Combining our expertise in data science and people movement, we have established a team with leading industry experience and analytical knowhow to help O2 monetise their mobile network data. The methodologies developed protect personal data by anonymising user IDs and we report at an aggregated level.
The methodologies developed protect personal data by anonymising user IDs and we report at an aggregated level. We are not able to identify individuals or access any other personal information as part of our work with O2.
We have delivered high value data insights for clients across a range of sectors including Transport, Retail, Insurance, Out of Home Media, Healthcare and Town Planning.
Transport - Use a variety of spatial analyses to provide inputs into transport modelling processes e.g. demand matrices for a specified network or region.
Retail - Provide detailed insights to support retailers to better understand the performance of their assets and the profile of individuals that are using them.
Out of home media - Inform clients of the profiles of people that use specific area or pass areas of proximity to out of home media sites
Insurance - The pricing of car insurance policies is traditionally based on home location, driver experience and the driver record. O2 data is used to assess the risk profile of a driver, based on the types of roads used and the time of day journeys are undertaken.
Healthcare – Using data to understand the catchment of A&E departments. Data was captured by O2 small cells installed in hospitals, detecting A&E visits. The itineraries of detected users were assessed, to understand whether there were patterns, including the attendance at recent major events.
Town Planning – Housing corporations wanted to assess the demographic mix and travel behaviours of existing residential areas. Insights from network data were used to inform the planning decisions taken by affordable housing corporations, who are seeking to deliver new homes to specific demographic bands.