Resources
Blogs
Data Quality Dimensions – 10 Metrics You Should Be Measuring
When Unity Technologies’ Audience Pinpoint tool ingested flawed data in early 2022, it wasn’t just a technical hiccup – it was a $110 million disaster.
Data quality measurement: when should you worry?
In March 2017, Rescue 116, a CHC Ireland helicopter, crashed into a 282ft obstacle – the Blackrock Island off the County Mayo coast. Investigations revealed that the
What is Data Profiling: Scope, Techniques, and Challenges
It’s no secret that data is the currency that drives business growth and innovation today. Yet, despite billions spent on data management initiatives, more than
Why Data Duplicates Exist and How to Get Rid of Them?
Did you know poor data quality can drain as much as 25-31% of a company’s revenue? While there are multiple factors that can affect data
Data Merging: Process, Challenges, and Best Practices for Combining Data from Multiple Sources
An average enterprise uses more than one thousand applications. However, only 29% of them are integrated. This makes it difficult for businesses to extract valuable
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
Why a CASS Certified Address Normalization Solution is Critical for Reducing UAA Mails
Imagine this for a moment. You’ve spent tireless days crafting a direct mail campaign for the launch of your latest product or service offering to key prospects; you finalized the copy, approved
Your Complete Guide to a Successful Data Migration
If you’re reading this guide, chances are you’ve already decided to initiate a data migration project and are looking for additional guidance. Cutting right to
Fuzzy Matching 101: Cleaning and Linking Messy Data
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
8 Benefits of Data Matching that Can Help You Grow Your Business
Today, business growth greatly depends on how effectively you can harness information. And while the average number of applications businesses use increased from 843 in
Data Deduplication for Government Agencies: Risks and Solutions
For most companies, duplicate entries can signal warning signs of potential missed revenue targets, negative brand perception, and poor campaign response. For government agencies, however,
Why an Address Matching Software is Better Suited for Improving Mailing Accuracy
Matching addresses to assign location coordinates is vital for lead or customer outreach campaigns or shipping orders for businesses. While scripting methods can be used
Using Data Scrubbing Software for Enterprise-wide Data Consistency: A Detailed Guide
Ever found yourself in the middle of a campaign or regulatory compliance report only to find your efforts wasted by the sheer number of typos, omissions, system-led errors and varied formats due to
Record Linkage in Education Sector: Challenges, Limitations, and Tips to Improve Data Accuracy
Record linkage is often a necessary component to effectively execute different educational initiatives. Whether it is measuring the performance of students and teachers overtime and
Data Quality Testing – A Quick Checklist to Measure and Improve Data Quality
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!
4 Ways List Matching Software Tools Can Jumpstart Your Marketing Campaigns
Name and address data are critical for determining the accuracy of a company’s market and customers, and in turn, their product positioning. Banks, healthcare providers
Achieving High Precision Data Scrubbing with Advanced Name and Address Transformations
Name and address data is critical to determining the accuracy of a company’s market and customers, and subsequently, their product positioning. Banks, healthcare providers and
Name Matching Challenges: How Much Do Financial Institutions Lose Due to Unresolved Customer Identities?
In 2023, businesses lost an average of 31% of revenue due to bad data. It wasn’t the first time – poor data quality continues to
