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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!...
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
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
Building a Data Quality Team: Roles and Responsibilities to Consider
According to Seagate’s Rethink Data Report 2020, 44% of enterprise data is lost, and only 56% is made available for use. Moreover, out of the
What is the difference between data quality and master data management?
We have delivered data quality solutions to Fortune 500 companies for over a decade. We often come across clients who are confused about how to
A guide to master data management: What, why, who, and how
The need for master data management A recent Deloitte Digital report shows that an average business uses 16 applications to leverage customer data and about
Data quality dimensions – 10 metrics you should be measuring
“As organizations accelerate their digital business efforts, poor data quality is a major contributor to a crisis in information trust and business value, negatively impacting
A Fortune 500 Company fast tracks merger process with company two months ahead of deadline
Business Use-Case A multi-billion-dollar Fortune 500 company recently underwent a major merger with another company similar in size. Problems and inconsistencies naturally exist with every
Zurich Insurance Group enhances internal reporting process with fuzzy matching and list cleansing
Company Profile Zurich Insurance Group Ltd. is a Swiss insurance company, commonly known as Zurich, headquartered in Zürich, Switzerland. The company is Switzerland’s largest insurer.
West Virginia University matches records from disparate sources to speed up its research activities
Company Profile West Virginia University is the state’s only research, doctoral degree-granting, land-grant university. The school offers nearly 200-degree programs at the undergraduate, graduate, doctoral,
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