Large American insurance company enhanced online sales and ROI attribution using digital analytics
Company Size
1,000+
Region
- America
Country
- United States
Product
- Blueocean Market Intelligence analytics platform
- Tableau
Tech Stack
- APIs
- Data bridges
- On-premise technology stack
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Brand Awareness
- Customer Satisfaction
- Digital Expertise
Technology Category
- Analytics & Modeling - Big Data Analytics
- Analytics & Modeling - Real Time Analytics
- Application Infrastructure & Middleware - Data Exchange & Integration
Applicable Industries
- Finance & Insurance
Applicable Functions
- Business Operation
- Sales & Marketing
Use Cases
- Demand Planning & Forecasting
- Fraud Detection
- Predictive Quality Analytics
Services
- Data Science Services
- System Integration
About The Customer
The customer is a large property and casualty insurance company based in the United States. They operate in the insurance industry and were facing challenges in measuring the efficacy of their digital initiatives. The company was unable to measure their marketing ROI, which was impacting their sales. Additionally, they were dealing with a fragmented customer experience. The company needed a solution that could help them overcome these challenges and improve their business operations.
The Challenge
The client, a US-based property and casualty insurance company, was facing several challenges. They lacked a measurement system to understand the effectiveness of their digital initiatives. This inability to measure marketing ROI was impacting their sales and leading to a fragmented customer experience. The company needed a solution that could integrate data from different platforms, provide real-time analytics, and drive effective data storage practices.
The Solution
Blueocean Market Intelligence provided a solution to the client's challenges. They conducted an in-depth analytics workshop to understand the business requirements and priorities. They designed a measurement framework and analytics roadmap to meet the client's objectives. They set up an on-premise technology stack to deliver the analytics solution. They developed APIs and other data bridges to integrate data from different client-owned and third-party platforms. They created metadata and schemas to be leveraged for scale and used industry MDM best practices to drive effective data storage practices. They developed visualizations using the industry-leading platform Tableau and created various analytics applications to meet business requirements.
Operational Impact
Quantitative Benefit
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