High quality data allows for better delivery of services, more trustworthy insight, and clearer actionable intelligence. Short-term data collection (weeks/months) efforts often use tools like Microsoft Excel trades extreme flexibility for minimal quality checking. Long-term data systems (years/decades) can suffer from poor documentation, relying extensively on institutional knowledge and inevitably changing requirements. As part of our week-long focus on data quality, we spent this office hours talking about some of those challenges and some approaches to resolving them.
The discussion features:
- Stephanie Singer, a technologist with diverse career accomplishments as a data strategist, entrepreneur, professor, and elected government official. After she earned her Ph.D. in mathematics and tenure at a top-ten liberal arts college and worked as a Data Strategist in a small business, she defeated a 36-year incumbent in a citywide race in her first run for public office. As elected City Commissioner on the Philadelphia Board of Elections, she increased transparency and visibility of the office, rooted out corruption and fought effectively for voters’ rights.
Listen to the Recording (or download)