Name and address data is critical to determining the accuracy of a company’s market and customers, and subsequently, their product positioning. Banks, healthcare providers and
In 2023, businesses lost an average of 31% of revenue due to bad data. It wasn’t the first time – poor data quality continues to
Imagine a doctor trying to retrieve a patient’s medical history, but instead of one accurate record, they find three profiles – one with an outdated
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
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Data Ladder offers an end-to-end data quality and matching engine to enhance the reliability and accuracy of enterprise data ecosystem without friction.
