| Author | : Ashutosh R Nandeshwar |
| Publisher | : Data Insight Partners LLC |
| Total Pages | : 568 |
| Release | : 2018-02-14 |
| Genre | : Business & Economics |
| ISBN | : 9780692057841 |
Although the non-profit industry has advanced using CRMs and donor databases, it has not fully explored the data stored in those databases. Data Science for Fundraising will help you generate data-driven results and effective solutions for several challenges in your non-profit. Discover the techniques used by the top R programmers.
| Author | : Joshua M. Birkholz |
| Publisher | : John Wiley & Sons |
| Total Pages | : 243 |
| Release | : 2020-09-01 |
| Genre | : Business & Economics |
| ISBN | : 111978235X |
Fundraising Analytics: Using Data to Guide Strategy Fundraising Analytics shows you how to turn your nonprofit's organizational data—with an appropriate focus on donors—into actionable knowledge. The result—A vibrant, donor-centered nonprofit organization that makes maximum use of data to reveal the unique diversity of its donors. It provides step-by-step instructions for understanding your constituents, developing metrics to gauge and guide your success, and much more.
| Author | : Tommy Blanchard |
| Publisher | : Packt Publishing Ltd |
| Total Pages | : 420 |
| Release | : 2019-03-30 |
| Genre | : Computers |
| ISBN | : 1789952107 |
Explore new and more sophisticated tools that reduce your marketing analytics efforts and give you precise results Key FeaturesStudy new techniques for marketing analyticsExplore uses of machine learning to power your marketing analysesWork through each stage of data analytics with the help of multiple examples and exercisesBook Description Data Science for Marketing Analytics covers every stage of data analytics, from working with a raw dataset to segmenting a population and modeling different parts of the population based on the segments. The book starts by teaching you how to use Python libraries, such as pandas and Matplotlib, to read data from Python, manipulate it, and create plots, using both categorical and continuous variables. Then, you'll learn how to segment a population into groups and use different clustering techniques to evaluate customer segmentation. As you make your way through the chapters, you'll explore ways to evaluate and select the best segmentation approach, and go on to create a linear regression model on customer value data to predict lifetime value. In the concluding chapters, you'll gain an understanding of regression techniques and tools for evaluating regression models, and explore ways to predict customer choice using classification algorithms. Finally, you'll apply these techniques to create a churn model for modeling customer product choices. By the end of this book, you will be able to build your own marketing reporting and interactive dashboard solutions. What you will learnAnalyze and visualize data in Python using pandas and MatplotlibStudy clustering techniques, such as hierarchical and k-means clusteringCreate customer segments based on manipulated data Predict customer lifetime value using linear regressionUse classification algorithms to understand customer choiceOptimize classification algorithms to extract maximal informationWho this book is for Data Science for Marketing Analytics is designed for developers and marketing analysts looking to use new, more sophisticated tools in their marketing analytics efforts. It'll help if you have prior experience of coding in Python and knowledge of high school level mathematics. Some experience with databases, Excel, statistics, or Tableau is useful but not necessary.
| Author | : Steve MacLaughlin |
| Publisher | : |
| Total Pages | : 256 |
| Release | : 2016-08-03 |
| Genre | : Big data |
| ISBN | : 9780988850712 |
"Data driven nonprofits is a guide book for nonprofit organizations that want to improve their performance and increase positive change in the world. Learn from industry leaders and nonprofit professionals that have unlocked the keys to becoming more data driven"--Back cover.
| Author | : Hadley Wickham |
| Publisher | : "O'Reilly Media, Inc." |
| Total Pages | : 521 |
| Release | : 2016-12-12 |
| Genre | : Computers |
| ISBN | : 1491910364 |
Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results
| Author | : Susan A Vowels |
| Publisher | : CRC Press |
| Total Pages | : 202 |
| Release | : 2019-06-17 |
| Genre | : Computers |
| ISBN | : 1351721453 |
The need for analytics skills is a source of the burgeoning growth in the number of analytics and decision science programs in higher education developed to feed the need for capable employees in this area. The very size and continuing growth of this need means that there is still space for new program development. Schools wishing to pursue business analytics programs intentionally assess the maturity level of their programs and take steps to close the gap. Teaching Data Analytics: Pedagogy and Program Design is a reference for faculty and administrators seeking direction about adding or enhancing analytics offerings at their institutions. It provides guidance by examining best practices from the perspectives of faculty and practitioners. By emphasizing the connection of data analytics to organizational success, it reviews the position of analytics and decision science programs in higher education, and to review the critical connection between this area of study and career opportunities. The book features: A variety of perspectives ranging from the scholarly theoretical to the practitioner applied An in-depth look into a wide breadth of skills from closely technology-focused to robustly soft human connection skills Resources for existing faculty to acquire and maintain additional analytics-relevant skills that can enrich their current course offerings. Acknowledging the dichotomy between data analytics and data science, this book emphasizes data analytics rather than data science, although the book does touch upon the data science realm. Starting with industry perspectives, the book covers the applied world of data analytics, covering necessary skills and applications, as well as developing compelling visualizations. It then dives into pedagogical and program design approaches in data analytics education and concludes with ideas for program design tactics. This reference is a launching point for discussions about how to connect industry’s need for skilled data analysts to higher education’s need to design a rigorous curriculum that promotes student critical thinking, communication, and ethical skills. It also provides insight into adding new elements to existing data analytics courses and for taking the next step in adding data analytics offerings, whether it be incorporating additional analytics assignments into existing courses, offering one course designed for undergraduates, or an integrated program designed for graduate students.
