Data Provider

As businesses continue to rely on data for making strategic decisions, the role of data providers becomes increasingly important. A data provider is a company that collects and supplies data to other businesses or individuals. There are different types of data providers including data aggregators, data brokers, data management platforms, and more. In this post, we will answer the most popular questions about data providers.

What is a Data Aggregator?

A data aggregator is a company that collects and compiles data from multiple sources into a single database. The data can be used for market research, analytics, and other purposes. Some examples of data aggregators are Nielsen and comScore.

What is a Data Broker?

A data broker is a company that buys and sells data. They collect data from various sources and then sell it to other companies or individuals. Data brokers may also analyze and package the data before selling it. Some examples of data brokers are Acxiom and Experian.

What is a Data Management Platform?

A Data Management Platform (DMP) is a software platform that collects, organizes, and analyzes large amounts of data from various sources such as websites, mobile applications, or social media channels. DMPs help marketers target specific audiences with personalized messages. Some examples of DMPs are Adobe Audience Manager and Oracle BlueKai.

What is Data Mining?

Data mining is the process of discovering patterns in large datasets using statistical algorithms or machine learning techniques. It helps companies uncover hidden insights in their data that can be used for decision making or predictive analytics.

What is Data Quality?

Data quality refers to the accuracy, completeness, consistency, timeliness, and relevance of the data. Poor quality data can lead to incorrect decisions and wasted resources. Data providers need to ensure that their datasets are accurate and up-to-date.

How Can I Choose the Right Data Provider for My Business?

Choosing the right data provider can be a challenging task. You need to consider the type of data you need, the quality of the data, and the cost. It's important to do your research and compare different providers before making a decision. You may also want to consider working with a data management company that can help you choose the right provider and manage your data.


  • Data Mining: Practical Machine Learning Tools and Techniques by Ian H. Witten, Eibe Frank, and Mark A. Hall
  • Data Quality: The Accuracy Dimension by Jack E. Olson
  • Data Management Platforms Explained by Marketing Land
  • Data Aggregation Processes for Statistical Reporting by Eurostat
  • The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling by Ralph Kimball and Margy Ross
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