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 InsightsMAxTM

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 InsightsMAxTM 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

Slide 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 Green Line Marketing impact/ ROI assessment HCP and account valuation HCP segmentation and targeting Marketing mix modeling Blue Line 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 InsightsMAxTM 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​
AI-Enabled Interlinked Data
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​
Central Reusable Analytics Data Models
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’​
Industrialized Analytics
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​
Robust Governance Framework

Axtria InsightsMAxTM Differentiators

1_discoverbility

Discoverability

Cross organization knowledge transparency with ease of communications.

2_empowerment

Empowerment

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

3_reusability

Reusability

Standardized, reusable components in a single tool.​

4_automationn

Automation

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

5_collaborationn

Collaboration

Transfer common objectives, localized to business and markets.​

6_ibo

Interlinked Business
Operations

Common Sales, Marketing, Customer, and Patient Ecosystem.

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Executive Insights And Perspectives On The Life Sciences Industry.

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