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Blog Post

Published
September 6, 2019

Higher Ed’s Missing Link: Turning Your Big Data Into Institutional Change

Most think there’s a tension between access and excellence—you have to choose one of the two. Not so, according to two planners from University of Texas El Paso (UTEP). Read this short recap from their presentation at the SCUP 2019 Annual Conference.

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Conference Presentations

Published
July 14, 2019

2019 Annual Conference | July 2019

Improving the Student Experience Through Interdepartmental Planning and Collaboration

Abstract: Working across boundaries is essential for student success, but also incredibly difficult to do. This session looks at the collaboration between enrollment management and departmental faculty—specifically the planning, monitoring, and communication of student progress in an online doctoral program. You will learn techniques to improve communication between departments that historically work independent of each other, along with opportunities for future interdepartmental partnerships that improve student success.

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Conference Presentations

Published
March 27, 2019

2019 Pacific Regional Conference | March 2019

Using Data to Drive Peer Group Selection

You will learn an approach for developing a data-informed peer group and how benchmarking with a peer group can inform your institution's governing board and be linked to mission.
Abstract: Institutional data trends over time is important to show progress or areas of concern. It can be equally important to compare oneself to like institutions. Have you ever thought about how a peer group gets determined? If you have a peer group, have you ever wanted to evaluate the group using data? You will learn an approach for developing a data-informed peer group and how benchmarking with a peer group can inform your institution's governing board and be linked to mission.

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Conference Presentations

Published
March 20, 2019

2019 Mid-Atlantic Regional Conference | March 2019

Innovative Data Tools That Support Capital and Facilities Planning

In this session, we will discuss data strategies for capital and facilities planning that enable real-time mobile access to planning tools, automated project tracking, metrics, and building transparency in order to support the planning and execution process.
Abstract: Innovative leaders must promote and cultivate a data culture that informs decision making across an institution. In this session, we will discuss data strategies for capital and facilities planning that enable real-time mobile access to planning tools, automated project tracking, metrics, and building transparency in order to support the planning and execution process. Come learn about agile development of available open source tools that enable cost-effective data strategies, including automated processes, and the development and implementation of planning and execution tools.

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Conference Presentations

Published
July 14, 2018

2018 Annual Conference | July 2018

Breaking Down Silos, Building Up Enrollment

We will present the strategic and collaborative methods to our success and share how Stockton’s Chief Planning Office played an important role in breaking down common silos that impeded efforts to collaborate, innovate, and succeed.
Abstract: Stockton University grew its 2017 freshman class by 32 percent (375 students) by implementing a systems approach to enrollment management. We will present the strategic and collaborative methods to our success and share how Stockton’s Chief Planning Office played an important role in breaking down common silos that impeded efforts to collaborate, innovate, and succeed. We will discuss the statistical tools, operational improvements, and leadership techniques put in place to support Stockton’s growth, including new weekly reports and cross-divisional planning efforts.

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Planning for Higher Education Journal

Published
October 1, 2007

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Traffic Congestion on a University Campus

A Consideration of Unconventional Remedies to Nontraditional Transportation Patterns

Universities are in a special position to take information related to the patterns and causes of congestion and apply it to their planning goals. In particular, they can work effectively to reduce demand.

From Volume 36 Number 1 | October–December 2007

Abstract: U.S. transportation data suggest that the number of vehicle miles traveled has far surpassed new capacity, resulting in increased traffic congestion in many communities throughout the country. This article reports on traffic congestion around a university campus located within a small town. The mix of trip purposes varies considerably in this context, with the majority of trips related to student movement to and from classes. The university itself becomes a major traffic generator, but in a complex way. This article describes how congestion in a university setting differs from that in a nonuniversity setting; what components drive this congestion; how best to reduce this congestion while adhering to overall university planning objectives; and how to set a foundation for traffic management strategies that provide environmental, social, and economic benefit to the university and, importantly, to the surrounding community. The information presented here applies beyond the campus setting to any community that contains nontraditional traffic generators and shows why context does matter when analyzing and managing traffic.

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Planning for Higher Education Journal

Published
April 1, 2006

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Visualization of Academic Efficiency and Productivity

The author describes a method to display a variety of quantitative information in a compact, easy-to-understand way, providing an analytical tool useful in analyzing and comparing the relative strengths and weaknesses of an academic unit over time or in comparison with others.

From Volume 34 Number 3 | April–June 2006

Abstract: A simple and readily understandable visual display of quantitative measures of academic efficiency and productivity is demonstrated in this article. This graphical construction facilitates annual comparisons of unit efficiency and productivity as well as an analysis of temporal changes in unit activity. By establishing a common framework upon which a data-driven conversation regarding unit activity is constructed, this method produces a single graphical representation of the activities of any academic unit. As such, this technique assists academic decision makers with goal setting, resource allocation and reallocation, and the program prioritization process.

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