Intermediate
Using Data for Metrics, Measurement: Promoting the Value of Research
Josh Birkholz, Bentz Whaley Flessner
The analysis of data within a prospect management system can be used to evaluate fundraising effectiveness, assist with strategic planning and inform management decision making. This Webcast examines what data is important to monitor, how to establish benchmarks and how to set up progress reporting and analysis. Order now >>
Thinking about Data Modeling? Five Key Questions to Consider Before Starting
Josh Birkholz, Bentz Whaley Flessner
An increasing number of development programs are building internal analytics capacity for prospect identification, direct marketing segmentation and program analysis. With the increasing demands of prospect development programs, when does it make sense to add this capability to your organization? Consider five key questions you need to answer before starting an analytics effort of your own. Order now >>
Right-Minded Reporting: Make It Meaningful Using Data Visualization
Amanda Jarman, Portland State University
NEW RELEASE Engage both halves of the brain through data visualization. Learn creative methods and tools for presenting data so that it is easy to understand and pitfalls to avoid. Presentation includes examples of excellent data visualization including charts, cross-tabs, sparklines, geographic mapping and relationship mapping. Order now >>
Data Analytics Symposium
July 21–22, 2010
Fundraising analytics professionals know the importance of data when it comes to identify new and changing prospects. With the increasing pressure to do more with less, data analytics provides the key to unlocking new and innovative ways to approach fundraising with minimal investment. The APRA Symposium on Data Analytics is the only event dedicated to data analytics — the perfect opportunity to join fellow colleagues for networking and collaborative learning. Learn more about the Data Analytics Symposium >>
302: Zen and the HeART of Data Mining
Friday, July 23
David E. Robertson, Jr., Syracuse University
The world is not perfect, and neither is our data. When analyzing data, it is critical to acknowledge error and discover the tools that highlight those levels of correlations interacting among the variables. The first step in data mining and predictive modeling is doing everything possible to create models that minimize this error. This session will use Microsoft Excel as analytical engine — a powerful tool available to all. Learn more about Conference sessions >>
312: Data Modeling: Art or Science?
Friday, July 23
Natalie Spring, Duke University
Marnie Steeves, Duke University
Gift officers develop an experiential knowledge-base of your donor pool. Often referred to as a “gut feeling,” their experience can provide the theoretical underpinning needed to build powerful donor behavior models. Learn how to quantify “gut feelings” in order to build powerful custom models of your donor pool. Using the inclination rating development process at Duke University as a guide, understand how to combine the art and science of fundraising into tangible result-based products. Learn more about Conference sessions >>