Director of Communications
For Immediate Release
July 6, 2009
Project to drive awareness of data mining, help improve educational fundraising results
WASHINGTON, D.C.- Lori Thompson, a Ph.D. student at North Dakota State University in Fargo, has been selected as the second CASE/Peter B. Wylie/SPSS Data Mining Intern at the Council for Advancement and Support of Education.
This internship is for professionals interested in following a career path focused on data mining and predictive modeling in higher education and independent school advancement. It is named after SPSS Inc., a global provider of Predictive Analytics software and solutions, and Peter B. Wylie, a national expert and leading author in the field of data mining. Wylie's books include Baseball, Fundraising, and the 80/20 Rule: Studies in Data Mining and Data Mining for Fund Raisers.
Thompson will begin her two-month summer internship at CASE headquarters in Washington, D.C., in July.
"This internship will provide Lori with the resources to work on a data mining and predictive modeling project that will drive awareness and use of data mining in institutional advancement and fundraising," says Rae Goldsmith, CASE's vice president of advancement resources. "We are pleased that Lori's work will contribute to new knowledge in the field."
SPSS Inc. has also contributed financially to the internship and is donating use of its data mining software, PASW Modeler (formerly known as Clementine), which allows organizations to better understand and predict future prospect behavior by analyzing, modeling and scoring demographic and transactional data from operational systems as well as attitudinal data gathered through constituent feedback and surveys.
"SPSS software gives organizations across all industries an unprecedented level of insight and prediction from their data to better solve a wide array of challenging business problems, including campaign effectiveness," says Alex Kormushoff, senior vice president of Worldwide Field Operations at SPSS. "We are excited to partner with CASE and Peter B. Wylie to make this internship a reality, and we look forward to our continued work in enabling the academic community to improve fundraising efforts to achieve its goals."
Adds Goldsmith: "CASE is committed to driving the use of data-driven decision-making in advancement. This internship and the partnership behind it will bring more visibility to data mining and how it can contribute to successful advancement programs."
About data mining
Data mining is the statistical practice of interrogating very large data sets for underlying patterns that can then be used for decision-making and to make predictions of outcomes. It often makes use of exploratory data analysis, pattern recognition, and visual model-building tools rather than relying solely on traditional inferential techniques. With the power of modern computing to manipulate very large data sets, data mining is now frequently used in business intelligence, financial analysis, enterprise resource planning, customer relationship management, market basket analysis, DNA analysis and terrorism information awareness.
The Council for Advancement and Support of Education is a professional association serving educational institutions and the advancement professionals who work on their behalf in alumni relations, communications, development, marketing and allied areas.
CASE was founded in 1974 and maintains headquarters in Washington, D.C., with offices in London (CASE Europe, 1994), Singapore (CASE Asia-Pacific, 2007) and Mexico City (CASE América Latina, 2011).
Today, CASE’s membership includes more than 3,600 colleges and universities, primary and secondary independent and international schools, and nonprofit organizations in 82 countries around the globe. This makes CASE one of the world’s largest nonprofit educational associations in terms of institutional membership. CASE serves more than 74,000 advancement professionals on the staffs of its member institutions and has more than 17,000 professional members on its roster.
To fulfill their missions and to meet both individual and societal needs, colleges, universities and independent schools rely on—and therefore must foster—the good will, active involvement, informed advocacy and enduring support of alumni, donors, prospective students, parents, government officials, community leaders, corporate executives, foundation officers and other external constituencies.
CASE helps its members build stronger relationships with all of these constituencies by providing relevant research, supporting growth in the profession and fostering support of education. CASE also offers a variety of advancement products and services, provides standards and an ethical framework for the profession and works with other organizations to respond to public issues of concern while promoting the importance of education worldwide.
About SPSS Inc.
SPSS's Predictive Analytics technology improves business processes by giving organizations forward visibility for decisions made every day. By incorporating predictive analytics into their daily operations, organizations become Predictive Enterprises-able to direct and automate decisions to meet business goals and achieve a measurable competitive advantage. More than 250,000 public sector, academic and commercial customers rely on SPSS technology to help increase their revenue, reduce costs and detect and prevent fraud. Founded in 1968, SPSS is headquartered in Chicago, Ill.
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