INDUSTRIALIZED ANALYTICS FOR COLLABORATIVE EXCELLENCE

Effortlessly interweave siloed data and functional excellence
to enable a culture of intelligent insights & operations, at scale

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Axtria InsightsMAx^TM

The challenges of volume, velocity, variety, and veracity of data have increased its distance from intelligent decision-making and operations. Fragmented data, along with disconnected analytics tools and workstreams, lead to longer cycle times and information loss. To avoid the resulting model failure and business risks, companies find the need to converge the pools of diverse excellence.

With its intelligent data interlinking and industrialized analytics capabilities, Axtria InsightsMAx^TM enables Citizen Data Scientists for an AI-enabled analytics workbench. Decision-makers can collaboratively assemble analytics models of choice, derive instantaneous insights, and create an operational strategy, in minutes.

Advanced ML Algorithms And Computing Power Can Meaningfully Utilize The Abundance Of Data

TRADITIONAL DATA

DEEP LEARNING

REAL WORLD DATA

EMERGING DATA SOURCES

DEDUCTIVE APPROACHES

MACHINE LEARNING

Prescription Intelligence

Script By Indication

Specialty Pharmacy

Patient Hub

Patient Claims

Lab Data

EMR/EHR

RWE

Wearables

Digital Medicine

Clinical Genomic Databases

Hypothesis Testing

Regression

Random Forest

Support Vector Machines

K-Nearest Neighbors

Bayesian Methods

Neural Networks

Ensembling

Long Short-Term Memory

Recurrent & Convolutional Neural Networks

Marketing impact/ ROI assessment

HCP and account valuation

HCP segmentation and targeting

Marketing mix modeling

Extraction of diagnostic testing data from EHR (supervised ML)

Graph-based ML techniques for influence and referral patterns

Omnichannel
Next-Best-Actions

Market sizing and “likely” (undiagnosed/ misdiagnosed)
patient identification

Net sales forecasting

Early adopter modeling

HCP & patient segmentation using unsupervised ML

Therapy non-adherence risk modeling using SP & hub data

Treatment decision drivers modeling

Patient progression modeling using RWE & claims for predictive targeting

Descriptive patient level analyses (quantified patient flows/patient journeys)

TRADITIONAL DATA

DEEP LEARNING

REAL WORLD DATA

EMERGING DATA SOURCES

DEDUCTIVE APPROACHES

MACHINE LEARNING

Prescription Intelligence

Script By Indication

Specialty Pharmacy

Patient Hub

Patient Claims

Lab Data

EMR/EHR

RWE

Wearables

Digital Medicine

Clinical Genomic Databases

Hypothesis Testing

Regression

Random Forest

Support Vector Machines

K-Nearest Neighbors

Bayesian Methods

Neural Networks

Ensembling

Long Short-Term Memory

Recurrent & Convolutional Neural Networks

Marketing impact/ ROI assessment

HCP and account valuation

HCP segmentation and targeting

Marketing mix modeling

Extraction of diagnostic testing data from EHR (supervised ML)

Graph-based ML techniques for influence and referral patterns

Omnichannel
Next-Best-Actions

Market sizing and “likely” (undiagnosed/ misdiagnosed)
patient identification

Net sales forecasting

Early adopter modeling

HCP & patient segmentation using unsupervised ML

Therapy non-adherence risk modeling using SP & hub data

Treatment decision drivers modeling

Patient progression modeling using RWE & claims for predictive targeting

Descriptive patient level analyses (quantified patient flows/patient journeys)

What Axtria InsightsMAx^TM Offers

AI-Enabled
Interlinked Data

Maximize the value of data by bringing together siloed data-pockets across the enterprise. Centrally available on-demand data helps create robust operational strategies and deliver actionable insights.

Machine Learning & Natural Language Processing
Cloud Migration
Big Data Framework
Master Data Management
Cloud BI

Central, Reusable
Analytics Models

Pre-defined and customizable analytics modules can be used to assemble analytical frameworks of choice. By eliminating to create from scratch, the central modules repository encourage speed and efficiency.

Module-based modelling
Model validation
Model categorization
Information linkage for a single source of truth

Industrialized
Analytics

Open doors to cross-functional analyses with centrally available interlinked data. Collective decision-making towards common goals is now possible with Axtria InsightsMAx’s AI/ML-driven analytics workbench.

Democratize AI/ML capabilities with drag-and-drop analytics modules
Create Citizen Data Scientists
Develop AI/ML frameworks
Solve tough problems with AI/ML-backed ‘Innovation Labs’

Robust Governance
Framework

Drive complete data compliance and governance with Axtria InsightsMAx’s pre-defined business rules and KPI library. All the analytics modules are pre-approved within a robust governance framework.

Evaluation of AI/ML use cases
Approval after thorough due-diligence
Routine monitoring of project progress and teams working on each project

Axtria InsightsMAx^TM Differentiators

Discoverability

Cross organization knowledge transparency with ease of communications.

Empowerment

Role empowerment with a clear view of overall and role objectives.

Reusability

Standardized, reusable components in a single tool.

Automation

Real-time Decision turnaround for the journey of Data to Insights to Operations.

Collaboration

Transfer common objectives, localized to business and markets.

Interlinked Business
Operations

Common Sales, Marketing, Customer, and Patient Ecosystem.

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Customer Success Stories

Explore How Axtria Helps Life Sciences Businesses Achieve Commercial Success.

Targeted Field Operations With Predictive Analytics For Drug Adoption

Sophisticated Machine Learning (ML) algorithms can help identify high-probability adopters based on past trends, increasing sales conversions, prescription volume, and benefitting ...

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Predictive Analytics For A Healthcare Company To Improve Patient Care

Axtria brought its deep expertise in the predictive analytics and applied Machine Learning models in identifying misdiagnosed patients and helped the client onboard its patients on ...

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$15 Million Incremental Revenue With AI/ML Enabled Patient Adherence

Patient non-adherence is a big concern not just for the pharma manufacturers, but also for the physicians, especially with the increasing emphasis on improved patient lives. Treatm ...

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