Insurance claims analytics software development services

DICEUS provides insurance claims analytics software that can speed up and cost-optimize claim management through automation, boost collaborative performance through custom integrations, and make claims processing risk-free. 

We offer flexible opportunities delivered by experienced professionals at a reasonable price, handling everything from legacy software optimization and expansion to implementing custom insurance claims analytics solutions that serve specific company needs. 

What is insurance claims analytics software? Specialized solutions help digitize and automate claim analytics in insurance, tying things up, centralizing collaboration, and powering well-informed underwriting decisions almost in real-time. A system can be built from scratch to analyze and gain actionable insights from vast amounts of claims-related data. So, you get a strategic tool that eliminates manual data processing risks, boosts operational efficiency, and maximizes profits in the long run. 

Benefits of custom-developed claims analytics solutions 

A reliably built and timely adopted insurance claims analytics system will help you get rid of workflow issues, smooth out performance, and scale further with a range of advantages, such as follows: 

Data-driven decision-making 

Our tailored solutions empower insurance companies with in-depth segmented analytics and resulting real-time insights that enable data-driven decision-making at every level. Historical data, dynamic data tracking, and automated reports add up to the convenience. 

Fraud prevention 

DICEUS integrates advanced fraud detection algorithms based on Machine Learning and AI to reinforce the protection of insurance claim data analytics processes, cut down the impact of possible fraudulent claims, and safeguard the overall financial health of insurance providers. 

Optimized financials 

Tailored solutions we build help insurers optimize loss ratios through meticulous analysis of historical data and market trends, pinpointed identification of potential threats, and convenient collection of insights that power balanced and sustainable financial performance. 

Industry adaptability 

We help make sure you hit the spot exactly for the user audience segments you target, leveraging years of experience and qualified expertise to give you solutions that cater to all relevant insurance business lines, including property and casualty (P&C), health, life, and more.  

insurance data analytics

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insurance data analytics
Example of insurance data analytics dashboards – Vitaminise Data Analytics developed by DICEUS

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Discover essential claims analytics components 

These and other components, tools, and approaches enable us to automate claims analytics for insurance profitably. 

Fraud detectionLeveraging Machine Learning capacities and field expertise for anomaly detection, claims frequency analysis, voice and image screening, text mining, and more ways to detect and prevent fraud. 
Predictive analyticsPowering proactive decision-making and risk mitigation with deep learning insights, data mining, automated statistics, and technology that allows you to see far beyond what your competition sees.
Loss ratio analyticsEliminating unreasonable expenses and mitigating financial management risks by monitoring the ratio of incurred losses to earned premiums and providing real-time visualizations.
Insurance-specific claims analyticsTailoring analytics to particular types of claims helps individualize claim management, making it highly accurate and efficient while achieving the widest coverage of claims analytics in insurance.
DashboardsVisualizing all crucial aspects and metrics, including claim settling progress, risk assessment points, the volume of claims by severity, region, segment, etc., with the help of custom dashboards.

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Custom claims data analytics solutions: DICEUS expertise

Interactive dashboards 

DICEUS specialists craft neatly-looking, user-friendly dashboards that take decision-making efficacy beyond the powers of traditional reporting mechanisms. We present complex information in a digestible format through user-centric dashboard design and intuitive data visualization by layers, gathering all KPIs, anomalies, and trends in one place for ultimate convenience. 

BI implementation 

We implement and integrate robust BI management tools that help efficiently assess internal business priorities, identify key performance indicators, and transform raw data for further visualization on dashboards. Depending on the range of integrations, we can set up a well-connected infrastructure that enables a seamless flow of BI instead of spawning disparate tasks.  

Predictive analytics for claims 

Tailored insurance analytics software development gives you the strategic advantage of implementing custom tools for anticipating tomorrow’s challenges. In your custom system, historical claims data will be collected, stored, and fed to advanced AI/ML algorithms to create unique models forecasting claims management tendencies for optimal budgeting and risk prevention.  

