Here are our four key takeaways, and a welcome update, that we took from the FIA IDX conference in London last month.
What is Data Quality
Data quality refers to the accuracy, completeness, consistency, and reliability of data within a dataset or database. High quality data is free from errors, duplicates or inconsistencies and is in a format that is usable. Data quality is a key consideration for any data-based process or use case.