Measuring the Networked Nonprofit

Using Data to Change the World

Author: Beth Kanter,Katie Delahaye Paine

Publisher: John Wiley & Sons

ISBN: 1118238818

Category: Business & Economics

Page: 336

View: 5435

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The tools nonprofits need to measure the impact of their socialmedia Having a social media measurement plan and approach can nolonger be an after-thought. It is a requirement of success. Asnonprofits refine their social media practice, their boards areexpecting reports showing results. As funders provide dollars tosupport programs that include social media, they too want to seeresults. This book offers the tools and strategies needed fornonprofits that need reliable and measurable data from their socialmedia efforts. Using these tools will not only improve anonprofit?s decision making process but will produce results-drivenmetrics for staff and stakeholders. A hands-on resource for nonprofit professionals who must beable to accurately measure the results of their social mediaventures Written by popular nonprofit blogger Beth Kanter andmeasurement expert Katie Delahaye Paine Filled with tools, strategies, and illustrative examples thatare highly accessible for nonprofit professionals This important resource will give savvy nonprofit professionalsthe information needed to produce measurable results for theirsocial media.
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Markets for Good Selected Readings: Making Sense of Data and Information in the Social Sector

Author: Markets for Good

Publisher: eBookIt.com

ISBN: 1456621149

Category: Literary Collections

Page: 82

View: 8091

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Markets for Good is an effort by the Bill & Melinda Gates Foundation, the William & Flora Hewlett Foundation, and the progressive financial firm Liquidnet to improve the system for generating, sharing, and acting upon data and information in the social sector. Our vision is of a social sector powered by information, where interventions are more effective and innovative, where capital flows efficiently to the organizations that are having the greatest impact, and where there is a dynamic culture of continuous learning and development. Over the past several years, Markets for Good has been a forum for discussion and collaboration among online giving platforms, nonprofit information providers, nonprofit evaluators, philanthropic advisors, and other entities working to improve the global philanthropic system and social sector. This effort has included over 50 people from more than 20 organizations. The website, MarketsforGood.org, and the work that we hope follows from it, is an outgrowth of what we have learned and observed through this collaboration. This retrospective collection of selected readings from our site includes an introduction by Jeff Raikes, CEO of the Bill & Melinda Gates Foundation, in which he highlights the "continuing wave of efforts that will push our sector to achieve even greater impact." Following Jeff's introduction, the Markets for Good Collaboration Team recaps the first 15 months of the campaign, and how they expect Markets for Good to evolve going forward. The subsequent 17 posts and authors' updates provide a range of perspectives on the most critical data-related challenges facing the social sector, and how these challenges can be addressed. Posts were chosen for their high readership, topic diversity, and thought leadership. The authors debate new and recurring hurdles in the social sector, like capacity and capital constraints; how qualitative data, including stories and beneficiary insights, can be incorporated into data-driven decision processes; and big-, medium-, and small-data management.
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Measuring and Improving Social Impacts

A Guide for Nonprofits, Companies, and Impact Investors

Author: Marc J. Epstein,Kristi Yuthas

Publisher: Berrett-Koehler Publishers

ISBN: 160994979X

Category: Business & Economics

Page: 264

View: 6096

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The world is beset with enormous problems. And as a nonprofit, NGO, foundation, impact investor, or socially responsible company, your organization is on a mission to solve them. But what exactly should you do? And how will you know whether it’s working? Too many people assume that good intentions will result in meaningful actions and leave it at that. But thanks to Marc Epstein and Kristi Yuthas, social impact can now be evaluated with the same kind of precision achieved for any other organizational function. Based on years of research and analysis of field studies from around the globe, Epstein and Yuthas offer a five-step process that will help you gain clarity about the impacts that matter most to you and will provide you with methods to measure and improve them. They outline a systematic approach to deciding what resources you should invest, what problem you should address, and which activities and organizations you should support. Once you’ve made those decisions, you can use their tools, frameworks, and metrics to define exactly what success looks like, even for goals like reducing global warming or poverty that are extremely difficult to measure. Then they show you how to use that data to further develop and increase your social impact. Epstein and Yuthas personally interviewed leaders at over sixty different organizations for this book and include examples from nearly a hundred more. This is unquestionably the most complete, practical, and thoroughly researched guide to taking a rigorous, data-driven approach to expanding the good you do in the world.
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Content Marketing for Nonprofits

