"I'm really pleased with the state of my association's data," said no association ever.
Dirty data is something we all love to hate but it doesn’t have to be that way. Data quality is often cited as a reason to delay or avoid analytics and other data initiatives. In reality, a data analytics program is very likely to put your organization on the road to high-quality, trustworthy data.
During this 30-minute session (followed by Q&A), you'll learn how to:
- Debunk common data quality myths
- Identify data quality issues
- Prioritize data hygiene based on its value to your association
- Mitigate or avoid risks related to data
- Build trust in imperfect data
We answer questions throughout the presentation and end with some pro tips you can start to implement immediately.
This webinar originally aired on June 23, 2021.
Your Hosts:
|
Bill Conforti |
Greg Pollack |
