From defining prices to forecasting demand and deciding what would be the best time to offer customers a discount, big data is revolutionizing the retail space. When you’re dealing with big data, the volume, types, uses, applications, contexts, etc. all vary. Thus, meeting data quality standards is a big challenge. Left unaddressed, these big data quality issues can lead to errors in algorithms, make the inferences less reliable and even cause compliance issues.