Higher Education Department Report Generator

An AI-based tool for generating Departmental Reports in Higher Education

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About Higher Education Department Report Generator

As the standard of education and stakeholder expectations continue to evolve, many higher education institutions are burdened with the challenge of managing a massive amount of data. This data can include everything from admissions and retention rates to graduation and post-graduation success rates.

One type of data that is vital for higher education institutions involves Departmental reports. They have always been required but are even more prevalent now with new outcomes measurements associated with performance-based funding and the advance of analytics. To add to the burden, reports must now meet quality and consistency criteria.

As a result, higher education leaders must find ways to streamline reporting processes to gather, document, and analyze performance data effectively. One new answer to this problem is an AI reporting tool like Stackbear's as explained and described in our Higher Education Department Report Generator to help institutions streamline the reporting process and provide the data needed to remain compliant.

In this blog, we'll discuss AI reporting, some challenges to reporting in higher education, and details about how an AI reporting tool can improve operational efficiency, ensure data accuracy, and reduce the time and effort critical to keeping up with performance reporting requirements.

Table of Contents

What Are a Few Higher Education Reporting Challenges?

Higher education institutions are responsible for maintaining a huge amount of data. Higher education requires reporting on specific metrics to ensure institutions are in compliance with various laws and regulations. Things have evolved to a point where data-driven decision-making is essential to the success of higher education institutions — especially concerning student enrollment, retention, and post-graduation success.

When considering reporting in higher education, it's important to understand the unique challenges the industry presents. Here are a few reporting challenges in higher education.

Compliance with Institutional Policy

Much of reporting on higher education occurs due to the need for institutional policy. Features, like reporting on post-graduation success rates and budget utilization, must be supported by data. These tasks can result in significant administrative work that requires manual effort.

Silos and Episodic Nature of Data

Higher education data often exists in silos, creating an issue when data needs to be spread among various stakeholders. The nature of critical higher education trends, such as student enrollment and retention, is also often episodic.

This makes it difficult to gain the full view of the institution within the context of similar industry players during specific data timeframes. As such, contributors will need to update numerous stakeholders with the most recent data several times a year, if not more frequently.

Data Entry Errors

For data entry to be accurate, it's essential for the person completing it to understand its specific context and purpose. In higher education, though, numerous administrative tasks are required. Sometimes, administrators must analyze multifaceted, data-supported trends rather than complete streamlined data entry tasks.

Forgetting to input key measurements, interpreting available measurements differently, and a lack of awareness around policy changes are issues that can plague the accuracy of information.

Technical Skill Gaps

In an age where everything is connected, it's no secret that the required technical skills are changing. According to a survey from Salesforce Research, 63% of people expect companies to provide "the latest technology" as part of the employee experience.

This is becoming increasingly apparent in the higher education landscape. The previous challenges we discussed focus primarily on organizational challenges; however, individuals' collective skillset also comes into play when considering an organization's emerging technological needs. This can include a lack of ability to perform basic digital report authoring, an inability to analyze existing data for organizational needs, an ignorance of relevant software and tools, and more.

Why is High-Quality Data in Higher Education Critical?

Administrative units within institutions rely on accurate, real-time student data. This data enables outreach, proactive problem-solving, and strategic decision-making at all levels, from the classroom to the boardroom.

The evidence is also clear that data-informed decision-making enhances student success.

Teaching and Learning

Faculty and administrators rely on access to accurate and meaningful data to focus on and improve the teaching and learning environment. This includes a range of initiatives such as teaching and instructional improvement, faculty governance, student success initiatives, and supporting research undergirding institutional norms and practices.

Why Are Data Reports in Higher Education Critical?

Reporting is critical in the higher education realm, as details about limitations and success rates provide a best path to strategy for the path towards completion of projects, initiatives, and more.

With that said, here are the five exceptional examples of data reports in higher education:

Retention Data Reports

Retention is a challenge for many institutions, especially community colleges that often get the short end of the stick as students navigate real-life issues that can be a deterrent to achievement.

This shows the value of working toward accurate and meaningful student information and higher-education data reporting: With it, faculty and staff can collaboratively develop and execute tactics and interventions to mitigate risk points and disseminate resources to students most in need (as an example).

Accessibility Data Reports

Students with disabilities

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