This poster session will share our assessment of data visualization tools like RapidMiner, ManyEyes, DabbleDB, Microsoft Excel, Microsoft Access, and Google to determine the most practical and feasible way for a small academic library to analyze our collection and demonstrate the value of library collections. Librarians at Marymount University in Arlington, VA are exploring ways to use data visualization for collection analysis on a shoestring and without a programmer. With a large cut to our budget at a University moving to zero-based budgeting, we needed to be able to demonstrate the value of library collections, identify collection strengths and weaknesses, and allocate funds to support the most critical areas of the curriculum. We are collecting patron borrowing data from our ILS, electronic resource usage data, and pairing it with program information . Attendees can expect to learn about free and inexpensive ways to use data visualization tools for collection analysis and to show the University community the value of library collections.