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Implementing an AI-ready data platform for Nsure.com

History
Nsure.com is an innovative platform whose story is as inspiring as the beginnings of Netflix. The founders, looking for the right insurance for themselves, saw the need for an intuitive online platform that would allow them to purchase it from preparing a calculation, to comparing quotes, to finalizing the transaction without leaving home. And so they did. Since then, the company has grown rapidly, becoming not only a leader in the U.S. online insurance market, but also a pioneer in basing its search engines on the latest technologies, including artificial intelligence and machine learning. It now operates in all 50 U.S. states, taking the classic insurance office into the digital world. As it grew, Nsure.com recognized the need to manage and centralize large volumes of different types of data. As experts in Data & AI and Microsoft technologies, we were chosen to implement a modern data platform ready for the AI era.
Needs
What prompted the need for a modern, central data platform?
Nsure.com’s goal was to prepare the platform for its expansion with more AI components to deliver even more personalized offers to its customers. To do so, we faced the following challenges:
Ineffective reporting system
Solutions based on the Azure platform did not meet expectations in terms of speed and reliability.
Data dispersion
The information was in different systems, making it impossible for teams to work on the same data.
Manual processing of information
Some operations were carried out manually, which consumed the teams' time resources.
Implementation
How did we respond to Nsure.com's needs?
Analysis of the current state
- We analyzed the client's data warehouse architecture on the Azure platform and the ETL/ ELT processes involved in processing the source data.
- We then met with representatives from all departments that will benefit from the data platform: reporting, Data Science and AI, to learn and fully understand their needs.
Defining the target state
Start of implementation
Synchronize data from key business applications
Transferring data to Microsoft Fabric
Integration and data automation with Twilio
Quote Automation data integration
Optimize the performance of Power BI semantic models
Access for insurers to Power BI reports
Training and workshops
Result
By implementing a platform based on Microsoft Fabric, Nsure.com has achieved a number of benefits:

A single, up-to-date source of data
Collaborating teams gained access to a single, consistent database, which facilitated collaboration and strategic business decisions.

Reduce operating costs
Using Microsoft OneLake allowed us to reduce the frequency of exporting and duplicating data, and to take advantage of shortcuts available in Microsoft Fabric, which allowed us to reduce costs.

Process automation
The automation of previously manual processes and the integration of the internal systems used has freed up teams’ time.

Readiness for AI development
We have transformed the way teams access, manage and act on data with a single modern data platform ready to plug in AI-based solutions.

Data analysis is the foundation of our business – we make key business decisions based on it. The implementation of Microsoft Fabric has significantly revolutionized our approach to analytics, enabling us to create a unified data lake and integrate all sources, which has significantly accelerated data processing. As a result, both analysts working in Power BI and Notebook can effectively use common models, resulting in more precise analysis and visualization of data in Power BI.
Wojtek Gudaszewski
Co-founder and COO of Nsure.com