Data analytics is revolutionising the Indian insurance industry, and companies quickly realise the need to adapt digital transformation for better growth and enhanced customer satisfaction.
Collecting a humongous amount of manual data that gives insurers access to customer perceptions is challenging. But as insurance companies are mainly data-driven, using data analytics to gain accurate data for increased workflow efficiency has become a necessity.
So, to deliver optimum business performance, utilising the data patterns obtained from data analytics can be highly beneficial for insurance companies. It will not only mitigate risks but also enhance their overall growth.
What is Data Analytics?
Data analytics refers to the analysis of collected raw data from which insightful inferences can be drawn. It enables organisations to accurately analyse real-time, unstructured, structured, historical, and qualitative data to identify precise data patterns quickly.
These meaningful interpretations help organisations generate valuable insights to automate decision-making and increase workflow efficiency. In addition, it encourages companies to become more adaptive to digital technologies and innovative methods.
How Does Data Analytics Influence the Indian Insurance Industry?
The influence of data analytics on the Indian insurance industry is hard to overlook. Over the last few years, insurance companies relying on data analytics have tremendously benefited in various aspects such as fraud reduction, risk profiling, claims management, and more.
So, here we will discuss how data analytics impact the critical operational processes of insurance businesses.
Facilitates Better Claim Management
With data analytics, insurers can easily extract and process data from multiple sources and determine the hidden trends. This, in turn, makes it easier to detect whether the claim is legitimate or not when customers raise a claim request.
Also, data analytics can be highly beneficial for handling long-tail claims. The automated analysis of claim histories enables insurers to predict the overall cost, which further helps them estimate the amounts for instant payment and future claims.
Manual data collection, processing, and analysis become difficult while managing multiple claims simultaneously. So, equipped with AI capabilities, data analytics automate the entire process by offering real-time updates and reducing manual labour.
Detects and Prevents Fraudulent Claims
The insurance industry continues to be troubled by fraud claim issues. As per reports, Indian insurance companies lately lost over $6.25 billion to frauds.
Hence, most companies started implementing data analytics to detect fraud probabilities and prevent massive financial loss. Expectedly, this digital adoption significantly mitigated the risks of fraudulent claims and increased their business efficiency. How?
Well, based on historical and third-party data, predictive analytics easily detects claims having dubious traits or patterns and flags them. Also, as data analytics facilitate real-time data monitoring on an extensive set of data obtained from digital channels and social media platforms, fraud prediction and detection becomes faster and more accurate.
Improves Risk Assessment and Underwriting
Most insurance companies find underwriting and risk profiling a complex and time-consuming process. But advanced data analytics can enhance risk assessment and improve the underwriting decision quality.
Data analytics aids in the effective management of a huge volume of data obtained during the underwriting stage of a policy. Also, it helps detect discrepancies, if any, in the gathered data.
Besides, AI-based data analytics can easily measure the data parameters related to risks and determine the key risk indicators for better risk profiling. It acts as a data feed layer in every phase of the risk management process, offering accurate risk predictions, speeding up the underwriting process, and enhancing the overall workflow efficiency.
Enhances Customer Experience
Data analytics gives insurance companies valuable insights into their customers' interests and expectations. Through effective analysis of customers' buying and behavioural data, they can offer every consumer personalised services.
Nowadays, most customers expect 24x7 online assistance from their insurers. Hence, chatbots come in handy in such cases. Being data-driven and integrated with predictive analytics features, conversational chatbots can efficiently respond to customers' queries, guide them to find the right insurance policies, address their claim requests, and perform many more tasks.
So, data analytics help insurance companies understand the prospective needs of their consumers, making their business more customer-centric and leveraging the end-user experience.
With the large-scale digital transformation of the insurance industry, insurers must strive to use their best efforts to stay relevant in the future by meeting the evolving demands of their customers. So, data analytics can keep insurance companies updated about their customers’ changing requirements and enhance their business growth.