Why Fuzzy Address Matching Is Critical for Cleaner Lists
If the thought of address matching across half a dozen sources has crossed your mind before, you know it is anything but a walk in
If the thought of address matching across half a dozen sources has crossed your mind before, you know it is anything but a walk in
Any data professional will agree that having accurate, clean, and consistent data is critical for meeting business objectives. And yet, you will hear about only
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.
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
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
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
A household consists of multiple separate accounts that belong to individuals who are related and are physically living together.
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
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
Real-world data will always have incomplete or missing values, especially it is gathered from several sources. Incomplete data can result in flawed reports and skewed
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
Where there is data, there is regulation. Most of all in the financial industry. Banks, insurance companies and financial institutes must deal with a complex