A Communications Map for Engaging Your Community, Becoming a Favorite Cause, and Raising More Money

Author: Kivi Leroux Miller

Publisher: John Wiley & Sons

ISBN: 111872237X

Category: Business & Economics

Page: 432

View: 1511

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Nonprofits are communicating more often and in more ways thanever before . . .but is anyone paying attention? In her follow-up to The Nonprofit Marketing Guide: High-Impact,Low-Cost Ways to Build Support for Your Good Cause, Kivi LerouxMiller shows you how to design and implement a content marketingstrategy that will attract people to your cause, rather thanbegging for their attention or interrupting them with yourcommunications. Youll learn how to plan, create, share, and managerelevant and valuable content that inspires and motivates people tosupport your nonprofit in many different ways. Inside: Eye-opening look at how nonprofit marketing and fundraising ischanging, and the perils of not quickly adapting Up-to-date guidance on communicating in a fast-paced,multichannel world How to make big-picture strategic decisions about your content,followed by pragmatic and doable tactics on everything fromeditorial calendars to repurposing content Real-world examples from 100+ nonprofits of all sizes andmissions This book is your must-have guide to communicating so that youkeep the supporters you already have, attract new ones, andtogether, change the world for the better.
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Managing and Measuring Social Enterprises

Author: Rob Paton

Publisher: SAGE

ISBN: 1446233855

Category: Business & Economics

Page: 208

View: 6181

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`Its emphasis on performance measurement affords rare insights into some innovative techniques. Moreover, institutional and other theories are deployed to explore the reasons for innovation.... The book should be a prized resource for postgraduate students who seek a deeper understanding of social enterprise measurement and management practices. It covers extremely and topical issues, while the case studies offer a perspective on the complexities of real social enterprises' - Prometheus `Recent years have seen the voluntary and social enterprise sectors embark on a tentative love affair with performance measurement. We should, it seems, be measuring, monitoring and reporting our performance for a variety of reasons - accountability, continuous improvement and self-motivation, to name a few. But has anyone stopped to consider the realities if implementing the range of tools on the market? Author Rob Paton does just this' - Voluntary Sector Managing and Measuring Social Enterprises examines the question of what happens when performance improvement techniques originating in the private sector are applied to public and nonprofit organizations. Managing and Measuring Social Enterprises looks critically at a range of performance measurements and improvement methods, including: · Outcome measurement · Using financial ratios for performance comparison · Social audit · Process benchmarking · Externally accredited standards (like `Investors in People' and ISO 9000) · Diagnostic models and other tools from the quality movements · `Balanced scorecards' Rob Paton offers a measured critique of the naïve realism and rhetorical excesses of the performance management movement but also shows why many of its critics are unduly pessimistic. Through a combination of theory and research, the book provides practical guidance to the problem of performance management outside of the private sector. This is an essential text for those interested in public and social enterprises, particularly MBA and Masters students in public administration/public management and non-profit management.
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Reference Data for Engineers

