These reports are important in the process of work and performance follow up processes plus assuring the correctness of data. These reports are considered the main factor in supporting the system management so that all processes goes in a systematic manner according to the form and time defined for it. This is how we can discover the strength and weakness in the procedures. Below is a set of follow up and audit reports according to the stage:

1. Historical follow-up reports for signing into the system

• Log for all users who signed into the system by user name, date and time

• Log for signing into the system according to the institute

• Log for signing into the system for all Institutions

2. Historical follow up reports for loading data files

• Log for data files loaded into the system by user name, date and time

• Log for data files loaded into the system according to the institute

• Log for data files loaded into the system for all Institutions

3. Audit reports for data file load and first check

• Report with all errors in loaded data files on institute level by type of error, date and time

• Report with errors in data file format on all Institutions level

4. Audit report for the second data check

• Report shows all validations applied for each institute

• Report shows all invalid entries for each institute by date and time

• Report shows the result of comparing data between students and students after graduation

• Report shows the result of comparing data of students between a current year and previous one.

• Report shows the result of comparing student data among set of years according to gender, qualification aim, main specialization and study level.

5. Audit reports for the third data check

• Number of students, percentages of number of students by gender, nationality, main qualification, qualification aim, student level, student case and age.

• Number of employees at HEI and percentages of number of employees by gender, nationality, age, type of academic function, highest qualification gained and terms of employment.

• Number of students after graduation and percentages by gender, employment status and highest qualification gained.

Email reminders are used in order to avoid any delay in the process of data loading by the concerned HEI. A methodology for sending reminder emails shall be set to be sent prior to the due date of loading data files so that HEI start preparing data to be sent. The methodology for emails reminder is:

1. Reminders to prepare the data by the HEI will be sent to the person responsible for data loading at the institute. It start two months before the data load due date. Weekly reminder will be sent for a period of two months.

2. Reminders for the data load stage directed to the person responsible for sending the data in the institute and it starts from the start of pre-specified date of sending data. Two reminders per week will be sent for the first month and three reminders per week for the second month and in the third month a daily reminder will be sent and a copy will be directed to the concerned manager. Reminder emails shall stop when the data sent before the due date.

3. Reminder for sending data after the data review and check directed to the person responsible on sending the data in the institute. It starts from the date of any check failure. Those reminders will be sent twice weekly and stop when data are resent.