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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!...
Inaccurate data has real-world implications across industries. In law enforcement, inaccurate data could mean booking the wrong person for a crime. In healthcare, it could mean making a fatal mistake in...
Inaccurate data has real-world implications across industries. In law enforcement, inaccurate data could mean booking the wrong person for a crime. In healthcare, it could mean making a fatal mistake in...
Inaccurate data has real-world implications across industries. In law enforcement, inaccurate data could mean booking the wrong person for a crime. In healthcare, it could mean making a fatal mistake in...
Understanding data quality and master data management: Choosing between the two approaches (part 3 of 3)
Note: this blog is part 3 in a series of 3. If you want, do check out the previous blogs where we discussed the need
Understanding data quality and master data management: Is an MDM solution the answer to your data woes? (Part 2 of 3)
Note: this blog is part 2 in a series of 3. If you want, do check out the previous blog where we talked about the
Understanding data quality and master data management: The need for systematic, centralized data (part 1 of 3)
Biggest data challenge faced by most companies Having delivered data solutions to Fortune 500 clients for over a decade, we have encountered various types of
Data quality dimensions – 10 metrics you should be measuring
In this blog: Data quality – Can you use the data you have? What are data quality dimensions? How many data quality dimensions are there?
Data quality measurement: When should you worry?
In March 2017, Rescue 116 crashed into a 282ft obstacle – the Blackrock Island off the County Mayo coast. Further investigations revealed that the CHC
What is data profiling: Scope, techniques, and challenges
Today, enterprises highly depend on data for growing their businesses and scaling their goals and expectations. Huge efforts are being invested in devising the perfect
Why duplicates exist and how to get rid of them?
According to Natik Ameen, Marketing Expert at Canz Marketing, duplicate data in the company’s CRM happens due to a range of reasons: “from a human error
Merging Data from Multiple Sources – Challenges and Solutions
Merging data from multiple sources Data merging is a process where data is unified from multiple sources to represent a single point of reference or a single point
Using Record Linkage to Resolve Patient Matching Errors
“Accurate identification of patients is one of the most difficult operational issues during a public health emergency, and the nationwide response to the pandemic, including
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