Radio, Electronics, Computers and Communications

Author: Mac E. Van Valkenburg

Publisher: Newnes

ISBN: 9780750672917

Category: Technology & Engineering

Page: 1672

View: 1092

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Reference Data for Engineers is the most respected, reliable, and indispensable reference tool for technical professionals around the globe. Written by professionals for professionals, this book is a complete reference for engineers, covering a broad range of topics. It is the combined effort of 96 engineers, scientists, educators, and other recognized specialists in the fields of electronics, radio, computer, and communications technology. By providing an abundance of information on essential, need-to-know topics without heavy emphasis on complicated mathematics, Reference Data for Engineers is an absolute "must-have" for every engineer who requires comprehensive electrical, electronics, and communications data at his or her fingertips. Featured in the Ninth Edition is updated coverage on intellectual property and patents, probability and design, antennas, power electronics, rectifiers, power supplies, and properties of materials. Useful information on units, constants and conversion factors, active filter design, antennas, integrated circuits, surface acoustic wave design, and digital signal processing is also included. The Ninth Edition also offers new knowledge in the fields of satellite technology, space communication, microwave science, telecommunication, global positioning systems, frequency data, and radar. * Widely acclaimed as the most practical reference ever published for a wide range of electronics and computer professionals, from technicians through post-graduate engineers. * Provides a great way to learn or review the basics of various technologies, with a minimum of tables, equations, and other heavy math.
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Healthy Voices, Unhealthy Silence

Advocacy and Health Policy for the Poor

Author: Colleen M. Grogan

Publisher: Georgetown University Press

ISBN: 9781589013391

Category: Medical

Page: 170

View: 4621

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Public silence in policymaking can be deafening. When advocates for a disadvantaged group decline to speak up, not only are their concerns not recorded or acted upon, but also the collective strength of the unspoken argument is lessened—a situation that undermines the workings of deliberative democracy by reflecting only the concerns of more powerful interests. But why do so many advocates remain silent on key issues they care about and how does that silence contribute to narrowly defined policies? What can individuals and organizations do to amplify their privately expressed concerns for policy change? In Healthy Voices, Unhealthy Silence, Colleen M. Grogan and Michael K. Gusmano address these questions through the lens of state-level health care advocacy for the poor. They examine how representatives for the poor participate in an advisory board process by tying together existing studies; extensive interviews with key players; and an in-depth, first-hand look at the Connecticut Medicaid advisory board's deliberations during the managed care debate. Drawing on the concepts of deliberative democracy, agenda setting, and nonprofit advocacy, Grogan and Gusmano reveal the reasons behind advocates' often unexpected silence on major issues, assess how capable nonprofits are at affecting policy debates, and provide prescriptive advice for creating a participatory process that adequately addresses the health care concerns of the poor and dispossessed. Though exploring specifically state-level health care advocacy for the poor, the lessons Grogan and Gusmano offer here are transferable across issue areas and levels of government. Public policy scholars, advocacy organizations, government workers, and students of government administration will be well-served by this significant study.
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Modeling Techniques in Predictive Analytics with Python and R

