Data quality with Andrea Cifor
The Data Standard
Very often, organizations focus a lot on data cleansing after the data has been captured. But any incremental effort spent on focusing on data quality at the source will reap long term benefits. Data quality is on the top of everyone’s mind recently, but getting it right is as challenging as ever. One of the contributing factors is the number of people who are involved in the process and the potential impact on the business if something goes wrong. In this episode of TDS, Andrea Cifor, talks about the importance of data education to frontline employees so they can also be stakeholders of data quality.
Meet The Host
Data scientist at The Data Standard
Catherine Tao is a tech enthusiast looking for new methods for building connections with businesses around the world. Her extensive knowledge of data science allowed her to develop new solutions and implement them into existing ecosystems. She is currently working as a Data scientist and Exclusive Podcast Producer at The Data Standard.
Meet The Guest
Director, Actuarial Data Gov at Nationwide
Andrea Cifor has over 20 years of experience building and consulting in quality, process and information management. Andrea has proven success in authoring organizational best practices for integration, data quality management and fitness by design. She is an IASA certified CITA-P Information Architect and is certified in Six Sigma and LEAN. She has designed and built a Data Quality and Analytics Framework with predictive models. Developed and executed data management standards resulting in reduction of data loss. Designed and executed on enterprise level data rationalization strategy and data (repository) ranking.