Big data solutions for claims 

Diving even deeper into all the data collected by a custom claims analytics system, we can help you extract hidden patterns from huge amounts of intel and gain insights that existing readymade platforms may overlook. We employ the capacities of blockchain and smart insurtech to power enhanced KYC, policyholder analysis, customer segmentation, fraud detection, and more. 

Examples of dashboards we create

Wealth management dashboard

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Customer data dashboard

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Reports dashboard

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Stock history executive dashboard

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Homerun auto-insights dashboard

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Insurtech dashboard

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Arrest incidents dashboard

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2011the year DICEUS was established
130projects delivered successfully
8offices around the world
GlobalDelivery Center in Poland
250full-time tech professionals
100IT services available

Our partners

Microsoft partner Oracle partner Google Cloud Partner Fadata partner

Our achievements

Google Cloud Certified
IBM Enterprise Design Thinking Practitioner
SMAC Accredited Certification
Inc. 5000 List 2019
ISO 9001:2015 Certified
CBAP IIBA Certified
iSQI Professional Certified
Interaction Design Foundation
Fastest Growing 500 Software Developers
Global B2B Leader in Business Services 2022
Global B2B Leader in Development & IT Services
Top B2B Companies 2021 by Clutch
Top B2B Companies 2020 by Clutch
Top 1000 Global Companies 2020 by Clutch
Top Custom Software Development Companies

Our approach to data analytics development 

At DICEUS, we offer a complete range of insurance claims analytics software development services backed by years of experience, profiled expertise, and expertise-driven processes. 

How to get started with claims analytics projects for insurance 

You can easily kick off your custom insurance claims analytics software development project by turning to DICEUS and sharing your needs, desires, or expectations. But you can also help us achieve the highest quality of collaboration by providing the following: 

  • Detailed vision of results, requirements, and existing software specifications (if any) 
  • Budget scope, time constraints, and regional limitations 
  • Any other relevant documents and time for regular call-ups 


Elena Markova

Elena Markova

Board Member, UNIQA Ukraine

We were impressed by the depth of the UX analysis they did in terms of our customer’s research, buyer persona creation, user journey mapping, etc. All the information like research findings, for instance, was presented in a clear form (presentations, Miro boards, clear infographics) so it was quite easy to understand what we need to build and why.

Antoaneta Karagyozova

Antoaneta Karagyozova

CPSO, Fadata

We are happy with DICEUS’ software implementation services. The team’s workflow is highly effective and professional in all aspects of the engagement. All clearly understand what goals we’d like to reach and do their best to do that as efficiently as possible. Overall, the partnership has been successful.

Phil Reynolds

Phil Reynolds

CEO, BriteCore

The DICEUS team has consistently supported the BriteCore team for many years. Their engineers are well-educated and highly invested in the ongoing quality of the BriteCore platform with sustained relationships that extend over four years. We appreciate everything the DICEUS team brings to the table as a development partner.

Our case studies


What is insurance claims analytics software?

Insurance claims analytics software is a specialized tech solution designed to analyze and interpret data related to insurance claims. It employs advanced data analytics techniques to process vast amounts of data, providing insurers with valuable insights into claims trends, patterns, and performance metrics.

How is data analytics used in insurance?

Data analytics powers insurance operations by systematically analyzing large volumes of data to extract readable insights, patterns, and trends. In the insurance industry, data analytics can handle claims processing, risk assessment, customer segmentation, and fraud detection.

Which factors should be taken into account when using data from health insurance claims?

When utilizing data from health insurance claims, critical factors to consider include robust privacy and security of data, regulatory compliance (e.g., HIPAA), data accuracy, and ethical use of extracted data among all stakeholders. All of that is achieved with reliable insurance claims analytics software development by knowledgeable professionals.

What advantages may insurance claim analytics software offer?

With high-quality software, you gain efficient fraud protection, better-informed operational decisions, automation of routine tasks, much higher claim processing and settling accuracy (which can be extremely important for health insurance analytics software development), and more.

What role do advanced claims data insights play in driving strategic decisions?

Advanced claims data insights boost the efficiency of insurance strategizing organically with the help of proactive risk management, smart resource optimization, dynamic adaptability to market demands, and data-driven scaling.

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