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    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.

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    AI/ML-driven decision making

    AI-ML-backed-decision-making
    Patient-Analytics-Icon-1 Patient analytics
    Trade-Analytics-Icon-1 Trade analytics
    Sales-Analytics-Icon-1 Sales analytics
    Marketing-Analytics-Icon-1 Marketing analytics
    Payer-Analytics-Icon-1 Payer analytics

    Solution enablers

    Agility-and-quality-icon1-2

    AI/ML

    Industrialization-icon

    Industrialization

    Accelerators-icon

    Accelerators

    Innovation-HUB-icon

    Innovation HUB

    AI/ML-enabled decisions across the product life cycle

    Pre-launch/ clinical

    Launch

    Scale & managment

    Loss of exclusivity (Loe)

    1_Prelaunch
    3_Launch_
    5_SalesManagement
    7_LOE
    • Predictive selection for patients and site
    • Precision medicine
    • Likelihood of adoption-based target identification
    • Look-alike potential patient identification
    • Segment based for estimated future potential
    • Personalized promotions using predicted HCP channel affinity
    • Identify next best action and sequence of promotions
    • Proactive tactical design by predicting and likelihood of patient switch and non adherence

    Click the graph to learn more about Axtria's offerings

    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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    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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    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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    Marketing analytics

    Marketing analytics capabilities provide integrated marketing mix design and evaluation across personas, channels, and messages.

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    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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    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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    Customer success stories

    Case Study

    8% Jump in Revenue With an Axtria MarketingIQ - based Global Marketing Mix Solution

    Case Study

    Data Analytics-driven Roster And Alignment Optimization For A Major Medtech Company

    Case Study

    Marketing Mix Analysis For A Specialty GI Drug Contributed Significant Top-Line Growth For A Top-10 Pharma Company