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  • Planning Type: Institutional Effectiveness Planningx
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Blog Post

Published
August 9, 2023

6 Integrated Planning Strategies and Tips We Learned at SCUP 2023

By: SCUP

Every year at SCUP’s annual conference, over 1,000 of higher education’s leaders and innovators gather to share how they are advancing integrated planning at their college or university. Out of the wealth of tools, strategies, and tips shared at SCUP 2023, which took place earlier this month in Cleveland, here are six that stood out.

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Planning for Higher Education Journal

Published
March 24, 2023

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Transforming Data into Meaningful Information

Put Methodologies in Action with Data-Driven Integrated Planning

By: Douglas Masterson, PhD, Christopher M. Davis, PhD, and Suzanne Carbonaro, MEd

Leaders in two different accreditation regions share best practices and lessons learned from their integrated planning evolution and its impact on operational efficiency and student learning.

From Volume 51 Number 2 | January–March 2023

Abstract: Institutional success depends on long-term sustainability, connecting investments with outcomes, and creating a culture that is data-informed. As the role of institutional effectiveness expands across higher education, designing a comprehensive integrated planning process is critical. Integrated planning requires a unified approach to utilizing academic and administrative data for continuous improvement. However, this can be an overwhelming process for institutions, with many unsure of where to start. Learn from leaders in two different accreditation regions as they share best practices and lessons learned associated with their integrated planning evolution and its impact on operational efficiency and student learning.

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Planning for Higher Education Journal

Published
April 26, 2022

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The Future of Planning is . . .

. . . Aligned, Integrated, and Collaborative Institutional Effectiveness

By: Michael Ben-Avie, PhD; Kimberly K. Daugherty, PharmD; Lina Di Genova, PhD; Justin P. Hoshaw, MS; Erin M. Isaacson, MA; Nicholas R. Santilli, PhD; Megan Schramm-Possinger, PhD; and Robert Wilkinson, DEd

IE professionals are both translators and integrators—and universities need these people who know how to interpret the data. Within the context of an IIE office, they assist in developing data-informed strategic plans, financial forecasts, enrollment plans, and other assessments of institutional efficacy.

From Volume 50 Number 3 | April–June 2022

Abstract: The institutions that will thrive in the future will be those that use high-quality, relevant mission-driven data as part of their strategic, integrated planning process. Because of this it is imperative to create integrated institutional effectiveness (IIE) offices that serve as the connective tissue among all units within a college or university. The data and expertise of institutional effectiveness can be leveraged to benefit the institution as a whole. In this article, we discuss the value of creating an IIE office and challenges associated with a centralized infrastructure.

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Planning for Higher Education Journal

Published
November 15, 2021

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Book Review: Big Data on Campus

Data Analytics and Decision Making in Higher Education

By: Brooke L. Guelker, MA

From Volume 50 Number 1 | October–December 2021

Abstract: Edited by Karen L. Webber and Henry Y. Zheng
Johns Hopkins University Press: Baltimore: 2020
324 pages
ISBN: 978-1-4214-3903-7

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Blog Post

Published
October 15, 2021

Back to The Future

Institutional Research, Then and Now

By: Karen L. Webber, PhD

October 2021 marks Planning for Higher Education’s 50th issue! To celebrate, we’re looking back at earlier articles in Planning to reflect on how things change (and, sometimes, how they don’t). Although not a totally new concept, the need for data-informed decision-making in higher education today requires contemporary knowledge and skill from institutional research (IR) colleagues. They transform data into actionable information nuanced with contextualized insights that are essential in integrated academic planning.

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Conference Recordings

Published
July 16, 2021

2021 Annual Conference | July 2021

Actionable Data

Creating Unit-level Dashboards to Drive Institutional Performance

By: Nasrin Fatima, Binghamton University

This session will share how Binghamton University has established an integrated data collection and tracking process and the ways in which the pandemic has affected this process and shifted institutional priorities.
Abstract: Although many institutions have clear processes for collecting data at the institutional level, we often overlook unit-level data collection aligned with institutional metrics, resulting in hindered outcomes. In order to achieve institutional outcomes, we must collect actionable data on key performance indicators at different unit levels. This session will share how Binghamton University has established an integrated data collection and tracking process and the ways in which the pandemic has affected this process and shifted institutional priorities. Come learn from examples of departmental-, divisional-, and institutional-level dashboards and find out how to use them to inform planning and improve performance.

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Example Plans

Published
September 14, 2020

Supporting Document

Public Doctoral/Research University (California, United States)

This layperson-friendly document lists the institution’s publicly accessible dashboards, what data each provides, and sample questions that each can help answer.

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Planning for Higher Education Journal

Published
April 16, 2020

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Can You Trust Your Eyes?

Learn How to Minimize Misinterpretation of Data Reports and Visualizations

By: Karen L. Webber

Volumes of data are available to administrators to support decision-making. But that doesn’t mean that what’s been presented is accurate. When data are misused or misconstrued, senior leaders at higher education institutions may make the wrong conclusions, ineffective policies may be enacted, and students may not be successful in completing their academic goals.

From Volume 48 Number 2 | January–March 2020

Abstract: Data analytics related to student and institutional performance have evolved quite rapidly—and continue to advance—as the field of data science captures more attention across the higher education sector. And while data-informed decisions can help institutional leaders achieve their goals, there are increasing examples of analyses or visualizations that, when presented without the proper framework, result in misinterpretation and inaccurate conclusions. Context is critical, and erroneous deductions may lead to decisions that adversely affect student performance, program development, and policy changes.

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Conference Presentations

Published
March 27, 2019

2019 Pacific Regional Conference | March 2019

Using Data to Drive Peer Group Selection

By: Lyrae A. Williams

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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