Modernizing Insurance Data Platforms
More accurate data integration and faster bordereau data processing.
Talk to our expertsInsurance Data Platform Engineering Services
Patterson Consulting platform engineering teams help you build out data pipelines and generative AI capabilities. We specializing in constructing modern data stacks that for data collection, transformation, and publication.
Data platform technologies include:
- SQL Server / RDBMS
- PowerBI / analytics
- Snowflake
- Airflow / DBT / orchestration
- Cube / semantic layer
- Workday
- Salesforce
- Oracle NetSuite
- Guidewire
Underwriting
Patterson Consulting helps underwriting groups in insurance companies manage the policy creation and premium transaction flow. We help companies with data integration between their policy system and their finance systems as well. Technologies include:
- Pega
- Sapiens
- SAP
Finance
A good data platform has to accelerate both the accounting reconciliation and billing processes. The Patterson Consulting teams helps insurance companies validate their data integration between systems so automation can be trusted in the business workflow.
Technologies include:
- Sage Intacct
- Majesco
Actuarial
A good data platform in the insurance industry supports the reserve review analysis process. This means the platform supports the actuarial team in:
- understanding the amount of liability currently outstanding
- tracking inaccurate claims data
- generating IBNR data
Claims
Insurance data platforms need to be able to wrangle inbound bordereau data quickly and accurately. Patterson consulting works with claims groups to make sure their data is correct and fast.
Data Integration Architecture Review
We review existing data platform and pipelines to surface pain points in your insurance business. The deliverable is a report that includes the current state of the platform and also a design for a future architecture that best fits your specific insurance business.
Policy, Premium, and Claims Data Strategy Review
As insurance companies grow they needs of different parts of the business evolve. We work with insurance companies to understand how they specifically need ot handle their policies, generate premium transaction data, and collect claims bordereau data from TPAs. From that we can help your company understand where a data platform can improve and drive more business volume.
Bordereau Data Information Architecture
Bordereau data is the lingua franca of the insurance industry and is passed between MGAs, TPAs, and insurance carriers. We can help you understand where your bordereau data is going, how to manage it internally, and how to optimize the processing of the bordereau data to improve claims analytics and actuarial accuarcy.
Claims Analytics
Accurate claims and loss data is key to managing the profitability of any insurance carrier. By architecting a more efficient data platform, your insurance company can generate analytical reports on inbound claims and get a better understanding of how to manage cashflow.
Modernizing a platform for the future is difficult if you are trying to balance daily operations while also trying to plan for the future. Patterson Consulting helps insurance companies to understand how to modernize their data platform in a way that sets the company up for growth.
Insurance case studies
Data Platform Migration with Large Midwest Insurance Company
Patterson Consulting worked with the data engineering team of a large midwest insurance company to help migrate data pipelines from AWS to GCP. New data pipelines were built out on Google BigQuery and orchestration was implemented with Airflow.
Read case studyDesigning Data Platforms to Drive the Line of Business
Below are some of our whitepapers on Generative AI, Data Engineering, and Platform Engineering.
Whitepaper: Generative AI and Insurance
Download our whitepaper on how Generative AI is revolutionizing the insurance industry by streamlining complex processes and enhancing decision-making.
Why is Generative AI Important to Insurance?
The rapid adoption of generative AI is strikingly different from previous technological shifts like cloud computing and big data. Unlike the gradual uptake by smaller, agile companies, AI's integration is being driven by large companies' executives who mandate its use across their organizations.
DownloadWhitepaper: What is Data Engineering?
Download our whitepaper on how data engineers support the needs of data scientists, analysts, and other key stakeholders within an organization. Learn how data engineering provide the crucial data infrastructure for data-driven insights and strategic decisions.
How Does Data Engineering Impact My Organization?
Data engineering is the discipline focused on designing, constructing, and maintaining the systems that manage the reliable and efficient processing of large volumes of data. This encompasses tasks such as collecting, storing, transforming, and organizing data to make it accessible and usable for analysis, reporting, and decision-making.
DownloadThe Value of Modernizing Insurance Data Platforms
Great platform architecture and engineering is a competitive advantage to all business today because if we cannot scale our business better than "linearly adding more people as we add business", then our data platform is not doing its job.
Great data platforms help forward looking insurance companies grow their business faster than their competitors, and at Patterson Consulting we deliver those data platforms.
Why Use Our Platform Engineering Team for Your Insurance Data Platform?
The insurance industry is dependant on data.
The cost of inaccurate data is high and late data causes your insurance company to lose business.
To do better than a manual process for most businesses, you need a platform that your organization trusts to deliver correct data and deliver the data in a timeframe that is relevant to the business process.
Patterson Consulting helps you accelerate your business by using classical business analysis combined with expert platform engineering architecture. This means that Patterson Consulting focuses on the key insurance industry performance metrics that drive your insurance business and then architects a data platform that focuses on these key indicators as a measure of success.
At Patterson Consulting we don't do platform architecture for the sake of more technology -- we design data platforms that improve how your insurance business processes claims from TPAs, delivers analytical data timely, and integrates data from others systems without errors.
If your teams resort to manual processes across the company because they don't trust the data from your data platform, then you can use our services.
Common Questions About our Engagement Process
Here are some of the commons questions asked.
Our latest blog resources
Articles on platform engineering and generative AI from the Patterson Consulting team
Data Modeling Healthcare Data with DBT
In this post we’ll build our first DBT pipeline to summarize patient history data for downstream data engineers.
Read
Loading the Credit Card Transaction Data Into Snowflake
In this blog post series we will demonstrate how to build a credit card fraud detection system on realistic data.
Read
Let's talk about your data platform.
Patterson Consutling platform engineering teams help you architect and deploy data platforms that drive the business and support generative AI capabilities. We specializing in constructing modern data platforms that focus on ensure data correctness and generating analytical results as quickly as possible.
Talk to our experts