Big Data and Analytics
The truth is that, for any institution, Big Data is what institutional leaders and staff make of it. But when effectively leveraged, analytics can help a college or university deliver the personalized, contextual and high-quality experience today’s students expect… at scale.
This Special Feature dives into what it takes for institutions to adapt to the Big Data era and shares insights into numerous aspects of this conversation, from how to create a data-driven culture on campus to how data visualizations can help translate numbers into action.
Understanding the Potential for Data
By leveraging the information gleaned from Big Data, institutions can drive student outcomes in meaningful ways, improving success rates and supporting both revenues and funding.
Leveraging data analytics and business intelligence is critical for colleges and universities today, not just in monitoring key performance indicators but also to support continuous process improvement and to serve as the basis for decision making and action institution-wide.
Making Data Part of Higher Ed’s Fabric
The use of analytics in supporting institutional management has come a long way over the past few decades, but in today’s environment Big Data can have a transformational impact on efficiency and effectiveness in the postsecondary space, and the future looks even brighter.
Big Data allows higher education leaders to both see and create an environment where they’re able to meet—and even anticipate—the broad and unique needs of their students at scale.
Every aspect of a higher education institution—from the classroom to the boardroom—can benefit immensely from the increased leveraging of data, and the impact will magnify as analytics efforts evolve from reactive to predictive.
Institutions that build data analysis into their decision-making processes, both in the academic and business sides of the house, will see immense benefits in their ability to attract, retain and serve students.
Building a Data Culture on Campus
Developing a data-backed culture starts with top-to-bottom belief in the value of data and then connecting that data to results for administrators, staff and faculty across campus.
Data can be a transformative tool that supports action touching every aspect of the institution, but to make it valuable institutional leaders need to focus on developing a data-driven culture that ensures all decisions are backed by solid information.
Reassessing Assumptions About Higher Education
Data can drive success in more ways than one. Institutions can leverage data to improve the student experience and learning outcomes, which impact their outcomes metrics, which can then be used in outreach efforts to attract new students while affirming the positive impact of the institution itself.
The siloing of higher education institutions and the relatively slow pace of change in the EdTech sector has created roadblocks for colleges and universities looking to leverage Big Data, but customer lifecycle management technologies may present an exciting opportunity.
Leveraging Data to Support the Student Experience
Though technology and data analytics alone cannot transform an institution’s student success initiatives, if they are widely adopted and deeply integrated at a strategic and tactical level they can make a big difference.
Leveraging data can help an institution become more student-centric at every level, from guiding the way they interact with students to designing the bureaucracy to fit with student tendencies.
Leveraging Big Data can have a transformational effect on the institutional ability to serve students while also helping leaders and staff to be more effective and impactful without overloading them.
Data’s Transformational Effect on Decision-Making
Democratizing data means putting it in the hands of decision makers at every level of the institution, creating the potential for more data-driven work and intervention at every stage of the student lifecycle.
Data can play a central role in defining institutional strategy, but to be useful, that data must be collected and analyzed in a systematic way that minimizes the chance of error, and presented in a way that’s easy to understand.
Bringing Everyone On-Board With Data
Committing to a data-driven culture on campus can be transformational for every stakeholder at a college or university, but that commitment needs to be conscious and backed up by investment of human and financial resources as well as action.
Though data can have a significantly positive impact on program-level staff, many leaders run into roadblocks when it comes to adoption of this kind of information. It’s up to senior administrators to ensure this data is accessible to all staff, and that they really understand its potential.
Collecting and even analyzing data is not enough, in isolation, to drive real change on a college or university campus. What’s critical is to make data responsiveness part of the cultural identity.
Identifying and Overcoming Data-Related Security Concerns
Data security and consistency are critical considerations for any institution looking to leverage Big Data in decision making, and the first step is to address both the technological and policy challenges.
As colleges and universities continue to move towards more online accessibility to all aspects of the institution, it’s critical that IT leaders—and other institutional stakeholders—thoroughly think through how they use, manage and store data.
One feature of making Big Data an institutional reality is leveraging huge amounts of digital information stored in data warehouses, but there is a very real danger to storing—and sometimes moving—huge amounts of data.
Debunking Common Myths Surrounding Big Data
As Big Data and analytics become increasingly central to the management of both the academic and bureaucratic arms of postsecondary institutions, it’s critical for leaders to deal with issues around algorithmic bias, transparency, data ownership and more.
We often assume that data is infallible, and while that’s far from the truth, a better understanding of assumptions required in data analysis—as well as a commitment to observation and critical thinking by users—can help avoid pitfalls.
Getting Big Data Off the Ground: How to Grow Business Intelligence on Campus
When it comes to creating a data-centric culture on campus, words are not enough. Starting with a shared vision from leadership and a commitment across the institution to information sharing and collaboration, stakeholders across the institution need to buy into the vision of data-backed student success in order to make it a reality.
Before diving into the full capacity for what analytics can bring to a college or university, there’s an adjustment period where leaders learn the possibilities of this information and figure out how to make it actionable.
Using Data to Drive Institutional Strategy and Growth
By collecting, analyzing and leveraging data, innovative institutions can be more assured in the launching and long-term viability of unique and “uncharted” programs, but there are a few critical steps that must first be taken.
Leveraging data analytics can have a transformative effect on enrollment management, but getting Big Data off the ground requires institutional leaders to commit to change and identify clear priorities.
Leveraging Data to Support Innovation and Institutional Success
The business model inertia rampant across the postsecondary space is largely driven by an industry-wide inability to leverage data, and institutional leaders need to look at technologies that can help integrate their data into a single analysis engine to foster a data-driven culture on their campuses.
Integrating data into the decision-making process for all new endeavors is an important step for higher education leaders to take, but it takes teamwork and a focus on institutional mission to really leverage data’s potential.
At the two-year level, student success is more important today than ever, and data can play a huge role in ensuring institutions are keeping their learners on course.
The Impact of Data on Services and Success
Online learning has created new and exciting avenues for students to access postsecondary programming, but such a new environment hammers home the point that traditional approaches to management and success must evolve to suit these students.
Introducing technologies that support collaboration and sharing of data are critical to creating a data-driven environment where staff, faculty and administrators are all able to use data for decision making, interventions and actions.
Analytics can be leveraged to transform institutional advising practices—after all, colleges and universities have access to huge amounts of data. However, that information should be used carefully in order to ensure its effectiveness.
Leveraging Big Data’s Promise at Small Institutions
The adoption of data analytics and Big Data in higher education has led to an improved staff experience, greater operational efficiency and effectiveness, and the ability to improve the student experience.
Big Data is becoming increasingly important for effective institutional management and, while smaller institutions may be challenged by limited resources, their potential to use this data to craft an even more personalized experience for students creates an exciting opportunity.
Making Data Ubiquitous at Smaller Institutions
In an era of limited resources, leaders leverage data to determine where best to direct their efforts and use that same data to get buy-in for new approaches and ideas.
Leveraging the power of Big Data can help smaller institutions adapt more quickly to market shifts and deliver a high-quality experience to changing demographics of learners.
Bringing Data to Life with Dashboards and Visualizations
By leveraging power data visualizations, institutions can make data-driven decision making a reality and move away from the anecdotal and tradition-steeped approach to organizational management that has dominated the postsecondary space for decades.
Collecting and analyzing data is all well and good, but data visualizations make it possible to understand the insights from the data at a more granular level and allow for the broader democratization of business intelligence across the institution.