Skip to main content

Benefits of Business Intelligence in the Insurance Industry

 BI Facilitates Predictive Modelling

Apart from storing data and generating reports, some companies are using BI in more transformative ways. Predictive analysis is one of the most unique benefits, and it will likely become the new industry-wide standard in the next few years.

Machine-learning algorithms use past insurance claims to predict customer behaviour and incidents of fraud. These predictive models are above the actuarial models currently used throughout.

Insurance companies also must collect this data regularly to make the best predictions. Moreover, the data can be outdated or even inaccurate, especially if you’re basing predictions on self-reported customer surveys.

Artificial intelligence (AI) and machine-learning models generate a specific predictive “score” for every claim. The more claims that an algorithm is fed, the more accurate the scores become over time.

Insurance companies use this BI tool primarily for:

Underwriting risk

Financial projection

Product profitability models



Benefits of Business Intelligence in the Insurance Industry

Business Intelligence has a wider adoption rate across the globe by businesses. Almost every industry and business function reaped the benefits of it and hence the same with the insurance industry. Companies that use BI service applications and tools have many advantages over those that don’t, including:

Combat Fraud

Build Efficiency into Claims Management

Identify dark and hidden opportunities

Better Enablement of Sales teams

Summary:

Having access to business intelligence and analytics is crucial for any insurance company craving to succeed in this highly competitive industry. The ability to turn large volumes of raw data into actionable insights showcases a significant value proposition for these businesses. These insights can be invaluable in terms of the endless opportunities they can unearth across the business.

About Saxon:

It all comes back to good data. We’ve got you covered for any data project across verticals. Our comprehensive business intelligence consulting services inclusive of Power BI solutions, Data Visualization, Dashboard Design & Development along DBA support services can help.

Our experts help you to discover how to unlock the true potential of the data and let you take the next step in choosing the right tool and technology for any of your data applications.

 

Comments

Popular posts from this blog

Data Mesh vs Data Lake – Driving Business Insights at Scale

  Data is now the soul of every digital business, and the pandemic has accelerated the adoption of Analytics and AI as a business function. Over the past few years, organizations had to rapidly move to new data technologies, modern data architectures, and infrastructure to drive innovations such as personalized product recommendations and predictive analytics. Despite such changes, collection, integration, and governance of data is still the main inhibitor to Analytics and AI success, says   Deloitte Research . The evolution of business insights platforms can be fragmented into three generations, as per  Zhamak : Organizations deployed traditional data warehouses in the first generation to generate reports as per the need. This was very expensive and lacked a centralized approach.  As Big data and analytics gained popularity in the second generation, data warehouses were replaced by a central data lake. Though this became very popular, a few bottlenecks like data vol...

Applied AI is a rose – understand the thorny challenges

  Applied AI – the application of AI technology in business, is skyrocketing. An   Accenture report on AI   revealed that 84% of business executives believe that AI adoption would drive their business growth.   Applied AI   empowers businesses with end-to-end process automation and continuous process improvement for greater productivity and profitability. However, applied AI is like a rose garden. AI-powered business applications are enticing, but you should be aware of the thorns surrounding the flowers. You need to use frameworks such as Responsible AI while embracing AI for your business. You should understand potential risks such as adversarial attacks and data poisoning. Understanding these concepts will help you address common hiccups in AI adoption for business before they choke your initiatives.  Responsible AI   Artificial intelligence is powerful. When used responsibly, AI can be a solution to many problems and change the world. It can be the...
  Business Growth Triad – Apps, Automation & Analytics Growth — for some, it’s a breezy long drive; for some, it’s a roller coaster ride; and for many, it’s a belly flop. When you are thinking about business growth, you must also plan to sustain growth. You need agility, resilience, and efficiency at the core of your operations. In the digital era, it’s never challenging to attain these capabilities. Let’s discuss three digital initiatives that help you drive success. Enterprise Applications Business growth brings more work and more challenges. In 2021, department stores generated 35% of their annual sales during  the holiday season  alone. That’s an excellent opportunity to build a loyal customer base and generate revenue to nurture more growth opportunities. On the other hand, it’s also a challenge for retailers to cope with the demand. They need more sales associates to help customers. More back-office staff to replenish goods. A sophisticated system to get a big p...