Life Sciences Analytics
Elevate your digital maturity and unlock innovationwith data, AI and cloud services
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Accelerate digital transformation with data-driven engineering and predictive analytics
The top challenges in the life sciences industry include a lack of high-quality data sources, difficulties in integrating diverse data, and the absence of cross-functional analytics teams. At Sigmoid, we specialize in delivering data engineering and advanced analytics solutions tailored specifically for life science organizations. Our cross-technology expertise helps integrate diverse data sources, clean and prepare complex data for ML modeling and build innovative analytics solutions to deliver faster insights for pharmaceuticals, biotechnology, and life science companies.
Building org-wide capabilities with life science data and analytics services
Reduce operational margins by increasing the efficiency of your entire manufacturing process from procurement to production.
- Quality control and monitoring
- Overall equipment effectiveness
- Master production scheduling
- Schedule adherence
Data processing, ML model development, and forecasting help optimize inventory planning, scheduling, and overall supply chain costs.
- Demand forecasting
- Cost driver analysis
- Procurement analytics
- Vendor management
Optimize sales and marketing efforts by powering sales force sizing, territory alignment, call planning, and incentive compensation.
- Sales forecasting
- eCommerce analytics for consumer healthcare
- Marketing attribution
- Promotion response modeling
What we do
High-volume data integration
Collect, integrate, and analyze high-volume data from diverse sources to create centralized data hubs for commercial business insights.
Granular metric analysis
Perform granular analysis of metrics like average ingredient cost per prescription and drug utilization to increase revenue.
Visualization of complex data
Enable better decision-making with faster reporting and visual insights for research, clinical trials, and healthcare operations.
Customer success stories
15% increase in capacity utilization with automated master production schedule
- 15% increase in capacity utilization
- 98% reduction in time for schedule generation
- Near real-time visibility to operational metrics and KPIs
Omnichannel marketing data hub to optimize campaign execution results for a medical equipment company
- 5% increase in funnel conversion
- 500+ data pipelines automated
- Faster integration of new datasets
Insights and perspectives
How to build a data analytics team for digital business
Why is data validation crucial for long-term data success
