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B2B Data for Insurance

B2B Data for Insurance

Data Well Crafted as per your Need!

In a customer-centric sector such as the insurance industry, data accuracy is incredibly important.

Avoid data related risks with BizProspex

The insurance industry is all about avoiding risks and staying prepared for them at the same time. At BizProspex, we look after all the minute aspects of your data with human attention instead of a machine to make sure you stay at the top.

Data in the insurance industry is extremely essential and crucial to the process of information gathering by companies who indemnify those dependent on accurate coverage, and who want to improve customer communication and compliance issues. This is how insurance companies can benefit from using modern data mining methodologies to reduce costs, increase profits, improve their CRM and CCM compliance, retain current customers, acquire new customers, and develop new products.



The insurance industry is one of many worldwide which provides an important service. Millions of people rely on their insurance carriers to help them bounce back from unforeseen difficulties and calamities.

For example, in the United States, having health insurance is a must. Diagnoses, treatments, and necessary drug prescriptions are all chargeable. Therefore, households depend on reliable, precise insurance policies to fund their healthcare.

Below are a few further reasons why data integrity in the insurance sphere is so important.

Privacy and Data Liability:

In the age of data protection, insurance companies have the responsibility of care to protect sensitive information. Across Europe, for instance, this right is protected by the General Data Protection Regulation, or GDPR. According to KPMG, the implications of low data privacy and liability may result in reputational damage. What’s next, failure to protect insurance data adequately may also lead to private suits and claims. Thus, insurance companies need to be sure that their data is accurate, protected, and organized. The ultimatum of malicious attacks and data theft revolves around a lack of accuracy and clarity.

Fraud Prevention:

Fraud costs the insurance companies billions of dollars each year. Insurance fraud arises in many different forms. However, carriers can help fight back against the rise of policy crimes by making sure their records are up to date. It may be a case of making certain their data is clear in its organization and its references. According to the Insurance Information Institute, the US auto industry saved around $128 million through detailed data checks. Such results come to light as a result of refining the photo inspection process. Data such as basic cleansing and photo ID could help to slice costs for carriers across the country. Insurance data accuracy gives confidence back to the agents who are fighting fraud.

Better Customer Care:

Basically, more accurate data and clearer association lead to better customer service. Premiums can be complicated, mainly for the end-user or policyholder. Consequently, insurance companies have a collective duty, again, to make sure that their numbers are accurate. Problems that can cause headaches for insurance professional experts and policyholders include duplicate data. Failure to collate data in a specific place and into one singular, accurate record could lead to mispricing. Outdated data, too, could lead to inaccurate policies, quotes, and extra expenditure for customers. The more precise insurance data is, the more specific policies and pricing will be. Additionally, data visualization for insurance agents becomes easier.

Efficiency and Processing:

Fundamentally, imprecise data and poor data collation can lead to more time and effort spent putting together policies. Policyholders require swift action when they need to make claims. If insurance carrier data is poorly organized or uncertain in any way, time piles up. Again, this could affect a company’s reputation as well as the customer experience. It could affect the quality of the end product for the policyholder. Imprecise data may result in a policy that fails to protect a user in the way they expect. Crucially, the insurance industry revolves around data. That is why it is vital to make sure the data they work with is clean and easy to source, data hygiene is of utmost importance.


Usually, insurance companies use a number of methods to collect data, these include manual underwriting or data collections from multiple sources. Manual underwriting method is taking time to pool together backend data from a number of sources. To make predictions and manage risk, underwriters need to know as much as possible about their consumers.

Predictive analysis is not an easy thing to set up. However, current technology and emerging techniques are helping the industry find new ways to build profiles.

For instance, carriers may start collecting data through customer targeting. They can set up their targeting profiles to thus find policyholders that fit their briefs. Such an option is completely possible through tailored web advertising, social media, and more.

Insurance carriers may also have access to a number of public records. Policyholders and potential customers must realize that this data is necessary to build appropriate risk analysis. That, basically, is what helps companies to set rates and to offer adequate coverage.

Now-a-days, because of fraud, insurance bodies can no longer rely on customer input alone. They must work with several sources and data collections. With a see-through system to collect and clean this data in place, the future looks bright for the industry.

How do we build a productive data management strategy for Insurance Companies?

Insurers can follow the below 6 step approach to build an effective data management strategy.

  1. Start with business goals. Without having a clear understanding of business goals, you could waste valuable time and resources collecting and analyzing the wrong data. We recommend focusing on three or four use cases to start with and building it further based on success and learnings. The use cases must be linked with compelling and material financial impact (ROI).


2. Establish business stakeholders. This should include internal (e.g. marketing, sales and distribution, customer service, finance) and external (e.g. agent, consumer, employer/plan sponsor). Create a persona for every stakeholder.

3. Recognize what key decisions need to be made, and what understanding and information are required for decision-making to meet the business objectives.


4. Identify robust data processes. Once we perceive what data is required and how we will use it, we need to establish a process for gathering, preparing, cleansing, storing, and distributing the data. We need to answer questions like:

  • What data sources can we use, do we need internal and external data?
  • Do we need both unstructured and/or structured data or both?
  • How do we ensure completeness and accuracy?
  • How is the data stored, and how do we keep it secure?


  1. Identify the architecture and technology needed to deliver the value proposition. Many components are required to be architected together:
  • Data ingestion tools.
  • Data lake.
  • Data quality.
  • Data security & privacy.
  • Data science tools: analytics, exploration, visualization, streaming analytics.
  • Data governance tools.
  • Metadata management.
  • Infrastructure, cloud adoption.
  1. Organize data governance which includes:
  • Data assembling and storage policies, processes, data stewardship.
  • Data quality, profiling, lineage.
  • Data security and privacy, regulatory compliance.

Why Choose BizProspex?

Data Security

We understand the need and importance of privacy and security of data in the services you offer and we are committed to preserving the same. We deploy additional security measures to protect and maintain the secrecy of all our client’s data and stay assured of data security with BizProspex.


The meticulousness of the human touch gives our CRM Appending Service an extra inclination towards reliability. We take extra efforts to double-check all minute aspects of your data manually so that there are no errors in your records and you can make the right decision without a doubt.

Data Accuracy

We understand that you need all of your data to be free from any errors in order to be of use, hence we pay tremendous attention to every detail of your data in our CRM Cleaning Service. We authenticate every piece of information we append to your data across credible sources of information.

Company Growth

It gives us immense pleasure to see your company grow with our concerted efforts, we honor our commitment to quality and reliability at all costs and leave no stone unturned to please you with our work. We consider your growth as our growth.



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