Training for Advancement: Assess Your Data Integrity and Establish Data Cleaning Priorities



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Assess your shop’s current data integrity and create a roadmap to improve data quality.

Assess your shop’s current data integrity and create a roadmap to improve data quality.

Most of us struggle to collect accurate and relevant data from our alumni, but many of us have not evaluated our databases to create a holistic picture of our strengths and weaknesses. Even fewer shops have formalized processes in place to regularly assess the efficiency and quality of different data channels.

Join us for this interactive webinar to learn a comprehensive approach to assessing your data integrity. Our faculty will dive deep into the criteria of data quality and provide you with strategies and practices to keep your data clean.

Score Your Data

During the webcast, our instructor will introduce a holistic scoring model and demonstrate how to use it with an example set of data. You are encouraged to have your own data set available for this exercise. You’ll leave with the tools and strategies to create a plan of action to begin your own assessment and set priorities specific to your shop’s goals.

Who Should Attend

Anyone in advancement services who is looking to improve data quality and maintain a cleaner database will benefit from this hands-on training.


  • Learn about the data integrity continuum
  • Identify the criteria of quality data
  • Assess your data in the training using the scoring model
  • Form proactive partnerships to collect and maintain quality data


Tim Jones

Senior Director of Advancement Information Systems & Analytics, Miami University

Tim has been a systems analyst, application developer, and data professional for 33 years. While working in retail, healthcare, insurance, and private consulting, Tim has implemented data integrity practices in his applications development while working as a technical lead, database administrator, and IT director. For the last 19 years he has worked on and supported various data integrations and applications at Miami University. Tim has implemented new data integrity models, practices, and staff positions that combine strong quality point concepts with business capabilities models to drive improvements to overall data integrity with the data systems he and his team maintain.


Questions About the Event? Email this event’s Program Manager, Whitney Egstad.

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