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Improve the quality of your customer data today.
The goal of data enrichment is to make your data a more valuable asset – when you get more out of it, you can do more with it. By enhancing your data with geographic, demographic, psychographic, and firmographic data elements, you can realise benefits such as:
Data enrichment is the process of enhancing, refining, or improving existing or raw data by adding additional information to it. The goal of data enrichment is to make data more valuable, comprehensive, and useful for various purposes such as analysis, decision-making, and business intelligence. This additional information could include a variety of attributes, such as demographic details, geographic data, social media profiles, company information, or any other relevant data points.
Assign precise latitude and longitude coordinates to UK and international postal addresses.
Find the geolocation of an IP address including latitude, longitude, city, region, and country.
Add detailed demographic elements including financial, household, and lifestyle data for new insights.
Augment your B2B records with data like industry, revenue, location, sales volume, and more.
Update and complete contacts by adding missing name, email address, phone number, and postal address.
Melissa’s data enrichment service helps you get more out of your customer data. We start by validating the contact data you have such as names, phone numbers, mailing addresses and email addresses - then we clean, append, and enrich your data, adding selective elements like up to date.
Melissa's Data Quality tools help organisations of all sizes verify and maintain data so they can effectively communicate with their customers via postal mail, email, and phone. Our additional data quality tools include
Data enrichment is important because it improves the quality of data, leading to more accurate insights and better decision-making. It also enhances customer understanding, personalisation, and the effectiveness of marketing efforts.
Data enrichment can add a variety of information, including demographic details, geographic data, company information, and any other relevant data points that contribute to a more complete dataset.
The frequency of data enrichment depends on the specific needs of an organisation and the nature of the data. Some businesses may require real-time updates, while others may find periodic enrichment sufficient.
While businesses often use data enrichment for marketing, sales, and customer relationship management, the concept is applicable in various fields, including research, healthcare, finance, and more, or wherever data quality and completeness are crucial.
Improve the quality of your customer data today.
Discover Melissa APIs, sample code & documentation.
Full-service data cleansing to clean, dedupe and enrich.
A free trial of our standout verification services.