RESOURCE CENTER

Complete data quality hub

Featured Resources

Data Quality Management: What, Why, How, and Best Practices
data quality management framework concept

“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.”...

Fuzzy Matching 101: Cleaning and Linking Messy Data
data matching with DME data profiling

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...

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!...

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!...

Data Ladder Adoption Plan

At Data Ladder, our motto is to Help You Get the Most Out of Your Data. This starts with our team of data cleansing and

Understanding data security in DataMatch Enterprise

DataMath Enterprise Security Documentation Overview The framework for developing an enterprise application has always been based on meeting customer requirements for integration, and interoperability with

Microsoft Dynamics Sales connectors

Microsoft 365 Sales Drivers Resources Dynamics 365 Sales ADO.NET Provider Dynamics 365 Sales BizTalk Adapter Dynamics 365 Sales Excel Add-In Dynamics 365 Sales FireDAC Component

Getting Started with DataMatch Enterprise

Data Quality Management in DataMatch Enterprise DME takes you through the data quality management journey in the following stages: Data Import Connect and load data

Curtin study comparing record linkage accuracy

Detailed tests were completed on 15 different product comparisons with the university, government, and private companies (80K to 8M records). Download this comparison chart to

Best practices for using DataMatch Enterprise

Data Quality Management in DataMatch Enterprise DME takes you through the data quality management journey in following stages: Data Import: Connect and load data from

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

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