Intelligent Document Processing (IDP)
Posted: Mon Dec 23, 2024 3:37 am
Intelligent Document Processing allows software to analyze and organize unstructured content. This type of content does not follow a precise pattern like structured documents do. An example of structured content is an application form that always contains a student's date of birth in the same reliable field, in the format 01/31/2003. This is not the case in an email. A student's date of birth might be buried somewhere in a tangle of sentences, in the form "January 31, 2003." IDP helps computers understand information that exists in a more vague way.
Universities use PDN to “read” unstructured content like emails, images, PDFs, and scanned documents. Software can use the data to populate spreadsheets, validate input, populate templates, or make quick decisions in areas like:
Review of student transcripts
GPA qualifying for athlete status
Evaluate the admission requirements
Billing
Expense reports
Robotic Process Automation (RPA)
Robotic process automation (RPA) is a master at applying rules. It can crawl structured data and follow a set of rules on how to process it.
Increased competition among incoming students has pushed universities to raise their standards, leading to an increase in the number of incoming data points per student. RPA can pull in application data such as GPA, test scores, and extracurricular activities to help faculty make decisions. For some colleges, the only limit to the number of applications they can accept is the number of staff they have to review them. Ernst & Young estimates that by using RPA for admissions, colleges and universities can support a 250% increase in application volume . Where will you find RPA in higher education?
Classify requests and attachments independently
Evaluation of financial aid applications
Programming of course loads
Determine if graduation requirements are met
Business Process Management (BPM)
Universities are overrun with manual, paper-based processes. One report found that higher education faculty spend 30% of their time on tasks unrelated to the student experience . Mundane tasks are not only a pain to complete, they also limit the time administrators have to focus on student needs.
Automated workflows decouple faculty from these time-consuming tasks, and organize them into a sequence of tasks performed by digital workers. Forms no longer languish in a to-do folder on someone’s desk, but exist digitally so they can be tracked throughout their approval journey. Leading universities use ProcessMaker for workflow automation to help manage processes such as:
Staff development
Financial Aid Requests
Alumni Fundraiser
Register for courses
Marketing to potential students
Evaluation of requests for addition or removal
Integration platforms
iPaaS is a suite of technologies that connects different tools that aren’t produced by the same vendors, such as CRM, fundraising tools, or financial services. Just as a translator numbers in cambodian helps two people who speak different languages communicate, iPaaS providers help connect disjointed systems so they can share data and perform coordinated actions. For example, an app that prospective students might use to schedule interviews with alumni can, through iPaaS, connect to a new platform that adds post-meeting notes to an app and helps weigh the results.
Artificial Intelligence and Machine Learning (ML)
Both of these tools can help educators make decisions faster and consider information that would be too difficult for humans to evaluate. The Wall Street Journal highlights one department that is rife with opportunities for AI admissions. With AI, colleges can look at data points that exist outside of an application. Software can evaluate a variety of factors to gauge a student’s true interest in attending that school.
For example, AI tools can calculate how often a potential student clicks on email links, how quickly they respond to an invitation to an in-person interview, or whether they responded to an invitation to a party but didn’t attend. AI models can incorporate these more nuanced behaviors into the application process to measure how likely a student is to apply.
Universities use PDN to “read” unstructured content like emails, images, PDFs, and scanned documents. Software can use the data to populate spreadsheets, validate input, populate templates, or make quick decisions in areas like:
Review of student transcripts
GPA qualifying for athlete status
Evaluate the admission requirements
Billing
Expense reports
Robotic Process Automation (RPA)
Robotic process automation (RPA) is a master at applying rules. It can crawl structured data and follow a set of rules on how to process it.
Increased competition among incoming students has pushed universities to raise their standards, leading to an increase in the number of incoming data points per student. RPA can pull in application data such as GPA, test scores, and extracurricular activities to help faculty make decisions. For some colleges, the only limit to the number of applications they can accept is the number of staff they have to review them. Ernst & Young estimates that by using RPA for admissions, colleges and universities can support a 250% increase in application volume . Where will you find RPA in higher education?
Classify requests and attachments independently
Evaluation of financial aid applications
Programming of course loads
Determine if graduation requirements are met
Business Process Management (BPM)
Universities are overrun with manual, paper-based processes. One report found that higher education faculty spend 30% of their time on tasks unrelated to the student experience . Mundane tasks are not only a pain to complete, they also limit the time administrators have to focus on student needs.
Automated workflows decouple faculty from these time-consuming tasks, and organize them into a sequence of tasks performed by digital workers. Forms no longer languish in a to-do folder on someone’s desk, but exist digitally so they can be tracked throughout their approval journey. Leading universities use ProcessMaker for workflow automation to help manage processes such as:
Staff development
Financial Aid Requests
Alumni Fundraiser
Register for courses
Marketing to potential students
Evaluation of requests for addition or removal
Integration platforms
iPaaS is a suite of technologies that connects different tools that aren’t produced by the same vendors, such as CRM, fundraising tools, or financial services. Just as a translator numbers in cambodian helps two people who speak different languages communicate, iPaaS providers help connect disjointed systems so they can share data and perform coordinated actions. For example, an app that prospective students might use to schedule interviews with alumni can, through iPaaS, connect to a new platform that adds post-meeting notes to an app and helps weigh the results.
Artificial Intelligence and Machine Learning (ML)
Both of these tools can help educators make decisions faster and consider information that would be too difficult for humans to evaluate. The Wall Street Journal highlights one department that is rife with opportunities for AI admissions. With AI, colleges can look at data points that exist outside of an application. Software can evaluate a variety of factors to gauge a student’s true interest in attending that school.
For example, AI tools can calculate how often a potential student clicks on email links, how quickly they respond to an invitation to an in-person interview, or whether they responded to an invitation to a party but didn’t attend. AI models can incorporate these more nuanced behaviors into the application process to measure how likely a student is to apply.