RESOURCE CENTER
Complete data quality hub
Featured Resources
“Quality is never an accident; it is always the result of high intention, sincere effort, intelligent direction, and skillful execution; It represents the wise choice of many alternatives.”...
“Quality is never an accident; it is always the result of high intention, sincere effort, intelligent direction, and skillful execution; It represents the wise choice of many alternatives.”...
“Quality is never an accident; it is always the result of high intention, sincere effort, intelligent direction, and skillful execution; It represents the wise choice of many alternatives.”...
In 2003, the Social Security Administration (SSA) and the Department of Transportation (DOT) launched a joint investigation into the possible misuse of Social Security Numbers by airline pilots. The two...
In 2003, the Social Security Administration (SSA) and the Department of Transportation (DOT) launched a joint investigation into the possible misuse of Social Security Numbers by airline pilots. The two...
In 2003, the Social Security Administration (SSA) and the Department of Transportation (DOT) launched a joint investigation into the possible misuse of Social Security Numbers by airline pilots. The two...
Don't wait for a data migration event to test your data quality. Perform data quality tests now before it gets too late. Here's everything you need to know!...
Don't wait for a data migration event to test your data quality. Perform data quality tests now before it gets too late. Here's everything you need to know!...
Don't wait for a data migration event to test your data quality. Perform data quality tests now before it gets too late. Here's everything you need to know!...
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
The definitive buyer’s guide to data quality tools
A recent survey reported that the top KPI for data teams in 2021 was data quality and reliability. But the majority of the respondents said that they
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
Attainment generates accurate mailing lists from cleaning and deduplicating customer entries in CMS
About Attainment Company is a family-owned business based out of Verona Wisconsin that is committed to helping people with intellectual disabilities and autism succeed at
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
Lawyer.com uses data cleansing and standardization to remove duplicates in minutes
About Lawyer.com provides legal services to millions of U.S. and Canadian consumers and law firms. Its industry-leading directory provides current profiles on 2 million lawyers
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
ready? let's go
Try now or get a demo with an expert!
"*" indicates required fields
