Data Aggregator Service - Submit, fix, and enhance your listings on InfoGroup, Neustar Localeze, Factual, and Foursqaure (2024)

FAQs

What is data aggregator submissions? ›

A local data aggregator is a platform that submits business data to a network of citation sites. They act a little like a marketplace that trades business information, and can make citation building a quick and easy process.

Data aggregators work by combining atomic data from multiple sources, processing the data for new insights and presenting the aggregate data in a summary view. Furthermore, data aggregators usually provide the ability to track data lineage and can trace back to the underlying atomic data that was aggregated.

The four major data aggregators are Factual, Acxiom, Infogroup, and Localeze. It is noticeable that many listings sites and major directories rely on these data providers for their info. Data aggregators are the foundation of what builds structured citations on major sites.

Data aggregators are centralized platforms in the local search ecosystem. Aggregators collect and distribute business data to a wide range of search engines, apps, navigation systems and other sites that require accurate information about local businesses.

Know the Risks

These include potential vulnerability to cyber fraud, unauthorized transactions and identity theft. These risks are especially heightened for aggregators that use screen scrapers and require you to share your security credentials.

A process in which data is searched, gathered, and presented in a summarized, report-based form, data aggregation helps organizations to achieve specific business objectives or conduct process/human analysis at almost any scale.

Data scientists and analysts are the most common users of data aggregation tools and data aggregation software. Working with vast amounts of raw data without a summarized format is quite difficult. It doesn't provide actionable insights and, therefore, doesn't help your business.

A high level of aggregation in your data conceals differences between and among important subgroup categories. If you analyze a given metric at the wrong level of refinement or detail, chances are you'll fail to take the appropriate action.

Risk Data Aggregation refers to defining, collecting, and processing risk data in accordance with the bank's risk reporting requirements for the bank to compare its performance to its risk tolerance/appetite. Breaking down, sorting, and merging data and datasets are all part of the aggregation process.

Our data aggregation solutions can help your organization maintain the accuracy of customer records, reduce errors and avoid costs associated with bad data.

How do you make a data aggregator? ›

Data Aggregators

This is typically done by giving a data set to the data supplier, who then enhances the data and returns it to the client. Another method for providing aggregated data is through a query-and-delivery process.

Service aggregators reach out to businesses or entities on their website and enable customers to avail the facilities from their application/website. Online cab applications can be considered as a case of such aggregators.

An SMS Aggregator (sometimes called an SMS Gateway) is an organization with the technology to collect or 'aggregate' a large volume of text messages from brands and distribute them to wireless carriers (AT&T, Verizon, etc.)

Aggregate data is defined as data that has been collected and combined from multiple individuals from a population and then is used to create a statistical report that makes inferences about the population.

Examples of data aggregation

Businesses frequently gather large amounts of data about their online customers and other website visitors. In the case of any company that sells a product or service online, aggregated data might include statistics on customer demographics (e.g., gender, average age, location, etc.)

In the context of Google Sheets, aggregation is the process of summarizing tabular data. You can aggregate/summarize tabular data in Google sheets by calculating the sum, average, maximum, minimum, median, etc. of all the values of a field.

With record aggregation, you aggregate the records of one object (such as benefit assignment) and associate them with the relevant record of another, unrelated object (such as party relationship group).