Data, made an enormous impact on the computer industry with the help of a handful of engineers and executives led by William Norris and Seymour Cray. The rise of Control Data from a company selling stock at $1 a share to a multi-national firm manufacturing the world's fastest computers is an extraordinary story in itself. But author Donald M. Hall also examines how the success of Control Data primed the pump of local investment and facilitated the flowering of a medical device industry that still flourishes in the state. He follows the careers of Norris and Cray, but also of Earl Bakken and Manny Villanova; he describes the changing world of computer sales, but also the ups and downs experienced by ordinary investors as firms producing innovative products sought out new investors willing to fund further research. It's a brisk and fascinating read, a portrait of a heady time, with lessons for today's investors.
Introduction.Big data for twenty-first-century economic statistics: the future is now /Katharine G. Abraham, Ron S. Jarmin, Brian C. Moyer, and Matthew D. Shapiro --Toward comprehensive use of big data in economic statistics.Reengineering key national economic indicators /Gabriel Ehrlich, John Haltiwanger, Ron S. Jarmin, David Johnson, and Matthew D. Shapiro ;Big data in the US consumer price index: experiences and plans /Crystal G. Konny, Brendan K. Williams, and David M. Friedman ;Improving retail trade data products using alternative data sources /Rebecca J. Hutchinson ;From transaction data to economic statistics: constructing real-time, high-frequency, geographic measures of consumer spending /Aditya Aladangady, Shifrah Aron-Dine, Wendy Dunn, Laura Feiveson, Paul Lengermann, and Claudia Sahm ;Improving the accuracy of economic measurement with multiple data sources: the case of payroll employment data /Tomaz Cajner, Leland D. Crane, Ryan A. Decker, Adrian Hamins-Puertolas, and Christopher Kurz --Uses of big data for classification.Transforming naturally occurring text data into economic statistics: the case of online job vacancy postings /Arthur Turrell, Bradley Speigner, Jyldyz Djumalieva, David Copple, and James Thurgood ;Automating response evaluation for franchising questions on the 2017 economic census /Joseph Staudt, Yifang Wei, Lisa Singh, Shawn Klimek, J. Bradford Jensen, and Andrew Baer ;Using public data to generate industrial classification codes /John Cuffe, Sudip Bhattacharjee, Ugochukwu Etudo, Justin C. Smith, Nevada Basdeo, Nathaniel Burbank, and Shawn R. Roberts --Uses of big data for sectoral measurement.Nowcasting the local economy: using Yelp data to measure economic activity /Edward L. Glaeser, Hyunjin Kim, and Michael Luca ;Unit values for import and export price indexes: a proof of concept /Don A. Fast and Susan E. Fleck ;Quantifying productivity growth in the delivery of important episodes of care within the Medicare program using insurance claims and administrative data /John A. Romley, Abe Dunn, Dana Goldman, and Neeraj Sood ;Valuing housing services in the era of big data: a user cost approach leveraging Zillow microdata /Marina Gindelsky, Jeremy G. Moulton, and Scott A. Wentland --Methodological challenges and advances.Off to the races: a comparison of machine learning and alternative data for predicting economic indicators /Jeffrey C. Chen, Abe Dunn, Kyle Hood, Alexander Driessen, and Andrea Batch ;A machine learning analysis of seasonal and cyclical sales in weekly scanner data /Rishab Guha and Serena Ng ;Estimating the benefits of new products /W. Erwin Diewert and Robert C. Feenstra.
Utilizing existing data and new research methods, Keister examines househould wealth distribution from 1962 to 1995.
A rapidly growing area of economic research investigates the top of the income distribution using data from income tax records. This volume brings together studies of top incomes for twelve countries from around the world, including China, India, Japan, Argentina and Indonesia. Together with the first volume, published in 2007, the studies cover twenty two countries. They have a long time span, the earliest data relating to 1875 (for Norway), allowing recent developments to be placed in historical perspective. The volume describes in detail the source data and the methods employed. It will be an invaluable reference source for researchers in the field. Individual country chapters deal with the specific nature of the data for each of the countries, and describe the long-term evolution of top income shares. In the countries as a whole, dramatic changes have taken place at the top of the income distribution. Over the first part of the century, top income shares fell markedly. This largely took the form of a reduction in capital incomes. The different authors examine the impact of the First and Second World Wars, contrasting countries that were and were not engaged. They consider the impact of depressions and banking crises, and pay particular attention to the impact of progressive taxation. In the last 30 years, the shares of top incomes have increased markedly in the US and other Anglo-Saxon countries, reflecting the increased dispersion of earnings. The volume includes statistics on the much-discussed top pay and bonuses, providing a global perspective that discusses important differences between countries such as the lesser increase in Continental Europe. This book, together with volume 1, documents this interesting development and explores the underlying causes. The findings are brought together in a final summary chapter by Atkinson, Piketty and Saez.
This publication presents an internationally agreed set of guidelines for producing micro statistics on household wealth, It addresses the common conceptual, definitional and practical problems, and are meant to improve the comparability of country data.
This book is about development and measuring development progress. While precise definitions may vary, development is, at heart, a process of building wealth, the produced, natural, human, and institutional capital which is the source of income and wellbeing. Divided into 2 major parts, coverage includes a big picture of changes in wealth by income group and geographic region as well as case studies in wealth accounting and how it is being implemented in various countries.
An internationally known public speaker, entrepreneur, and marketing executive shares practical, up-to-date tips for mastering the skills of networking. Networking doesn’t have to be that frenzied old-school game of calendars packed with stuffy power lunches and sterile evenings at community business gatherings. We’ve entered a new era, one in which shifting cultural values and the explosion of digital technology enable us to network in vastly more efficient, more focused, and more enjoyable ways. A fresh take on How to Win Friends and Influence People, Your Network Is Your Net Worth is an entertaining, straightforward guide filled with revealing case studies, hands-on advice, and innovative strategies for building your network. Written by sought-after speaker, entrepreneur, and marketing executive Porter Gale, with a foreword by Apple evangelist and bestselling author Guy Kawasaki, this book shows you how to establish, expand, and nurture your connections both online and off. New ways to network are popping up every day—and Gale tells you how to make the most of them—but even traditional networking opportunities are not the same animals that they once were, and we need to shift our attitudes and approaches accordingly. Networking has evolved from a transactional game to a transformational process. Whereas once it was about power plays, now it’s about charting your own course, following your passions, and making meaningful connections, which in turn increase your happiness and productivity. In addition to chronicling her own rise from an ad agency intern to an in-demand consultant, Gale also shares the inspiring stories of so many others who live by this networking model: a military wife who connects with social media communities while her husband is deployed overseas, a young woman blog-ger battling leukemia, a dyslexic politician who wins elections by telling stories, and the CEO of a Major League Baseball team who once made a phone call that changed the course of his life. When you focus on your passions and reorganize your networking around your values and beliefs, you will discover the kind of lasting relationships, personal transformation, and, ultimately, tangible wealth that are the foundation for happiness and success. With a message both timely and important, Your Network Is Your Net Worth is the definitive handbook to Networking 2.0.
Explains the hows and whys of income distribution--why some are rich, some are poor, how income is measured, and the impact of goverment policies on jobs and personal wealth.