Business Intelligence (BI) is a tool that uses procedural and technical infrastructure to collect, store and analyze data that is generated by a company’s activities and presents it in usable, actionable forms like dashboards, reports, charts and with which an organization can take strategic and tactical business decisions. =

It encompasses data mining, process analysis, performance benchmarking & descriptive analysis and presents the processed data in easy-to-digest reports, performance measures and trends for the management. BI combines core concepts like

  • Data analysis, used for extraction, Integration, and Interpretation
  • Data visualization. Graphs, charts, and diagrams,
  • Reporting capabilities. Dashboards, trends and performance

As per a report from FinanceOnline, over 46% of businesses use BI as their integral business strategy. The adoption and use of BI have increased significantly due to the Covid-19 pandemic as more and more companies resort to remote work and accessing data remotely is the key to making informed decisions. The benefits of using business intelligence make it an important tool for businesses in 2022 and the future.

Data is the currency of today’s digital world, and insurance companies generate volumes of it like actuarial data, market data, claims data, customer data, etc. This data when combined with business intelligence gives organizations an edge and can help realize huge business potential.

For insurance companies, BI plays an integral role in generating:

  • Dashboards
  • Reports
  • End-user self-service modules
  • Data mining

Some of the benefits of using business intelligence by the insurance companies are;

  1. Eliminating fraud- Insurance companies routinely face fraud cases and need to take steps and precautions to prevent it. Fraud affects insurance companies and insurance payers as well. Insurance premiums are often raised to recoup the losses by fraud and can result in negative customer experience and loss of customers.

    Business intelligence plays a pivotal role here, from identifying inflated claims to false information. identifying fraud and preventing it requires early detection and BI combined with predictive business analytics can be used. Predictive analytics can include artificial intelligence, machine learning, data mining & predictive modeling to provide alerts and insightful information by way of easy-to-understand visualizations and identify patterns that can point to fraudulent activity.

  2. Claims management- Claim compensation is an important part of the insurance business. Long claim processes can be frustrating and can create a negative customer experience. Efficient claim processing is a vital requirement for any insurance company which can result in increased customer satisfaction, minimizing loss and freeing the agent and company’s time for further fruitful business.

    Business intelligence provides insurance companies with a complete view of the processes of pending and open claims. Integration of customer relationship management systems (CRM) with business intelligence can give claim handlers detailed customer profiles which can be used to check prior claims and provide much-needed service. The use of such tools leads to very positive customer feedback and helps retain customers.

  3. Identifying opportunities- To ensure that they remain profitable and maximize revenue and earnings, the executives and agents of insurance companies must have useful information. Data analytics bundled with business intelligence can deliver useful and actionable insights into the business. Such visual information can be used to monitor market trends and take strategic business decisions. Analytics can also provide trends and also show which areas need more time and attention for increasing revenue and earnings.
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  5. Increasing sales team efficiency- The insurance business is extremely competitive and the sales teams are usually burdened with meeting and exceeding the given targets and goals. To monitor the performance of the individual agents and teams against territory and products business intelligence offers real-time reports. It can generate detailed visualizations of products offered, and individual and team performance. Such reporting can help companies focus on which products they need to focus more on, and which team or individual needs more attention while identifying growth opportunities.
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  7. Sales processes and underwriting- Business intelligence in insurance industry can provide a comprehensive view, using data visualization, of the different stages of the underwriting process along with views on individual steps in the process. This makes it possible to monitor, and analyze key points at each stage, highlight opportunities & identify bottlenecks.

    BI can help in selling products that give better revenue or upsell products and cross-selling by giving detailed insights into quotes required by the customers and thereby enabling the sales team to offer other products in a similar line. As an example, if a customer was looking to buy a health policy, he could be offered a home insurance policy and a personal accident policy. BI can segregate requests by segmenting them in terms of products, regions, industry etc.

  8. Opportunities using external data- BI can be used to pull data from external sources and analyze it to optimize existing processes and discover opportunities. Leveraging external data to present useful information to clients can enhance customer experience and create opportunities to upsell products.

Ultimately, business intelligence in the insurance industry can analyze huge volumes of data generated by the day-to-day operations and present actionable insights. Along with analytics, It can offer existing capabilities giving a comprehensive view of the business. It can help the insurance company to meet its business objectives.

Author's Bio: 

Kaushal Shah manages digital marketing communications for the enterprise technology services provided by Rishabh Software.