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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. William A. Foster...
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. William A. Foster...
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. William A. Foster...
In this blog, we will take an in-depth look at fuzzy matching, the go-to approach for data deduplication and record linkage. We will cover: What is Fuzzy Matching? Why Do Businesses Need Fuzzy Matching?...
In this blog, we will take an in-depth look at fuzzy matching, the go-to approach for data deduplication and record linkage. We will cover: What is Fuzzy Matching? Why Do Businesses Need Fuzzy Matching?...
In this blog, we will take an in-depth look at fuzzy matching, the go-to approach for data deduplication and record linkage. We will cover: What is Fuzzy Matching? Why Do Businesses Need Fuzzy Matching?...
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!...
12 most common data quality issues and where do they come from
According to O’Reilly’s report on The state of data quality 2020, 56% of organizations face at least four different types of data quality issues, while
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
A recent survey shows that 24% of data teams use tools to find data quality issues, but they are typically left 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
It is challenging to correlate a data problem to business risk or impact. Poor data quality can have devastating risks on your business. Most organizational
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 Framework for Data Quality Management
According to O’Reilly’s report on The state of data quality 2020, 56% of organizations face at least four different types of data quality issues, while
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