Advanced Analytics
Futuristic data analytics for strategic decision-making
Artificial intelligence (AI) and data science-enabled actionable insights to benefit all aspects of the life sciences value chain.
Advanced analytics
Data-driven insights, recommendations, and decisions are at the forefront of all life sciences strategies, comprising:
- Optimal brand coverage and performance across managed markets
- Omnichannel customer-centric and patient-focused marketing
- Actionable insights for precise patient journeys
- Commercial models for real-world complexities
- Sales force strategy to generate higher sales
Axtria’s advanced analytics solutions offer adaptive services across the data value chain, making insights scalable, agile, and cost-efficient.
AI/ML-driven decision making
Patient analytics
Trade analytics
Sales analytics
Marketing analytics
Payer analytics
AI/ML-driven decision making
Patient analytics
Trade analytics
Sales analytics
Marketing analytics
Payer analytics
Solution enablers
AI/ML
Industrialization
Accelerators
Innovation HUB
AI/ML-enabled decisions across the product life cycle
Solutions for all business functions
Commercial model design (CMD)
Commercial model design (CMD) provides a data-driven AI/ML-backed approach towards sales force strategy. It enables life sciences organizations to reach the patients faster, more efficiently, and with the right plan based on therapies and channels.
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Benefits
- Calibration of personal and non-personal promotion
- Highly productive sales models by optimizing customer influence
- Agility with commercial planning for hundreds of new reps at once
Sales force sizing and structure
Practical sales force strategies help generate higher sales, detail multiple products, support new product launches, and defend against new competitive product launches.
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Benefits
- Sales predictability with market forecast-based sizing
- Higher conversions with business potential and need-based account prioritization
- Optimized channel-wise HCP interaction with scenario-based sizing simulation
Sales analytics
To drive commercial success, companies need AI/ML-driven optimization algorithms and deep experience in data, technology, and therapy areas to enable sales operations efficiency.
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Benefits
- Alignment timelines
- Call planning timelines
- Field queries and sales operations workload
Marketing analytics
Marketing analytics capabilities provide integrated marketing mix design and evaluation across personas, channels, and messages.
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Benefits
- Significant lift in sales rep face-to-face interactions
- Highly productive sales models by optimizing customer influence
- Agility with commercial planning for hundreds of new reps at once
Managed care analytics
Design ‘where to play’ and ‘how to win’ strategies in a multi-stakeholder model. Health economics-based AI/ML models account for health value beyond efficacy to ensure portfolio-based innovation and best-in-class outcomes.
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Benefits
- Copay impact optimization to increase patient days of therapy by several months
- Payer impact on product performance to evaluate resource allocation
- Contract scenario analysis for optimized market access planning
Patient analytics
AI/ML-driven patient analytics and associated data sources leverage a combination of deductive and inductive logic for solving patient problems.
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Benefits
- Reduced patient dropouts and discontinuation
- Targeted intervention programs for high-risk patient groups for improved adherence
- HCP-identification based on disease severity and patient characteristics for targeted messaging
Customer success stories
Marketing Mix Analysis For A Specialty GI Drug Contribut ...
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