Why data quality programmes are important for advancement

James Johannesson

Journal of Education Advancement & Marketing, 2016, vol. 1, issue 3, 227-235

Abstract: The explosion in fundraising and alumni relations for data-derived decision making and analytics requires an investment in data quality. There are often complaints from professionals about the quality of data in databases. The data is not up to date or correct. Support staff members feel they can never keep up with the never-ending requirement for more data. Vendor systems deal with the common data and have difficulty in keeping up with advances in what advancement professionals are asking systems to capture. This leads to clashes in philosophy and culture. Senior leadership sometimes thinks ‘this can be solved with a new system’. All systems have faults in their operation, but inherent in all of this is the quality of the data within the system. This paper identifies best practices around data quality that need to be considered as university leadership becomes more dependent on fundraising and alumni engagement for support.

Keywords: data; quality; metrics; accountability; fundraising (search for similar items in EconPapers)
JEL-codes: M3 (search for similar items in EconPapers)
Date: 2016
References: Add references at CitEc
Citations:

Downloads: (external link)
https://hstalks.com/article/2611/download/ (application/pdf)
https://hstalks.com/article/2611/ (text/html)
Requires a paid subscription for full access.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:aza:jeam00:y:2016:v:1:i:3:p:227-235

Access Statistics for this article

More articles in Journal of Education Advancement & Marketing from Henry Stewart Publications
Bibliographic data for series maintained by Henry Stewart Talks ().