What is Identity Linkage Data? Examples, Datasets and Providers

How is Identity Linkage Data collected?

External data providers typically compile Identity Linkage Data by using various sources, such as public records, credit bureaus, marketing databases, and social media platforms. They use algorithms and machine learning models to analyze the data and link it together, allowing for the creation of a more complete profile.

What is Identity Linkage Data used for?

Identity Linkage Data is used for a wide range of applications, including marketing, fraud detection, identity verification, risk assessment, and customer profiling. By linking different data sources together, organizations can gain a more accurate and complete understanding of their customers, and make more informed decisions based on this information.

What’s a quality checklist for Identity Linkage Data?

When evaluating the quality of Identity Linkage Data, companies should consider factors such as the accuracy and completeness of the data, the sources used to compile the data, and the compliance with relevant data privacy regulations. It is also important to assess the level of duplication and overlap in the data, as well as the relevance and timeliness of the information provided.

How is Identity Linkage Data priced?

The pricing models for Identity Linkage Data vary depending on the provider and the specific dataset being offered. Some providers may offer a pay-per-use model, where customers pay for each individual record or query, while others may offer a subscription-based model, where customers pay a recurring fee for access to a specific dataset or set of datasets. Other pricing models may include data licensing fees or revenue-sharing agreements, among others. It is important for companies to consider the pros and cons of each pricing model and select the one that best fits their specific needs and budget.