It is common sense: Data quality is a key factor for the success of any business that relies on efficient processes, data-driven decision making, analytics, or artificial intelligence. Poor data quality can lead to inaccurate insights, lost opportunities, wasted resources, and customer dissatisfaction. According to a study by IBM, bad data costs the US economy $3.1 trillion per year. 

Twice a year the CDQ Data Sharing Community gathers for a 2-day onsite workshop to discuss all things master data in quite a unique format. During the event, data professionals from our member companies get a chance to strengthen their peer networks, discuss common work topics, exchange experiences, good practices, and, finally, have a little bit of fun.

How benchmarking can help you find out! Data quality benchmarking helps to identify gaps in an organization's data quality processes and target their improvement efforts more effectively.