Trōv: Advanced BI Solution

Introduction 

Trōv was a leading insurance technology platform. The company offered top-quality services in embedded insurance. It entailed coupling digital insurance distribution with emerging mobility capabilities. Trōv aimed to empower various financial and insurance institutions to embed their products into digital frameworks to boost revenues and offer a better customer experience.

Challenge 

The client needed one of the insurance BI solutions for making faster insurance-related decisions while monitoring organization growth and sharing statistics with the appropriate management groups and partners.

Solution 

Process 

Requirements Gathering and Solution Design

Through detailed consultations with Trōv’s team, we identified key performance indicators (KPIs), reporting requirements, and the various data sources across their organization.

This stage culminated in the design of the BI solution architecture, including the selection of appropriate technologies like Amazon Redshift, Talend, and MySQL, and the blueprint for the data warehouse and visualization tools.

Development and Integration

We built and implemented a BI solution This involved setting up the data warehouse, establishing data pipelines, and developing the data visualization layer.

A key aspect of this stage was the integration of third-party tools to enhance user interaction and provide richer insights. The focus was on building a robust and scalable solution capable of handling Trōv’s data needs.

Deployment, Testing and Training

The final stage involved deploying the complete BI solution within Trōv’s infrastructure. This included testing to safeguard data accuracy, system stability, and performance.

We implemented advanced visualization dashboards with role-based access control, which allows different stakeholders across the organization to access relevant insights.

Results 

The developed solution helped Trōv insurance gain actionable insights and understand business performance based on statistical methods and machine learning techniques.

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The users could cooperate within a unified reporting environment with advanced filtering and dashboards to make full use of the information throughout the organization.