About CASE

Pam Russell
Director of Communications


For Immediate Release
July 6, 2009

CASE, SPSS Name Recipient of Data Mining Internship

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.

About CASE

CASE believes in advancing education to transform lives and society. As a global nonprofit membership association of educational institutions, CASE helps develop the communities of professional practice that build institutional resilience and success in challenging times. The communities include staff engaged in alumni relations, fundraising, marketing, student recruitment, stakeholder engagement, crisis communications and government relations. CASE is volunteer-led and uses the intellectual capital of senior practitioners to build capacity and capability across the world.

CASE has offices in Washington, D.C., London, Singapore and Mexico City. Member institutions include more than 3,700 colleges and universities, primary and secondary independent and international schools, and nonprofit organizations in 82 countries. CASE serves nearly 88,000 practitioners. For more information about CASE, please visit www.case.org.

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.