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Common data quality issues in the retail industry and how to fix them
In the previous blog The role of data quality in the world of retail, we discussed the role clean data plays in the retail industry
The Role of Data Quality in Retail Industry
We’ve all experienced the thrill of a perfectly timed Netflix recommendation or the joy of discovering a new favorite song in your Spotify playlist. It
12 Most Common Data Quality Issues and Where Do They Come From
In early 2022, Unity Technologies faced an unexpected data quality issue—one that cost the company $110 million. Resulting from the ingestion of flawed data by
Building a case for data quality: What is it and why is it important
According to an IDC study, 30-50% of organizations encounter a gap between their data expectations and reality. A deeper look at this statistic shows that:
Data quality API: Functions, architecture, and benefits
While surveying 1900 data teams, more than 60% cited too many data sources and inconsistent data as the biggest data quality challenge they encounter. But
Batch Processing versus Real-Time Data Quality Validation
Research shows that while 24% of data teams use tools to find data quality issues, most of their problems still go unresolved. This means that
The Impact of Poor Data Quality: Risks, Challenges, and Solutions
Poor data quality can have devastating risks on your business. Most organizational workers realize the impact of of poor data quality, but it is hard
Designing a Data Quality Management Framework
Data is the lifeblood of decision-making in the business world today. Yet as revealed by the State of Data Quality Report 2022, less than half
5 data quality processes to know before designing a DQM framework
Most companies trying to become data-driven cite poor data quality as one of the top 5 challenges. Invesp published a report where they discovered that
