Training providers collect more data about students than ever before. Every enrollment comes with personal details, payment information, and program selection. Every class generates attendance records. Every assessment generates results. Every completion requires certification. The sheer volume of data flowing into educational institutions has increased exponentially, but the means of processing that data have not improved correspondingly.
The upshot is that training providers find themselves drowning in information but simultaneously struggling to retrieve the specific information they need when they need it. Staff cannot easily answer questions that should be simple, such as how many students are enrolled in which programs or what percentage of students completes the courses they start. Providing the answer requires time pulling together reports from various sources and reconciling often contradictory information. The information might be there, but retrieving it in a usable form takes more effort than most organisations can afford.
Where All This Information Comes From
Data about students flows into the organisation through various channels. Inquiry forms provide basic contact information. Enrolment applications collect demographic data, educational backgrounds, and program selections. Payments systems keep track of who has paid and how much they owe. Attendance recording systems monitor who has attended classes or completed online courses. Assessments record quiz scores, assignment submissions, and evaluations. Communication tools log every email, text message, and notification sent to or received from students.
Each system generates its own stream of information. A single student progressing through a training system will likely generate between 50 and 100 unique data points that will need to be recorded in one system or another or on various documents. Multiply that by hundreds or thousands of students, and the amount of information becomes overwhelming.
The issue is not only one of volume but also one of fragmentation. When information about students is recorded in all sorts of systems, databases, and documents, there’s no single source of truth for staff seeking information about a specific student or the student population as a whole. Anyone who wants information must hunt through multiple systems to find the basic facts they need.
The Daily Impact on Staff
Staff involved in the administration of training organizations feel the impact of this information overload the most. Their days are filled with requests from colleagues who need to know things about students or programs that should be easy to answer. No one wants to spend too long on an administrative task, but it is difficult to avoid when the information systems are so fragmented.
Questions that should be straightforward to answer become time-consuming administrative problems that require digging through multiple systems to find answers. Information overload isn’t just an issue of finding an individual record in a specific system; it also becomes a cognitive challenge as well. Staff members must remember which system contains which information, what questions can be answered in which reports, and how to extract useful information from each reporting system.
Phone and email requests from students make life even harder. If a student approaches staff with an administrative question, they usually need to find the answer quickly. Staff cannot afford to keep the students waiting while they search for the answers they should know immediately.
When Reporting Becomes Painful
Most training organisations are subject to reporting requirements from one organisation or another. They need to report statistics such as enrolment figures, numbers on particular programs, and completion rates. Reports can usually specify raw data such as the number of currently enrolled students in each program/track or percentages of students completing courses.
When information is fragmented across multiple systems, generating these reports can be a major administrative challenge. Staff must gather data from enrolment systems, training systems, payment systems, attendance records, and communication logs. Formatting it can take hours or even days of manual work, whereas an organisation that uses robust student management systems can extract it in minutes with a few clicks of a mouse.
The uncertainty created by relying on multiple sources of truth raises doubts about accuracy as well. If discrepancies arise between two sources that present conflicting information about the same student or issue, which source should one trust? What if one system recorded an outdated transaction that had not yet been cleared in another?
Decision-Making in the Dark
Training organizations need accurate information if they are to make well-informed decisions about their operations. They need answers to questions such as which programs have high completion rates or low completion rates? Which topics are causing difficulty for students? Which formats do students prefer? How do male and female students compare in their performance?
When relevant information is locked away in fragmented systems that have little relation to one another, organisations cannot make data-driven decisions about their operations. Decisions are made on instinct or personal experience rather than quantifiable data trends; gaps in their offerings or issues with their training programs remain unaddressed because no one has seen patterns worth following up.
The Student Consequence
Information overload in an educational organization does not only affect the people who work there; it also has a tangible impact on the “customers” or “clients.” When student records are not properly organized, processed efficiently, and easy to retrieve when needed, students experience delays in enrolling for their courses. They encounter confusion about their statuses—are they still waiting for approval or enrolled but awaiting course allocation? Errors crop up in documentation that staff have to face daily and correct on the spot. Requests take longer to answer because employees have to wade through fragmented records as they search for relevant information.
Students will notice if staff cannot quickly answer simple questions about accounts or enrolment statuses. They will feel the frustration building up when changes in enrolment status take time because records have to be updated in multiple systems before students can receive feedback about their requests from employees. Delays caused by fragmented certificate issuances processes will impact students who have completed their courses but still need their documentation.
Making Information Manageable
There is no need to stop collecting data about students; training providers need all that information to help them run their operations effectively, monitor compliance with established guidelines and regulations, improve their offerings over time, and assist their regulators with quality monitoring.
Training providers can overcome this overwhelming amount of information by changing the way they structure that information at source. Rather than allow it to flow into fragmentation systems where it gets scattered across numerous irrelevant filing cabinets and database folders, data management tools can allow them to create structures within their reporting systems – meaning that related data can be stored together and retrieved easily.
Management software is available that can help training organizations with this challenge; organizations facing significant difficulties with managing this influx of information can realistically expect help and solutions from an external consulting firm.
Training organisations that have been successful in tackling these challenges share the commonality of investing time in building an organized environment where the information collected by employees makes sense and plays a role within the organization’s broader functioning; even though it is not possible to reduce the volume of data being collected moving forward through any organization using a management system focused on a data-driven rather than fragmented approach toward organizing that incoming data could be a reasonable focal area for improvement within those organizations.
The people processing this information will benefit personally as well; both from having easier jobs but also less cognitively taxing jobs where they have to remember less about where answers can be found. Additionally, students will notice a reduction in turnaround times for issues related to administrative concerns as well.