Back in 2006 when Mathematician Clive Humby coined the term ‘Data
is the new Oil’, the world was just beginning to realize the true value of data
that is accumulated in different forms. Today, however, data intelligence is at
the heart of every domain with everyone scrambling to unlock the hidden secrets
behind the data. The insurance sector stands out as an early adopter of data
intelligence with many examples of corporations as well as agents using data in
the underwriting.
With recent technological advancements such as predictive analytics, many organizations are leveraging the data to improve customer experience. Due to the huge amount of data that is captured on a daily basis in any insurance company, mastering the data by leveraging the right technology has become increasingly important. As this data continues to hold vital information, presenting the patterns in a manner that makes it easy for the stakeholders to make informed decisions. This is where a data visualization platform can become the differentiating factor between your insurance company and its competition in the market.
Importance
of Data Visualization For Insurance Companies
Identifying Risks
The importance of data visualization is well highlighted by the saying ‘a picture is worth a thousand words’. Showing the trends by leveraging data is helping insurance companies to spot risks and act on them in a timely manner. With the help of a robust data analytics and visualization platform like ITLytics, claims specialists and sales agents can analyze data that is from the customer, interactions to flag credible risks, and avoid cancellations.
Claims Analysis
A typical insurance provider will have a variety of different claims being filed
by customers on a daily basis. From automobile users to physicians, these
claims are filed from different sources such as mobile applications, web, claim
agents, etc. A data visualization software such as ITLytics has the
power to light up the hidden insights and provide stakeholders of the company
to analyze the success ratio of claims filed under different categories. With
the right visualization template, the decision-makers can also analyze and
predict future patterns with respect to the percentage of claims being closed
via digital platforms and compare them to physical claim settlements.
Fraud Detection
For any insurance company, dealing with claims that appear to be
fraudulent is one of the most time-consuming tasks that the claim analysts have
to engage in on a daily basis. Recognizing the common patterns via data analytics tool in the past fraud
cases can empower the insurance officers by enabling them to rightly identify
fraud cases and fasten the investigation process by as much as 5 times.
Premium Forecasting
The biggest advantage of leveraging technology is that it saves
time and fast-tracks decision-making resulting in a huge amount of money being
saved. For insurance policies that employers buy, historical data has always
been useful when forecasting premiums for the employees. By factoring in
different parameters like age, gender, health status and region, users can
easily create reports using data visualization tools to see past data and
project costs of the premium.