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• Expectations from wholesalers, Stockists, Retailers/Chemists and Physicians.
• Factors influencing wholesalers, Stockiest, Retailers/Chemists and Physicians to take-off a company’s product.
• How replenishment happens at chemist on stock out.
• Behaviour towards patient/customer by chemist/retailer on stock out.
• Ascertain reasons for stock out/stock pile-up at different levels of supply chain.
• Impact on demand pattern due to stock out.
• Estimate demand, inventory control, SKU analysis.
• Creation of Consolidated Master File (CMF) which includes information on Drugs, wholesalers, stockists, Retailers/Chemists and Physicians, regions, inventory, supply-chain, etc.,
• Medical Representative and Physician alignment according to specialization.
• FTE calculations of Reps on weekly and monthly basis.
• Rx and TRx data analysis.
• Ascertaining Physician Accessibility based on number of calls received in a specified period.
• Data Extraction on drugs from calls made by Reps to Physicians or Hospitals.
• Creation of Data Supply System (DSS) from Reps and Physicians.
• APLD and HCOS data analysis.
Life sciences
With data analytics availing expedite magnification and revelation across multiple industries, life science organizations have made great strides towards
becoming analytics-driven through harvesting astuteness from their content from multiple repositories.
We avail companies to accumulate mission-critical data, enhance transparency across supply chain and amend collaboration between suppliers, partners and customers.
Life- Science Analytics Services:
• Fast access to real-world evidence. Directly interact with real-world data. Quickly determine study feasibility based on the number of patients meeting criteria.
Extract patient populations interactively to reduce required time and resources. Identify patient populations without coding. Reuse and modify criteria against
other real-world data assets to compare across populations, reducing time and improving efficiency.
• A complete analytical toolset. Access an analytics library of methodologies that include simple descriptive statistics,
predictive analytics and machine learning methods to compare outcome variables of interest across or within patient/member cohorts.