PinnedZara ZiadinThe Data Quality BlogWhat is Data Quality Framework and How to Implement It?30–50% of businesses experience gaps between their data expectations and reality. They have the data they need, but due to the presence of…Aug 22, 2022Aug 22, 2022
Zara ZiadinData Science in your pocketFuzzy matching- definition, process, and techniquesAn Accenture survey showed that 75% of consumers prefer buying from retailers who know their name and purchasing behavior, and 52% of them…Aug 31, 2022Aug 31, 2022
Zara ZiadinThe Data Quality BlogData cleansing for reliable analytics and business intelligenceAccording to Forbes, data scientists spend about 80% of their time on data collection, cleansing, and preparation, while only 20% of it is…Aug 23, 2022Aug 23, 2022
Zara ZiadData cleansing: Code, AI, and self-service toolsPoor data quality is a rising concern for many business leaders as they fail to meet their targeted goals. The team of data analysts —…Aug 10, 2022Aug 10, 2022
Zara ZiadinData Science in your pocketData Quality Metrics to Know and MeasureThe most important characteristic for any organization is not data, it is quality data. In a study, IBM estimated that bad data costs the…Jul 26, 2022Jul 26, 2022
Zara ZiadDesigning a Comprehensive Framework for Entity ResolutionOrganizations are aware of the risks associated with poor data quality and the devastating impact it can have across various business…Jul 17, 2022Jul 17, 2022