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!...
Why in-house data quality projects fail
The State of Enterprise Data Quality Causes for Poor Data Quality Introduction The decision to build a software application in-house becomes almost a knee-jerk reaction
Using Data Ladder’s record linkage in enterprise level healthcare systems
Any research initiative to resolve pressing health service and policy issues requires access to accurate, complete, valid, and consolidated patient and organizational data. Despite the
Role of data matching in implementing and enhancing interagency SLDS
The Statewide Longitudinal Data Systems (SLDS) grant allows State educational agencies to, “design, develop and implement statewide, longitudinal data systems to efficiently and accurately manage,
Identity resolution for government and public sector institutions
Match records across disparate systems, datasets, and jurisdictions and enhance operational efficiency with identity resolution solutions for government and public sector institutions Duplicate and inaccurate
How to get the data you need to build a unified, 360 customer view
You invested in big data technologies thinking it will help you understand your audience better. You switched to smart CRMs, hired data scientists to help
How to ensure a successful CRM migration
You’ve tested out the migration process with sample data and it went well, so now you decide to go through with the actual migration. And
How legacy systems and bad data quality hinders a digital transformation plan
Introduction Cloud. Automation. Analytics. With the rapid influx of tech developments and trends that affect business, organizations are doing everything they can to embrace digital
How best-in class fuzzy matching solutions work: Combining established and proprietary algorithms
Data is no longer just records of customer names, contact numbers, or addresses. It’s a combination of information obtained from multiple sources and it’s mostly
Establishing data quality standards for business success
Does your data look like this? Do you have data stored in Salesforce, Fusion, Excel, and other asset management systems? Do you have entries with
ready? let's go
Try now or get a demo with an expert!
"*" indicates required fields
