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The Importance of Data Cleansing and Matching for Data Compliance
Last Updated on December 9, 2025 Data compliance standards (such as GDPR, HIPAA, and CCPA, etc.) are compelling corporations to revisit and revise their data
Using a self-service tool for data preparation
Last Updated on December 9, 2025 Data cleansing and data preparation are not the same. When you are cleaning data, you are removing inaccuracies, invalidities,
Using Data Matching to Resolve Identity Resolution Challenges
Last Updated on December 9, 2025 Consumers interact with a brand through hundreds of touchpoints across devices, platforms, and channels. During the buyer’s journey, consumers
How to Improve the Quality of Householding Data and Better Understand Your Customers
A household consists of multiple separate accounts that belong to individuals who are related and are physically living together.
A Guide to Data Deduplication – The Duplicate Data Dread
Last Updated on December 9, 2025 Duplicate data is a serious problem that affects an organization’s insights, eats up expensive storage space, messes up customer
How to Identify Missing Data, Ensure Data Completeness & Maintain the Accuracy of Your Data
Last Updated on December 10, 2025 Research shows that businesses can lose up to $3 of every $10 of revenue due to poor data quality.
What is Data Accuracy, Why it Matters and How Companies Can Ensure They Have Accurate Data.
Last Updated on January 5, 2026 Inaccurate data has real-world implications across industries. In law enforcement, inaccurate data could mean booking the wrong person for
Why Banks Need Powerful, Agile Data Preparation Solutions for Accurate and Timely Regulatory Reporting
Last Updated on December 10, 2025 Where there is data, there is regulation. Most of all in the financial industry. Banks, insurance companies and financial
Address Data Matching Does Not Have to be a Resource-Draining Challenge. Here’s How You Can Do it Better.
Last Updated on December 23, 2025 Address data is semi-structured, making it one of the most challenging components in a data matching activity. For long