Predictive analytics for pharmacists and clinicians

The pharmaceutical and life sciences industry is full of uncertainties—from clinical research and manufacturing to sales and marketing. Realize clinical and business goals in the midst of constantly changing regulations, clinical research anomalies, variable client preferences, and deteriorating health outcomes by incorporating machine learning and predictive pharma analytics into operations. Leverage predictive analytics to increase R&D productivity, proactively forecast product demand, improve marketing campaigns, and experience growth in sales.

Pharma and life sciences analytics use cases

Solutions - Pharma Dashboard - Retinopathy Treatment

RESEARCH AND DEVELOPMENT

CLINICAL TRIALS
ANALYSIS

CROSS STUDY
ANALYSIS

DRUG
EFFECTIVENESS

CLINICAL
TRIALSITE HEALTH

OPERATIONS

PROCUREMENT
ANALYSIS

MANUFACTURING
ASSET PERFORMANCE

INVENTORY CONTROL

FINANCIAL
PERFORMANCE

MARKETING AND SALES

CUSTOMER
SEGMENTATION

PRODUCT DEMAND
FORECASTING

SALES
PERFORMANCE

PRICING
OPTIMIZATION

RISK MANAGEMENT

ADVERSE
EVENTS ANALYSIS

SAFETY
MONITORING

ANOMALY
DETECTION

FORECASTING REGULATORY
REQUIREMENTS

Pharma and Life Sciences solutions at a glance

ANALANCE SOLUTION :

Unify data from domain specific silos for product R&D and use machine learning algorithms to make performance predictions. Using classification techniques, mitigate risk and predict drug adoption success and drug effectiveness. Using clustering methods, predict market demand for different medicines to help inform development and distribution decisions.

ANALANCE SOLUTION :

Identify optimal sites for clinical trials through predictive modelling. Using historical data such as the number of treated patients, country location, and protocol complexity, conduct an Adverse Events Analysis to evaluate potential sites beforehand to better predict site health and prevent clinical trial failures.

ANALANCE SOLUTION :

Identify the effectiveness of a prescribed treatment using machine learning to ensure a patient receives optimal treatment. Using survivability analysis, determine the timeframe in which the treatment might become ineffective. These insights can be used to inform drug development and make crucial decisions in drug composition and production.

ANALANCE SOLUTION :

Streamline sales operations and improve performance significantly. Using cluster analysis, group medical practitioners based on relevant dimensions, such as their likelihood to prescribe a brand of medicine. With these defined segments, gain a better profile of doctors in order to personalize sales efforts and effectively upsell and cross sell products.

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Why enable predictive analytics?

ADVANCED AND AGNOSTIC

Optimize decision-making and business processes with one analytics platform that scales from BI to Advanced Analytics. Reduce costs and the security risks of having multiple solutions.

PREDICTIVE AND ACTIONABLE

Out-of-the-box ML algorithms make it easy to explore data. Get visibility into future outcomes and extract valuable recommendations to inform business strategies.

AUTOMATED AND EASY

A simplified UI allows citizen data scientists to model and visualize data effortlessly. Discover patterns and find opportunities in your data using smart tools with built-in ML capabilities.

ENABLES AND EMPOWERS

Change how executives, analytics leaders, business users, and data scientists work with data. Reduce long hours and repetitive work that’s prone to error.

Analance empowers organizations with data analytics for better storytelling and predictive insights that help scale business outcomes.