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Blogs
How to Improve Data Quality in Financial Services
Last Updated on January 5, 2026 24 percent of insurers say that they are ‘not very confident’ about the data they use to assess
Data quality in healthcare – Benefits, challenges, and steps for improvement
Last Updated on January 5, 2026 38 percent of U.S. healthcare providers have incurred an adverse event within the last two years due to
Common data quality issues in the retail industry and how to fix them
Last Updated on December 23, 2025 In the previous blog The role of data quality in the world of retail, we discussed the role
The Role of Data Quality in Retail Industry
Last Updated on November 14, 2024 We’ve all experienced the thrill of a perfectly timed Netflix recommendation or the joy of discovering a new
12 Most Common Data Quality Issues and Where Do They Come From
Last Updated on January 5, 2026 In early 2022, Unity Technologies faced an unexpected data quality issue—one that cost the company $110 million. Resulting
Building a case for data quality: What is it and why is it important
Last Updated on January 5, 2026 According to an IDC study, 30-50% of organizations encounter a gap between their data expectations and reality. A
Data quality API: Functions, architecture, and benefits
Last Updated on January 5, 2026 While surveying 1900 data teams, more than 60% cited too many data sources and inconsistent data as the
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
The Impact of Poor Data Quality: Risks, Challenges, and Solutions
Last Updated on February 16, 2026 Poor data quality can have devastating risks on your business. Most organizational workers realize the impact of of
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
5 data quality processes to know before designing a DQM framework
Last Updated on January 28, 2026 Most companies trying to become data-driven cite poor data quality as one of the top 5 challenges. Invesp
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.
Building a Data Quality Team: Roles and Responsibilities to Consider
Last Updated on February 16, 2026 Despite organizations claiming their data strategies are effective, only 56% report achieving their data goals in 2023, and
What is the Difference between Data Quality and Master Data Management?
Last Updated on October 21, 2024 We have delivered data quality solutions to Fortune 500 companies for over a decade. We often come across
A Guide to Master Data Management: What, Why, Who, and How
Last Updated on October 2, 2024 With hundreds of data sources and an average of 259 distinct software applications and systems, organizations are drowning
Data Quality Dimensions – 10 Metrics You Should Be Measuring
Last Updated on September 26, 2024 When Unity Technologies’ Audience Pinpoint tool ingested flawed data in early 2022, it wasn’t just a technical hiccup
Data quality measurement: when should you worry?
Last Updated on November 27, 2024 In March 2017, Rescue 116, a CHC Ireland helicopter, crashed into a 282ft obstacle – the Blackrock Island off the
What is Data Profiling: Scope, Techniques, and Challenges
Last Updated on October 30, 2024 It’s no secret that data is the currency that drives business growth and innovation today. Yet, despite billions
Why Data Duplicates Exist and How to Get Rid of Them?
Last Updated on September 11, 2024 Did you know poor data quality can drain as much as 25-31% of a company’s revenue? While there
Data Merging: Process, Challenges, and Best Practices for Combining Data from Multiple Sources
Last Updated on February 16, 2026 An average enterprise uses more than one thousand applications. However, only 29% of them are integrated. This makes