A Guide to Data Science

Author: Thomas W. Miller

Publisher: FT Press

ISBN: 013389214X

Category: Computers

Page: 448

View: 9287

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Master predictive analytics, from start to finish Start with strategy and management Master methods and build models Transform your models into highly-effective code—in both Python and R This one-of-a-kind book will help you use predictive analytics, Python, and R to solve real business problems and drive real competitive advantage. You’ll master predictive analytics through realistic case studies, intuitive data visualizations, and up-to-date code for both Python and R—not complex math. Step by step, you’ll walk through defining problems, identifying data, crafting and optimizing models, writing effective Python and R code, interpreting results, and more. Each chapter focuses on one of today’s key applications for predictive analytics, delivering skills and knowledge to put models to work—and maximize their value. Thomas W. Miller, leader of Northwestern University’s pioneering program in predictive analytics, addresses everything you need to succeed: strategy and management, methods and models, and technology and code. If you’re new to predictive analytics, you’ll gain a strong foundation for achieving accurate, actionable results. If you’re already working in the field, you’ll master powerful new skills. If you’re familiar with either Python or R, you’ll discover how these languages complement each other, enabling you to do even more. All data sets, extensive Python and R code, and additional examples available for download at http://www.ftpress.com/miller/ Python and R offer immense power in predictive analytics, data science, and big data. This book will help you leverage that power to solve real business problems, and drive real competitive advantage. Thomas W. Miller’s unique balanced approach combines business context and quantitative tools, illuminating each technique with carefully explained code for the latest versions of Python and R. If you’re new to predictive analytics, Miller gives you a strong foundation for achieving accurate, actionable results. If you’re already a modeler, programmer, or manager, you’ll learn crucial skills you don’t already have. Using Python and R, Miller addresses multiple business challenges, including segmentation, brand positioning, product choice modeling, pricing research, finance, sports, text analytics, sentiment analysis, and social network analysis. He illuminates the use of cross-sectional data, time series, spatial, and spatio-temporal data. You’ll learn why each problem matters, what data are relevant, and how to explore the data you’ve identified. Miller guides you through conceptually modeling each data set with words and figures; and then modeling it again with realistic code that delivers actionable insights. You’ll walk through model construction, explanatory variable subset selection, and validation, mastering best practices for improving out-of-sample predictive performance. Miller employs data visualization and statistical graphics to help you explore data, present models, and evaluate performance. Appendices include five complete case studies, and a detailed primer on modern data science methods. Use Python and R to gain powerful, actionable, profitable insights about: Advertising and promotion Consumer preference and choice Market baskets and related purchases Economic forecasting Operations management Unstructured text and language Customer sentiment Brand and price Sports team performance And much more
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Modeling Techniques in Predictive Analytics

Business Problems and Solutions with R, Revised and Expanded Edition

Author: Thomas W. Miller

Publisher: FT Press

ISBN: 0133886190

Category: Computers

Page: 384

View: 3024

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To succeed with predictive analytics, you must understand it on three levels: Strategy and management Methods and models Technology and code This up-to-the-minute reference thoroughly covers all three categories. Now fully updated, this uniquely accessible book will help you use predictive analytics to solve real business problems and drive real competitive advantage. If you’re new to the discipline, it will give you the strong foundation you need to get accurate, actionable results. If you’re already a modeler, programmer, or manager, it will teach you crucial skills you don’t yet have. Unlike competitive books, this guide illuminates the discipline through realistic vignettes and intuitive data visualizations–not complex math. Thomas W. Miller, leader of Northwestern University’s pioneering program in predictive analytics, guides you through defining problems, identifying data, crafting and optimizing models, writing effective R code, interpreting results, and more. Every chapter focuses on one of today’s key applications for predictive analytics, delivering skills and knowledge to put models to work–and maximize their value. Reflecting extensive student and instructor feedback, this edition adds five classroom-tested case studies, updates all code for new versions of R, explains code behavior more clearly and completely, and covers modern data science methods even more effectively. All data sets, extensive R code, and additional examples available for download at http://www.ftpress.com/miller If you want to make the most of predictive analytics, data science, and big data, this is the book for you. Thomas W. Miller’s unique balanced approach combines business context and quantitative tools, appealing to managers, analysts, programmers, and students alike. Miller addresses multiple business cases and challenges, including segmentation, brand positioning, product choice modeling, pricing research, finance, sports, text analytics, sentiment analysis, and social network analysis. He illuminates the use of cross-sectional data, time series, spatial, and spatio-temporal data. You’ll learn why each problem matters, what data are relevant, and how to explore the data you’ve identified. Miller guides you through conceptually modeling each data set with words and figures; and then modeling it again with realistic R programs that deliver actionable insights. You’ll walk through model construction, explanatory variable subset selection, and validation, mastering best practices for improving out-of-sample predictive performance. Throughout, Miller employs data visualization and statistical graphics to help you explore data, present models, and evaluate performance. This edition adds five new case studies, updates all code for the newest versions of R, adds more commenting to clarify how the code works, and offers a more detailed and up-to-date primer on data science methods. Gain powerful, actionable, profitable insights about: Advertising and promotion Consumer preference and choice Market baskets and related purchases Economic forecasting Operations management Unstructured text and language Customer sentiment Brand and price Sports team performance And much more
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