Nonprofit Data Quality: Maintaining Good Data in an NFP Environment  will help you and your colleagues improve your nonprofit's productivity.

You’ve invested a lot of resources in your constituent relationship management (CRM) database. Staff have contributed input, you’ve selected an implementation vendor and software for your database. Funds have been budgeted. Existing data sources have been analyzed. Now comes the hard part. It’s easy to sometimes forget the core reason for creating a CRM system: your nonprofit organization needs a mechanism for keeping track of constituent data. This data is vital because it will contain information about past or prospective donors, volunteers or other constituents. Your nonprofit will depend on this data to carry out its mission and raise sufficient funds. 

A nonprofit's database is only as good as the data housed within. A CRM system containing bad data, incomplete records, old stuff, or inaccuracies can actually be more of a liability for a nonprofit than not having a CRM system at all. If your CRM system contains 15,000 records, but half of the records contain incorrect address information, the quality of the data could cost thousands of dollars when you send a mailer. It could cost you hundreds of working hours following up on contacts that don’t exist. And – the kiss of death for any database deployment – it could convince your nonprofit's users that the CRM system is not worth using.

Nonprofit Data Quality  outlines some common-sense strategies that you can use when designing your CRM database for a nonprofit organization. These strategies will produce a system that is conducive to maximizing the full potential of your nonprofit's mission and work. You’ll also see some sample data quality checklists and sample style guidelines, which you can use as a foundation for creating similar documents for your environment.

  • Paperback: 108 pages
  • Language: English
  • ISBN-10: 1463539703
  • ISBN-13:13: 978-1463539702