Losing health, property and above all, life, is a serious affair and filing insurance claims further has turned out to be tiresome and time-consuming process. As time plays a key role, in getting the claims verified and money disbursed, every brand tries to retain and grow its customer base, by providing a swift and proficient service, but every time what delays the process is the mutual eye on profit, which sometimes need to be underwritten, and thus is vital for every insurance provider to make sure the claims processing is effective and efficient. With the technology improvements playing disruptor in every industry, it is high time for the insurance companies to automate the claims processing and GIS (Geographical Information Systems) can be one of the most reliable options, which leverages the visualization, data management and analysis to the core, empowering the claim adjusters to serve better.
The riskiest of the claims is property related damages and this needs to be handled with precise data as it has the capacity to turn a insurance company bankrupt. Visually and manually probing large datasets is not only time consuming but is exasperating and cannot be accurate. Change detection via 2D & 3D imagery and DSM (Digital Surface Model) datasets has not only been popular but is one of those GIS services on which the insurance companies rely upon these days. The 2D change detection process constitutes analysis of textural, spectral and linear feature changes in orthoimage data sets mapped at different intervals, helping the user to locate the areas of change with utmost precision and accuracy. On the other hand, the 3D change detection relies on DSM which helps in identifying the areas of changes especially in the vertical plane and is highly applicable in
the field of agricultural properties.
Geo-enabling the insurance business data is crucial and is the need of the hour as it relies on intuitive mapping and various analytical tools helps the user to access the hazardous location on a global base, associate the loss severity with topography and access historic data counting customer information and risk. The remote sensing technique, which relies on sensors placed on satellites helps in capturing geographical images, enables manipulation, visualization and analysis, and is extensively being applied in the banking and insurance sectors. Damage detection, both to the property or the crop can be accessed instantly and precautions can be made possible at the earliest hours. With the help of the images sent by the satellite, the insurance companies can keep their customers posted about the changes in the property and also about the crops, when it becomes
applicable in the field of agriculture. The customers on the other hand can take intuitive measures based on the alerts and can avoid a mutually chancy stance.
Faster and accurate processing of the insurance claims using GIS technology results in satisfied customers and protects insurance companies from false claims resulting in a win-win situation for all parties concerned. SBL has been working with insurance companies and their associated companies in processing geographical data to assess and verify claims against property and crop damage for more than 5 years now. Our USP is fast turnaround and accurate mapping and analysis which results in huge savings and transparent operations for the insurance companies.