Geospatial or mobility data has emerged as a form of valuable alternative data for financial institutions. It allows banks, hedge funds, lending services, and insurance providers to identify trends before they are reflected in the quarterly earnings reports, as well as to better serve retail finance with site selection, footfall data, and more.
The analysis of mobile location data can offer deep insight into industry trends and consumer relationships and the activity of competitors. In addition, by studying human migration patterns, investors can identify new investment and expansion opportunities. Ethically sourced, anonymised mobility data can also help build contextual risk profiles while helping balance social inequalities without breaching people's privacy.
Analyze movement patterns and unlock valuable insights on how people move around the physical world
Quadrant's mobile location data helps financial businesses understand movement patterns in specific geographical regions of interest. The insights drawn from the analysis of this data allow them to predict future trends before they became visible for the majority of market participants. Location data is extremely valuable for financial services to benchmark and compare the performance of their assets against those of their competitors. Using origin-destination analysis in context with demographic, transaction, POI, and other alternative data, financial businesses can effectively mitigate risk, understand consumer behaviour better, and run profitable operations.
Study consumer movement for site selection of POSs, assess competition, and optimise marketing ROI.
Identify emerging trends for new investment opportunities and utilise predictive analysis to estimate returns.
Assess and mitigate risks in credit scoring, lending, insurance, and spot trend reversals before anyone else.
Leverage anonymised, legitimate GPS signals for accurate analysis while staying compliant with privacy regulations.
Use mobility trends in high-risk geographies for fair yet turnover-friendly policy terms and premiums.
Reduce bad debt and market risk while catering to vulnerable, underprivileged, and underserved social groups.