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Institutions of higher education, especially private universities and colleges, can be notoriously opaque when it comes to data about who their students are, what they do while on campus, and where they go when they leave. In reality, much of this has to do with the “siloed” nature of college and university organizational structures, decision-making processes, and data collection, analysis and reporting efforts. However, there is an unprecedented demand in higher education for integrating data into our understanding of who we are, who we are educating and what impact the education we provide has on our students and alumni.
This presentation will briefly cover some of the strategic reasons for why Stanford uses Tableau in a variety university venues to better integrate data into the decision-making processes of administrators, faculty, staff and students. We will then look at specific examples of particularly effective data visualization efforts by Stanford institutional researchers to analyze and communicate data and findings across a number of common areas in the assessment and evaluation of higher education: course-taking patterns, student surveys, and alumni employment outcomes. We will then wrap up with by highlighting specific challenges we have faced at Stanford in the deployment of Tableau as a key tool for institutional research, with plenty of time for questions and discussion.
Change is difficult - especially when it comes to shifting from traditional text-based reports and data tables to visual analytics. Knowing this, the UNLV Library eased into Tableau by providing staff with a chance to experience Tableau in a supportive learning environment. Within a span of one year, the UNLV Library went from two Desktop Tableau users to 25 Server licenses.
Join us in this session to learn how the UNLV Library overcame doubts, went from mild interest to genuine enthusiasm, and how they strategically developed and implemented a Server deployment plan. Also learn about their next steps as the UNLV Library plans to use Tableau to continue to improve their organization and share their success with academic libraries across the nation.
Whether you are swimming up-stream or carrying out marching orders, finding a way to develop your institution’s analytics maturity is increasingly important for higher education. We’ll show you examples of how two very different institutions developed successful Tableau analytics cultures. Calvin College, a top-ranked liberal arts institution of 4,000 students with an executive-driven analytics approach; and Thompson River University (TRU), a Canadian university with 24,000 students (12,000 of which study via distance) that took a “bottom-up” approach to developing analytics. You’ll learn how we’ve implemented Tableau and how we use it to navigate areas such as gaining buy-in, culture shifts, organizational models for analyst teams, working with IR and IT, data architecture, better decision making, and more.
Within the last decade, the UK Higher Education sector moved from essentially stable government funding to reliance on student fee income. In this new context, success depends on balancing demands of securing financial sustainability in a volatile student recruitment market with ensuring increasing levels of teaching and research quality. In this session, we’ll discuss the journey towards embracing data as part of this new world, challenges faced in making data robust but approachable, and challenges creating a new data-focused environment with only two Tableau desktop licenses. We’ll also share the development of a planning dashboard created to promote awareness and understanding of the University’s position across a series of key performance indicators, constructive prioritization of improvements needed within teaching and research, good practices, and evidence-based decision making.
The California State University (CSU) system (comprised of 23 campuses) received over 914,000 applications for fall 2015, yet enrolled only about 16% of applicants. With over 300 higher education institutions in California, enrollment management offices have the big task of recruiting, admitting, and enrolling qualified students.
You will learn about how two CSU Institutional Research Offices joined forces to improve their enrollment management reports. We will demonstrate how we went from a static PDF report, to a dynamic Tableau workbook, to Tableau Server. We will show our unpolished data visualizations and final reports created for enrollment management.
Are you an educator teaching Tableau in the classroom? This informal gathering is a chance for you to connect with fellow educators and hear how other people are teaching Tableau. During the meetup, you’ll have time for general networking and to share your stories and successes in using Tableau in the classroom. Meetup seating is filled on a first come, first seated basis; space is limited.
Although Stanford occupies a central place in Silicon Valley, we have struggled to flexibly integrate data about the university itself into our understanding of who we are, who we are educating, and what impact a Stanford education has on our students and alumni, like many universities. In this session, we’ll share some of the emerging Tableau data vizzes and dashboards Stanford institutional researchers are using to incorporate agile, self-service analytics into assessing the university and conveying our findings to campus leaders. We’ll take a look at why we chose to adopt and deploy Tableau server, how visualizations are more than pretty pictures and can effectively influence campus decisions, and what key speed bumps and roadblocks we’ve encountered along the way.
The Art Institute of Chicago, one of the world’s pre-eminent museums, has undergone a transformation in applying data for decision-making. Central to this is the communication of complex, quantitative concepts in simple, qualitative ways using Tableau-based visualization. Over the past few years, we have extended our initial efforts on understanding attendance and membership to other aspects of the museum, including collections and visitor experience. Through these examples, you will learn methods to communicate analytic concepts to novice audiences, manage through cultural change, and scale efforts within a resource-constrained organization.
We are all familiar with the story of the tortoise and the hare - slow and steady wins the race. Changes in a university environment happen slowly. BYU adopted Tableau in 2013. We had to find a way to guide our management from guesswork to data-driven decision making.
How did we do it? We let Tableau speak for itself through interactive visualizations. Along the way we had to shed some inefficient practices using the principles of Tableau Drive. Data silos had to be torn down, single source of truth had to be evangelized. Learn some of our successes and failures and how Tableau led to some significant changes in how we help students. Let's just say the tortoise isn't going to win this race!
In 2015 the University of Kentucky created a new role to lead and manage decision support in the Office of the Vice President for Research. With a goal of enabling have real-time access to grant and contract data for use in decision making and strategic planning, we maintain a home-grown data system.
The session will walk attendees through the process of building a dynamic data infrastructure and the use of dashboards to better assist leadership with real-time access to grant, contract award, and expenditure data. We will also ask attendees to brainstorm best practices for reporting research data and what type of data analysis is important on individual campuses. Come ready to discuss among participants about what’s important, what has worked, and what hasn't worked.
Smith College is a private, liberal arts college for women in Northampton, Massachusetts. Major investments are made each year sending admission officers to high schools and college fairs across the US and internationally. Lacking an admission CRM, we’ve implemented a Tableau-based travel planning tool. In this session, we’ll demonstrate how using Tableau transformed the planning process of this investment from an anecdotal and impression-based one to an empirical one leveraging historical admission data. We’ll show you real-life scenarios faced by Smith’s Office of Admission, how these scenarios were addressed, and how using Tableau to examine past trends helped inform strategic decisions. Specifically, increasing student body diversity, determining the highest yield markets, identifying regions with highest qualified students, maximizing recruitment for full pay students, and planning recruitment travel in a new market.
Note: Content is still being added to the schedule. Sessions, times, and locations are subject to change.