Developed a reporting automation & analytics ecosystem for the largest pharmaceutical company in Japan and Asia
Company Size
1,000+
Region
- Asia
Country
- Japan
Product
- Reporting automation system
- Analytics ecosystem
Tech Stack
- Data integration
- Data analytics
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Digital Expertise
- Productivity Improvements
Technology Category
- Analytics & Modeling - Big Data Analytics
- Application Infrastructure & Middleware - Data Exchange & Integration
Applicable Industries
- Life Sciences
Applicable Functions
- Business Operation
- Sales & Marketing
Services
- Data Science Services
- System Integration
About The Customer
The customer is a large pharmaceutical company based in Japan. It is one of the top 15 pharmaceutical firms globally and is the largest in Japan and Asia. The company operates in the life sciences industry and has a significant presence in the global market. The company has a vast amount of data from various sources but lacked a defined analytics architecture to effectively utilize this data. The company wanted to capture all the geo and product level data at a central location for easy competitive and comparative study.
The Challenge
The client, a top 15 pharmaceutical firm globally, was facing challenges with their existing reporting system. The processes were cumbersome, manual, and time-consuming. Despite having a plethora of data sources, there was no defined analytics architecture. The client wanted to capture all the geo and product level data at a central location for easy competitive and comparative study.
The Solution
Blueocean Market Intelligence developed a reporting automation and analytics ecosystem for the client. They created a repository/data mart to streamline the current data into an integrated repository. They also developed reporting solutions with enhanced microstrategy features for drilling hierarchies and viewing different data cuts. The reporting solutions were made compatible with mobile platforms (iOS, Windows, and Android). The reporting processes were automated at various levels for the benefit of multiple stakeholders. Advanced analytics solutions were also implemented, including sales forecasting, territory alignment, incentive compensation, and sales force effectiveness.
Operational Impact
Quantitative Benefit
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