25
Nov
(Adam-Vilimek/Shutterstock) Approaches to data quality vary from company to company. Some organisations put a lot of effort into curating their data sets, ensuring there are validation rules and proper descriptions next to each attribute. Others concentrate on rapid development of the data layer with very little focus on eventual quality, lineage, and data governance. What’s undeniable is that businesses refusing to funnel the necessary time and resources into managing their data will face a financial backlash. This is supported by recent research, revealing that companies generating over $5.6 billion in annual global revenue lose a yearly average of $406 million…