Skip to main content
BI4ALL BI4ALL
  • Expertise
    • Artificial Intelligence
    • Data Strategy & Governance
    • Data Visualisation
    • Low Code & Automation
    • Modern BI & Big Data
    • R&D Software Engineering
    • PMO, BA & UX/ UI Design
  • Knowledge Centre
    • Blog
    • Industry
    • Customer Success
    • Tech Talks
  • About Us
    • Board
    • History
    • Partners
    • Awards
    • Media Centre
  • Careers
  • Contacts
English
GermanPortuguês
Last Page:
    Knowledge Center
  • Insurance

Insurance

Página Anterior: Blog
  • Knowledge Center
  • Blog
  • Fabric: nova plataforma de análise de dados
1 Junho 2023

Fabric: nova plataforma de análise de dados

Placeholder Image Alt
  • Knowledge Centre
  • Insurance
21 February 2024

Insurance

Insurance

Reduce risk, know your customer and boost your business

Personalizing the offer, determining insurance premiums, and mitigating risks now constitute crucial pillars for the insurance industry, which benefits from adopting innovative technologies to enhance its responsiveness and efficiency.

Insurance companies need accurate, reliable, and real-time information to have greater control over operations, reduce costs and develop effective strategies, thus gaining greater competitive advantages over other market agents.

The adoption of Data Analytics and Artificial Intelligence solutions offers a 360-degree view of the business, which leads to better decision-making and a more efficient response to the constant commercial pressures faced by the sector.

Optimize the customer experience and develop products and services adapted to their needs, anticipate market changes, and identify new sales opportunities, making your business more competitive, strategic and profitable.

Bring greater agility and effectiveness to the business, as well as improving operational efficiency and automating processes.

 

The global Analytics market size in the insurance sector reached US$11.2 billion in 2022. Going forward, IMARC Group expects the market to reach US$23.3 billion by 2028, exhibiting a growth rate ( CAGR) of 12.7% during 2023-2028.

What we do

By applying advanced data analysis techniques to determine insurance premiums based on more accurate risk factors. This approach involves analyzing the history of claims, policyholder profiles and external data, such as demographic and meteorological information, to establish prices that more accurately reflect the risk involved.

Data analysis enables insurers to assess more precisely the risks linked to different types of insurance. This includes identifying patterns and forecasting events that could impact insurance portfolios, facilitating proactive risk management.

AI-powered chatbots and virtual assistants can improve customer service by providing quick replies to questions and assisting policyholders through the claims process, resulting in a more satisfying experience.

AI allows you to automate tasks, reducing the likelihood of human errors, which is particularly important in underwriting and claims processing processes. This automation not only increases efficiency, but also contributes to more precise and agile operations.

Benefits

Operational efficiency

Enhance process agility and quality of decision-making in all departments. Increase operational efficiency by making processes more productive and automated. Reduce costs and adjust operations based on customer behavior and external variables.

Customer service

Carry out customer segmentation, loss control, performance monitoring, sales forecasting and risk assessment. Get 24/7 customer support through chatbots to build a trustworthy brand.

Increase financial transparency

With dynamic financial analysis, of solvency and asset and capital allocation models, analyze your organization's financial health easily and in real-time. Analyze profit by customer, region or product through simple and reliable reports.

Boost sales

Develop personalized campaigns, identify up-sell and cross-sell opportunities for customers, improve after-sales service, increasing customer satisfaction and loyalty, while creating assertive and direct commercial strategies.

Anticipate scenarios

Through efficient predictive models, trace patterns and behaviors, define strategies and direct marketing campaigns based on the customer profile, habits and feedback.

Reduce risk and fraud

Monitor fraud risk through history and predictive analytics. Mitigate regulatory risks and ensure regulatory compliance by rigorously protecting corporate and confidential customer data.

Strategic marketing

Develop smarter marketing campaigns and increase ROI. Greater knowledge of the customer allows the development of new products and services that meet their needs and trends.

Complete and accurate dashboards and reports

Gain a better understanding of opportunities within each policyholder, including revenue growth, product promotion, risks, business volume and customer retention.

85% of insurance executives believe that AI will transform the sector. Is your company ready? Download our eBook for free and discover the trends that are shaping the future of insurance.
What are the trends shaping the future of Insurance?

Clients

Cliente 1
Cliente 2

 

 

Share

Suggested Content

Data sovereignty: the strategic asset for businesses Blog

Data sovereignty: the strategic asset for businesses

In 2025, data sovereignty has become the new engine of competitiveness — turning massive volumes of information into innovation, efficiency, and strategic advantage.

Modern Anomaly Detection: Techniques, Challenges, and Ethical Considerations Blog

Modern Anomaly Detection: Techniques, Challenges, and Ethical Considerations

Anomaly Detection identifies unusual data patterns to prevent risks, using machine learning techniques

Optimising Performance in Microsoft Fabric Without Exceeding Capacity Limits Blog

Optimising Performance in Microsoft Fabric Without Exceeding Capacity Limits

Microsoft Fabric performance can be optimised through parallelism limits, scaling, workload scheduling, and monitoring without breaching capacity limits.

Metadata Frameworks in Microsoft Fabric: YAML Deployments (Part 3) Blog

Metadata Frameworks in Microsoft Fabric: YAML Deployments (Part 3)

YAML deployments in Microsoft Fabric use Azure DevOps for validation, environment structure, and pipelines with approvals, ensuring consistency.

Metadata Frameworks in Microsoft Fabric: Logging with Eventhouse (Part 2) Blog

Metadata Frameworks in Microsoft Fabric: Logging with Eventhouse (Part 2)

Logging in Microsoft Fabric with Eventhouse ensures centralised visibility and real-time analysis of pipelines, using KQL for scalable ingestion.

Simplifying Metadata Frameworks in Microsoft Fabric with YAML Blog

Simplifying Metadata Frameworks in Microsoft Fabric with YAML

Simplify metadata-driven frameworks in Microsoft Fabric with YAML to gain scalability, readability, and CI/CD integration.

video title

Lets Start

Got a question? Want to start a new project?
Contact us

Menu

  • Expertise
  • Knowledge Centre
  • About Us
  • Careers
  • Contacts

Newsletter

Keep up to date and drive success with innovation
Newsletter

2025 All rights reserved

Privacy and Data Protection Policy Information Security Policy
URS - ISO 27001
URS - ISO 27701
Cookies Settings

BI4ALL may use cookies to memorise your login data, collect statistics to optimise the functionality of the website and to carry out marketing actions based on your interests.
You can customise the cookies used in .

Cookies options

These cookies are essential to provide services available on our website and to enable you to use certain features on our website. Without these cookies, we cannot provide certain services on our website.

These cookies are used to provide a more personalised experience on our website and to remember the choices you make when using our website.

These cookies are used to recognise visitors when they return to our website. This enables us to personalise the content of the website for you, greet you by name and remember your preferences (for example, your choice of language or region).

These cookies are used to protect the security of our website and your data. This includes cookies that are used to enable you to log into secure areas of our website.

These cookies are used to collect information to analyse traffic on our website and understand how visitors are using our website. For example, these cookies can measure factors such as time spent on the website or pages visited, which will allow us to understand how we can improve our website for users. The information collected through these measurement and performance cookies does not identify any individual visitor.

These cookies are used to deliver advertisements that are more relevant to you and your interests. They are also used to limit the number of times you see an advertisement and to help measure the effectiveness of an advertising campaign. They may be placed by us or by third parties with our permission. They remember that you have visited a website and this information is shared with other organisations, such as advertisers.

Política de Privacidade