Planning and Assurance Services

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Raise a Data Quality issue

This web page is to enable University staff to easily raise data quality issues in relation to the University corporate systems.

The issue will be forwarded to Planning and Assurance Services, who will review the issue and contact you, if required, to refine the issue.

It will then be forwarded to the appropriate Data steward.

Issues will then be reviewed, prioritised and actioned regularly on a priority basis by each Data steward.

Issues will be reviewed in context - several low priority issues relating to a specific function might well justify a higher priority when grouped together.

There are two components to resolving a data quality issue

• fix up the existing data - either by  writing a script / program to correct the data or manually changing the data

• minimise the reoccurrence of the event - this might involve initiatives including
  training
  changing business processes
  modifying computer systems and providing additional validation

Please understand that resolving a data quality issue is not necessarily a trivial exercise, the required resources can be quite significant and resolution could take some time implement.

STUDENT DATA -  If the request relates to Student information at an operational or transactional level, select Unit: "Student Admin Services".

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Your contact details

First name:
Surname:
Telephone:
Email Address:
System: Select the relevant System. If unsure select Other.	Credit database edw EMU interface b/w Syllabus Plus and Medici EnrolOnline Enterprise Planning Exam Timetabling Finance Flexipurchase Graduations Online HR CAS Admin HR Empower Medici Mercury PORTIA Program Information Management PQS Raisers Edge Research Master Results Entry Scholarships Online Student ID Card system Student Portal Syllabus Plus UniSAinfo Reporting WebPay Other
Unit: Select the relevant Unit. If unsure select Other.	Finance Human Resources Marketing Development Unit Planning and Assurance PQS Research Services Student and Academic Services Other
Urgency: If the urgency is high, please include an explanation in the Description below.	Low Medium High
Description: Please briefly describe the nature of the data quality issue.
Impact: Please briefly describe what impact this issue has on your School / Unit e.g. extra work, delay, lack of confidence in data, economic loss?. Is this issue likely to affect other users?
Dimension: Select the Data Quality dimension that you think is most relevant. If unsure select Other.	Accuracy Comparability Timeliness Usability Relevance Other

 

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