Basically, banking, finance and insurance is a location driven business where proper use of location intelligence and analytics can help the industry to better manage branches, distributed workforce, risk, client service, customer acquisitions, partners and merchants. With location intelligence and analytics, banking, insurance and financial institutions can analyze and visualize market data, overlay with existing customer data to make better decisions, reduce risk and delight their customers.
Dista insights for BFSI offers maps based visualization, predictive analytics and artificial intelligence to provide personalised experiences, enhance on-boarding processes and optimize networks.
Problems solved by BFSI insights
Benefits of BFSI insights
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Features of BFSI insights
Branch performance analytics
Improve customer experience with geo-targeted schemes and demand driven staffing by map based visualization for footfalls, customer experience, customer churn, conversion rates, dwell times for retail banking networks.
Get visibility into your leads and gap analysis with performance by product type, sales rep, territory, lead status on a map, to calculate agent efficiency and plan course correction.
Get actionable insight on receivables with delinquency data by region, product type, days overdue, frequency of defaults in a map based view.
Dealer network management
Identify missing agencies / distributors / brokers /dealers in your network and reach-out to empanel them.
Discover the best locations for setting up new branches, onboarding new agents by shortlisting high potential areas based on demographics, affluence, places of interest and level of penetration.
Branch / ATM relocation
Uncover new locations to relocate existing ATMs or branches to improve penetration, tap new audience, improve service etc.
Track market development, unserviced areas and competition.
Optimize your retail network by relocating / closing branches in the city to decongest over-serviced areas and efficiently allocate field reps to leads / service cases based on grids.
Area risk profiling
Fast track approvals / rejections using affluence data, existing delinquency levels, business establishments in vicinity etc. to pinpoint high risk (negative) areas where prospects would not qualify for credit approval.