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Author: United States. Rehabilitation Services Administration. Division of Monitoring and Program Analysis. Statistical Analysis and Systems Branch
Publisher:
ISBN:
Category : Rehabilitation
Languages : en
Pages : 56
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Author: United States. Rehabilitation Services Administration. Division of Monitoring and Program Analysis. Statistical Analysis and Systems Branch
Publisher:
ISBN:
Category : Rehabilitation
Languages : en
Pages : 56
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Author:
Publisher:
ISBN:
Category : Aliens
Languages : en
Pages : 228
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Author: Joe Payne
Publisher: Simon and Schuster
ISBN: 1510764496
Category : Business & Economics
Languages : en
Pages : 191
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Book Description
From data security company Code42, Inside Jobs offers companies of all sizes a new way to secure today’s collaborative cultures—one that works without compromising sensitive company data or slowing business down. Authors Joe Payne, Jadee Hanson, and Mark Wojtasiak, seasoned veterans in the cybersecurity space, provide a top-down and bottom-up picture of the rewards and perils involved in running and securing organizations focused on rapid, iterative, and collaborative innovation. Modern day data security can no longer be accomplished by “Big Brother” forms of monitoring or traditional prevention solutions that rely solely on classification and blocking systems. These technologies frustrate employees, impede collaboration, and force productivity work-arounds that risk the very data you need to secure. They provide the illusion that your trade secrets, customer lists, patents, and other intellectual property are protected. That couldn’t be farther from the truth, as insider threats continue to grow. These include: Well-intentioned employees inadvertently sharing proprietary data Departing employees taking your trade secrets with them to the competition A high-risk employee moving source code to an unsanctioned cloud service What’s the solution? It’s not the hunt for hooded, malicious wrongdoers that you might expect. The new world of data security is built on security acting as an ally versus an adversary. It assumes positive intent, creates organizational transparency, establishes acceptable data use policies, increases security awareness, and provides ongoing training. Whether you are a CEO, CIO, CISO, CHRO, general counsel, or business leader, this book will help you understand the important role you have to play in securing the collaborative cultures of the future.
Author: Asli Demirguc-Kunt
Publisher: World Bank Publications
ISBN: 1464812683
Category : Business & Economics
Languages : en
Pages : 228
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Book Description
In 2011 the World Bank—with funding from the Bill and Melinda Gates Foundation—launched the Global Findex database, the world's most comprehensive data set on how adults save, borrow, make payments, and manage risk. Drawing on survey data collected in collaboration with Gallup, Inc., the Global Findex database covers more than 140 economies around the world. The initial survey round was followed by a second one in 2014 and by a third in 2017. Compiled using nationally representative surveys of more than 150,000 adults age 15 and above in over 140 economies, The Global Findex Database 2017: Measuring Financial Inclusion and the Fintech Revolution includes updated indicators on access to and use of formal and informal financial services. It has additional data on the use of financial technology (or fintech), including the use of mobile phones and the Internet to conduct financial transactions. The data reveal opportunities to expand access to financial services among people who do not have an account—the unbanked—as well as to promote greater use of digital financial services among those who do have an account. The Global Findex database has become a mainstay of global efforts to promote financial inclusion. In addition to being widely cited by scholars and development practitioners, Global Findex data are used to track progress toward the World Bank goal of Universal Financial Access by 2020 and the United Nations Sustainable Development Goals. The database, the full text of the report, and the underlying country-level data for all figures—along with the questionnaire, the survey methodology, and other relevant materials—are available at www.worldbank.org/globalfindex.
Author:
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Category : Drug abuse
Languages : en
Pages : 276
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Category : Traffic accidents
Languages : en
Pages : 114
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Author: Katharine G. Abraham
Publisher: University of Chicago Press
ISBN: 022680125X
Category : Business & Economics
Languages : en
Pages : 502
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Book Description
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.
Author: United States Sentencing Commission
Publisher:
ISBN:
Category : Criminal justice, Administration of
Languages : en
Pages : 556
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Author:
Publisher:
ISBN:
Category : Chronic renal failure
Languages : en
Pages : 656
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Author:
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ISBN:
Category : Government questionnaires
Languages : en
Pages : 0
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