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Success Stories

Enterprise Data Warehousing in the Insurance Industry Improves Efficiency by 40%

Faster Reporting and Analytics Made Possible by Enterprise Data Warehousing

Industries

Insurance/Insurtech

Technologies

Power BI, Azure SQL Server, Azure Blob Storage, Azure Data Lake Storage, Azure Blob Storage, Azure Data Factory, MS Excel, Visual Studio

Enterprise Data Warehousing in the Insurance Industry Improves Efficiency by 40%

Insurance AMS Leverages Enterprise Data Warehousing to Save 40% Time

At arieotech, we are committed to mobilizing technology to overcome challenges that hinder businesses from achieving their full potential. One such challenge is the lack of uniformity in data collection, storage, and reporting processes, which often leads to time delays and inefficient use of resources. Recently, we partnered with an Insurance Agency Management System (AMS) to address these issues with enterprise data warehousing solutions, transforming their reporting, analytics, and business insights.

Challenge

A leading Insurance AMS working with over 300 carriers and 18 technology products faced significant hurdles:

Disparate Data Sources: Handling sensitive customer data, claims, and settlements spread across 10 integrated functions, such as email management and electronic payments.
Manual Data Processes: Reliance on spreadsheets and manual operations for insights caused delays of up to two days.
Limited Long-Term Insights: The system was designed for transactional data, lacking tools for trend analysis or behavioral patterns.
Operational Inefficiencies: The lack of centralized data led to errors and duplication, reducing productivity and decision-making speed.

The company needed a solution to centralize its data, enhance reporting accuracy, and accelerate insights to meet dynamic business demands.

Solution

arieotech’s experts developed a robust Enterprise Data Warehouse to address these challenges:

Centralized Data Repository: Consolidated data from disparate sources into a uniform system, minimizing errors and inconsistencies.
Automated Data Storage: Eliminated manual interventions, improving time efficiency by 40%.
Dynamic Reporting Platform: Designed visually appealing and interactive reports using tools like Power BI, DAX Studio, and Tabular Editor, delivering actionable insights in real-time.
Enhanced Historical Analysis: Enabled trend identification and behavioral analysis through optimized data storage and management using technologies such as Azure SQL Server and Azure Data Factory.

Impact

25% Increase in Operational Efficiency

40% Faster Report Generation

Near-Zero Data Errors

Improved Understanding of Trends and Patterns

Data warehousing has emerged as an essential solution for the insurance industry, enabling the collection and processing of vast, diverse datasets from sources such as health agencies, insured companies, and intermediaries.

Recognizing its potential to streamline operations, an Insurance AMS partnered with us to centralize their scattered data into a single repository.

Insurance Through Enterprise Data Warehousing for Historical and Error-Free Data

Our team helped the company overcome this obstacle through the creation of a dedicated warehouse. arieotech’s in-house experts achieved this by leveraging advanced technologies such as Azure SQL Server, SQL Server Management Studio, and strategic use of MS Excel with added levels of security.

This centralized warehouse minimized errors from duplicated, inconsistent, or incompletely processed data, increasing operational efficiency by 25%.

Snappy Data Reporting for Better Business Insights

Going a step further, our team helped the company capitalize on all this data by implementing a platform that generates dynamic and accurate reports, easily understood at a glance.

By deploying specialized reporting tools such as Visual Studio, Power BI, Dax Studio, and Tabular Editor, the team created visually appealing and actionable reports.
These reports not only accelerated business decisions by 40% but also highlighted key information, allowing stakeholders to evaluate strategic options effectively.

Patterns in user behavior, functions requiring additional resources due to demand surges, or areas needing extra attention due to underperformance became evident through these insights.

Transformation

We were able to gear technology use not just to overcome existing challenges but to ensure the best business outcomes. Let us help you transform your organization too.