Data Analytics

Placekey Announces Relationship with Data Analytics Vendors

data analytics

Placekey, the free universal location identifier for places, today announced a strategic relationship with First American Data & Analytics, a division of First American Financial Corporation (NYSE: FAF) and a leading global provider of property and ownership data and advanced analytic solutions.

Placekey launched last year with the support of over 500 organizations and is now establishing a series of high-profile partnerships, among them, Experian and Snowflake. This new relationship with First American Data & Analytics leverages the use of Placekey’s free universal standard identifiers across datasets ranging from tax assessments, foreclosures, county recorder, property valuation, and real estate listings. By doing so, First American data is now available for other vendors and users to access.

The unique identifier can be used to join First American Data & Analytics datasets with other vendor’s datasets to empower businesses to make informed lending and real estate decisions. Most addresses are formatted differently across multiple datasets, which makes it difficult to merge or join. Placekey solves this challenge by creating and sharing a unique identifier for each line of data. The datasets can compare data points, recognize the unique identifier, and seamlessly join attribute data.

“By pairing our datasets to Placekey’s unique identifier, we are helping solve a large industry problem by making nationwide property data more readily available in an easily-consumable way. It will ultimately help reduce friction, minimize errors and improve the speed of data updates,” said Matt Key, director of sales, First American Data & Analytics.

First American is also appending Placekey’s unique identifiers to improve the product experience with other Placekey vendors like Geospatial Insurance Consortium (GIC) and parcel data vendor, Landgrid. By normalizing addresses that previously took hours and hours to clean up, data can be easily joined across datasets. Vendors can now be more efficient, saving them time and money.

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