Every policy is influenced by location - from underwriting to disaster response. Whether it’s catastrophe modeling, fraud detection or risk analysis, both Insurance & Reinsurance companies rely on spatial analysis to manage their portfolio before, during, and after events.
Digital players are putting extensive pressure on banks to up their game and consider more location-based factors in the consumer banking experience. Whether it’s optimizing ATM and branch locations, making more data-driven mortgage decisions, or targeting marketing campaigns for new financial products - the bank of tomorrow needs to consider the spatial context of their clients.
With the rapid growth of FinTech, contactless payments & consumer trends around “digital wallets”, credit card issuers & networks now gather extreme volumes of Big Data relating to customer transactions & patterns. Whether you need to improve internal spatial analysis of such datasets, or monetize them externally - location-based analysis is critical in your process.
Private equity, ESG, pension & hedge funds (among others) are turning to Spatial Data Science to gain a competitive edge in the screening and portfolio management phases of the investment cycle. Whether it’s Real Estate, Retail, and or network / infrastructure investments - savvy investors see the opportunity in spatial data.