All Resources
A Quick Guide to Record Linkage Software
To understand the complete customer story and extract benefit, it is necessary to integrate and merge data such that each record represents a single entity.
The Importance of Data Cleansing and Matching for Data Compliance
Data compliance standards (such as GDPR, HIPAA, and CCPA, etc.) are compelling corporations to revisit and revise their data management strategies. Although each standard enforces
Using a self-service tool for data preparation
Data cleansing and data preparation are not the same. When you are cleaning data, you are removing inaccuracies, invalidities, and junk from it. But when
Using Data Matching to Resolve Identity Resolution Challenges
Consumers interact with a brand through hundreds of touchpoints across devices, platforms, and channels. During the buyer’s journey, consumers use 3-4 internet-connected devices. And by
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.
The Duplicate Data Dread – A Guide to Data Deduplication
Duplicate data is a serious problem that affects an organization’s insights, eats up expensive storage space, messes up customer information & leads the business into
Comment identifier les données manquantes, assurer l’exhaustivité des données et maintenir l’exactitude de vos données ?
Les données du monde réel auront toujours des valeurs incomplètes ou manquantes, surtout si elles sont recueillies auprès de plusieurs sources. Des données incomplètes peuvent
How to Identify Missing Data, Ensure Data Completeness & Maintain the Accuracy of Your Data
Research shows that businesses can lose up to $3 of every $10 of revenue due to poor data quality. With incomplete data known to be
What is Data Accuracy, Why it Matters and How Companies Can Ensure They Have Accurate Data.
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
