SAMPLE Intuizi De-identified Signals Dataset | Geospatial Mobility detail data - 94 Countries | ...

This de-duped Geospatial Mobility dataset is derived from first-party, consented, mobile app data. This data is de-identified prior to Intuizi processing it, and is the highest level, least aggregated dataset that we are able to provide to our customers.

Intuizi customers use this data for many purposes, primarily to understand - at as granular a level as possible - the mobility patterns of de-identified mobile devices in specific countries.

This is incredibly useful for understanding visitation patterns to specific locations in particular territories or regions.

Some of our customers may, in addition, have their own first-party dataset that they want to compare/contrast to a high-level set of de-identified data, thus enriching their existing dataset. They may want to compare visitation to (their own, or other specific) locations to those owned/operated by competitors; or understand where else the devices that show up in their owned/operated locations also happen to go. Please note: re-identification of an individual is contractually prohibited.

When processed against PoI data, it is used to generate our Visualisation Details Dataset, which is then used to create visualisations within our visualisation platform. It can also be further refined, for use as our Postal Origin or Country of Origin Dataset.

The Intuizi De-identified Signals Dataset comprises fully-consented mobile device data, de-identified at source by the entity which has legal consent to own/process such data, and on who’s behalf we work to create a de-identified dataset of Encrypted ID visitation/mobility data.