Implementing a Data Quality Monitoring Framework
For any Business Intelligence solution to be useful for analytical and decision-making purposes, it is imperative that the underlying data quality is good so, that reports generated are reliable to make business decisions. This article from Imran Quadri Syed walks the through steps involved to implement a successful Data Quality Monitoring framework that would validate incoming data against predefined data quality rules and capture data quality metrics.
