Events by date

Data quality is one of the most important problems in data management, since dirty data often leads to inaccurate data analytics results and wrong business decisions.

Speaker: Xu Chu

Data quality is one of the most important problems in data management and data science, since dirty data often leads to inaccurate data analytics results and wrong business decisions. It is estimated that data scientists spend 60-80% of their time cleaning and organizing data rather than performing modelling or data mining.