| Author | : Eugene R. Tempel |
| Publisher | : John Wiley & Sons |
| Total Pages | : 610 |
| Release | : 2016-01-19 |
| Genre | : Business & Economics |
| ISBN | : 1118853822 |
Achieving Excellence in Fundraising is the go-to reference for fundraising principles, concepts, and techniques. With comprehensive guidance toward the fundraising role, this book reflects the latest advances in fundraising knowledge. Coverage includes evolving technologies, the importance of high net worth donors, global fundraising perspectives, results analysis and performance evaluation, accountability, and credentialing, with contributions from noted experts in the field. You'll gain essential insight into the practice of fundraising and the fundraising cycle, reinforced by ancillary discussion questions, case studies, and additional readings. With contributions from members of The Fund Raising School and the faculty of Indiana University's Lilly Family School of Philanthropy, this new edition includes detailed guidance on nonprofit accounting practices as defined by the Financial Accounting Standards Board and the American Institute of Certified Public Accountants, rounding out the complete, thorough coverage of the fundraising profession. Designed to provide both theory and practical knowledge, this book is an all-in-one resource for anyone who performs fundraising duties. Understand donor dynamics and craft an institutional development plan Explore essential marketing and solicitation techniques Learn effective volunteer recruitment, retention, and management strategies Fundraising merges a variety of fields including psychology, business management, accounting, and marketing, making it a unique role that requires a uniquely well rounded yet focused skillset. Amidst economic uncertainty and a widening wealth gap the world over, it's more important than ever for fundraisers to have a firm grasp on the tools at their disposal. Achieving Excellence in Fundraising is the ultimate guide to succeeding in this critical role.
| Author | : Bruce Ratner |
| Publisher | : CRC Press |
| Total Pages | : 690 |
| Release | : 2017-07-12 |
| Genre | : Computers |
| ISBN | : 149879761X |
Interest in predictive analytics of big data has grown exponentially in the four years since the publication of Statistical and Machine-Learning Data Mining: Techniques for Better Predictive Modeling and Analysis of Big Data, Second Edition. In the third edition of this bestseller, the author has completely revised, reorganized, and repositioned the original chapters and produced 13 new chapters of creative and useful machine-learning data mining techniques. In sum, the 43 chapters of simple yet insightful quantitative techniques make this book unique in the field of data mining literature. What is new in the Third Edition: The current chapters have been completely rewritten. The core content has been extended with strategies and methods for problems drawn from the top predictive analytics conference and statistical modeling workshops. Adds thirteen new chapters including coverage of data science and its rise, market share estimation, share of wallet modeling without survey data, latent market segmentation, statistical regression modeling that deals with incomplete data, decile analysis assessment in terms of the predictive power of the data, and a user-friendly version of text mining, not requiring an advanced background in natural language processing (NLP). Includes SAS subroutines which can be easily converted to other languages. As in the previous edition, this book offers detailed background, discussion, and illustration of specific methods for solving the most commonly experienced problems in predictive modeling and analysis of big data. The author addresses each methodology and assigns its application to a specific type of problem. To better ground readers, the book provides an in-depth discussion of the basic methodologies of predictive modeling and analysis. While this type of overview has been attempted before, this approach offers a truly nitty-gritty, step-by-step method that both tyros and experts in the field can enjoy playing with.
| Author | : Adrian Sargeant |
| Publisher | : John Wiley & Sons |
| Total Pages | : 757 |
| Release | : 2017-03-06 |
| Genre | : Business & Economics |
| ISBN | : 1119196493 |
The complete guide to fundraising planning, tools, methods, and more Fundraising Principles and Practice provides a unique resource for students and professionals seeking to deepen their understanding of fundraising in the current nonprofit environment. Based on emerging research drawn from economics, psychology, social psychology, and sociology, this book provides comprehensive analysis of the nonprofit sector. The discussion delves into donor behavior, decision making, social influences, and models, then uses that context to describe today's fundraising methods, tools, and practices. A robust planning framework helps you set objectives, formulate strategies, create a budget, schedule, and monitor activities, with in-depth guidance toward assessing and fine-tuning your approach. Coverage includes online fundraising, major gifts, planned giving, direct response, grants, corporate fundraising, and donor retention, with an integrated pedagogical approach that facilitates active learning. Case studies and examples illustrate the theory and principles presented, and the companion website offers additional opportunity to deepen your learning and assess your knowledge. Fundraising has become a career specialty, and those who are successful at it are among the most in-demand in the nonprofit world. Great fundraisers make an organization's mission possible, and this book covers the essential information you need to help your organization succeed. Adopt an organized approach to fundraising planning Learn the common behaviors and motivations of donors Master the tools and practices of nonprofit fundraising Manage volunteers, monitor progress, evaluate events, and more Fundraising is the the nonprofit's powerhouse. It's the critical component that supports and maintains all activities, and forms the foundation of the organization itself. Steady management, clear organization, effective methods, and the most up-to-date tools are vital to the role, and familiarity with donor psychology is essential for using these tools to their utmost capability. Fundraising Principles and Practice provides a comprehensive guide to all aspects of the field, with in-depth coverage of today's most effective approaches.
