Location data is a fundamental component for businesses to keep a track of their sales territories, customer’s addresses, store locations, delivery routes, and other assets locations. Analyzing and integrating this data into enterprise resource planning (ERP) system or customer relationship management (CRM) system will improve operational performance and offer a competitive advantage to businesses by getting clearer insights on customers’ behaviors and generate new business opportunities.
Insurance companies, on the other hand, use location intelligence to simulate risk and verify claims. Geospatial data visualization allows insurance underwriters, actuaries, and claims professionals to micro-analyze risks in certain location, which can help limit damages and minimize payouts. Similarly with banking and other financial services, location intelligence is used to detect fraud pattern and mitigate such risks.
Today, car manufacturers are investing in big data and analytics technology that helps capture and analyze telematics information in real-time data with the corresponding data from nearby vehicles. Weather conditions and other location-based data allows traffic managers or monitoring services to detect emergency events and send alerts to emergency responders. This integrated emergency support system can also be linked to road authorities, hospitals, insurers, and other stakeholders to cut down response time and avoid further damage.
The seminar will bring mainstream business stakeholders from sectors like retail, real estate, insurance, banking, automotive, healthcare, logistics, advertising and others, to discuss how they’re leveraging on location data and analytics to improve business performance.