Optimize Business Outcomes with Commercial Analytics Enterprise Cloud
Transform commercial analytics in pharma and life sciences with ciPARTHENON™. Gain real-time intelligence, dynamic targeting, and retention with a seamless, end-to-end app suite.
Current Landscape of Commercial Analytics for Life Sciences Companies
Challenge
Commercial Analytics Center of Excellence teams are now playing a crucial role in various business functions within life sciences organizations. They require fully integrated commercial analytics apps to make the most out of their limited resources and budgets.
Solution
Commercial analytics apps like ciPARTHENON™ empower Center of Excellence teams with real-time field insights, patient analytics, dynamic targeting, and launch monitoring solutions. These apps are designed to transform commercial analytics in pharma and life science industries, enabling teams to make informed decisions and drive successful outcomes.
Apps Suite for Commercial Analytics in Pharma & Life Sciences
We solve for all your needs in commercial analytics in pharma and life sciences space. Competition in life science commercial analytics focuses on specific business functions(s), not the entire spectrum, and therefore, doesn’t solve the problem of point solutions and functional silos.
POWERED BY
ciPARTHENON
Forecasting Suite
It uses advanced pharmaceutical commercial analytics and modeling to generate accurate forecasts for product demand and sales performance. Essential for pharmaceutical companies, it aids in anticipating market needs, optimizing inventory, and planning production schedules. With features like predictive modeling and real-time adjustments, it provides decision-makers with actionable insights for informed strategic decisions in the industry.
What it does: Uses advanced pharmaceutical commercial analytics and modeling to generate accurate forecasts for product demand and sales performance.
Value: Helps accurately predict marketing needs by optimizing inventory and planning production schedules.
Dynamic Targeting
This strategy involves regularly analyzing and updating data to improve the selection of target HCPs based on prescription patterns, engagement history, geography, and other relevant factors. ciPARTHENON™ processes extensive data, enabling pharmaceutical and life sciences companies to dynamically adjust target lists. This ensures efficient allocation of marketing resources, maximizing impact and improving engagement with healthcare professionals.
What it does: Regularly analyzes and updates data to improve the selection of target HCPs based on prescription patterns, engagement history, geography, and other relevant factors.
Value: Ensures efficient allocation of resources by maximizing impact and improving engagement with HCPs.
Launch Performance Tracking
Systematically monitor key metrics during the launch of a new product using pharma commercial data analytics. This includes tracking sales, market share, customer feedback, growth patterns, coverage, patient access, inventory, and shipments. Gain valuable insights to optimize commercial success in a competitive market.
What it does: Systematically monitors key metrics during the launch of a new product using pharma commercial data analytics, such as tracking sales, market share, customer feedback, growth patterns, coverage, patient access, inventory, and shipments.
Value: Gives insight to track key performance indicators to optimize decision-making around launch milestones.
Comprehensive Patient Journey Analytics
This app is a data-driven healthcare solution encompassing multiple modules for in-depth analysis of patient experiences and healthcare operations. It offers a holistic view of patient data, from source analysis to claims outcomes, empowering healthcare organizations with actionable insights. It enables data-driven decision-making and optimization, fostering better patient care, operational efficiency, and resource allocation.
What it does: Offers a holistic view of patient data- from source analysis to claims outcomes- empowering healthcare organizations with actionable insights on diagnostic pathways.
Value: Enables data-driven decision-making and optimization, fostering better patient care, operational efficiency, and resource allocation.
Patient Audit
It facilitates the rapid generation of decisive insights for both existing and upcoming drug assets. It achieves this based on three key parameters:
- Diagnostic claims data is utilized to aggregate and generate insights at the ICD-10 level.
- Pharmacy claims data is employed to aggregate and generate insights at the NDC level.
- Medical claims data is used to aggregate and generate insights at the J-code level.
What it does: Facilitates insights for both existing and upcoming drug assets based on three key datasets: Diagnostic claims, Pharmacy claims, and Medical claims
Value: Delivers evidence-backed insights across diagnosis, treatment, and procedures for smarter planning for both marketed and pipeline drugs.
Self-Serve Analytics Sandbox
It allows users to independently access, analyze, and experiment with data without the need for constant IT intervention or support. It serves as a "playground" for data analysts, business users, or any stakeholders to explore and derive insights from commercial data while ensuring data governance and security.
What it does: Allows users to independently access, analyze, and experiment with data without the need for constant IT intervention.
Value: Allows for data analysts, business users, and stakeholders to explore and derive insights from commercial data while ensuring data governance and security.
Advanced Pre-Built Visualisations to Surface
Insight with Speed
- Ready to deploy pre-built modules.
- Set notifications and alerts.
- Customized view across modules.
Maximize business outcomes through life science commercial analytics for unparalleled success
