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12 Most Common Data Quality Issues and Where Do They Come From
Last Updated on October 16, 2024 In early 2022, Unity Technologies faced an unexpected data quality issue—one that cost the company $110 million. Resulting from
Building a case for data quality: What is it and why is it important
Last Updated on April 8, 2024 According to an IDC study, 30-50% of organizations encounter a gap between their data expectations and reality. A deeper
Data quality API: Functions, architecture, and benefits
Last Updated on April 8, 2024 While surveying 1900 data teams, more than 60% cited too many data sources and inconsistent data as the biggest
Batch Processing versus Real-Time Data Quality Validation
Last Updated on November 11, 2024 Research shows that while 24% of data teams use tools to find data quality issues, most of their problems
The Impact of Poor Data Quality: Risks, Challenges, and Solutions
Last Updated on September 12, 2024 Poor data quality can have devastating risks on your business. Most organizational workers realize the impact of of poor
Designing a Data Quality Management Framework
Last Updated on October 3, 2024 Data is the lifeblood of decision-making in the business world today. Yet as revealed by the State of Data
5 data quality processes to know before designing a DQM framework
Last Updated on August 25, 2023 Most companies trying to become data-driven cite poor data quality as one of the top 5 challenges. Invesp published
The definitive buyer’s guide to data quality tools
Last Updated on August 25, 2023 A recent survey reported that the top KPI for data teams in 2021 was data quality and reliability. But
Building a Data Quality Team: Roles and Responsibilities to Consider
Last Updated on September 13, 2024 Despite organizations claiming their data strategies are effective, only 56% report achieving their data goals in 2023, and a