Data Update: Continuing The Quest For Cross-Border Data

Data update: 95+ million UK records added to our Identity Graph, and significant improvements in Brazil, Mexico, and Canada data
As the global eCommerce market is projected to reach $4 trillion by 2020, we continue our mission to provide our customers with the highest quality global identity data available. Cross-border eCommerce transactions are still riskier than domestic ones, so Ekata recognized and focused on the need for local knowledge and regionalized best practices for companies conducting business across borders.
Just last week, we released our 5th big data version of the year which was focused on two major objectives: to grow cross-border coverage with a major focus on the UK, as well as Mexico, Brazil, and Canada and to create online and offline links between people and their identity data.
In the UK we added:

  • 33 million people
  • 36 million name to address links
  • 19.5 million name to phone links
  • 6.8 million name to email links

Growing the number of online and offline links
Our newest release significantly increased the number of people that are now linked to both an online and offline data attribute (such as email, phone, and/or address). Why is this important? It is one of the foundational components of how our products are able to accurately predict risk and fight fraud. The number of people that are now linked to both an online and offline data attribute (email, phone, and/or address) was increased by:

  • UK – 85%
  • Brazil – 26%
  • Mexico – 45%
  • Canada – 6%

Sourcing cross-border digital and traditional data identity data has an array of intricacies and challenges with availability, accuracy, and regulation varying by country as well as by attribute. In spite of these ever-present challenges, market demand for access to this data still remains. We rigorously vet and test our data sources before integrating them into our Identity Graph. Read about the top 10 data questions we get asked to get the inside scoop on where our data comes from, how it stays up to date, its accuracy, and more.

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