Commercial Data Platform

The Commercial Data Platform is designed to drive commercial excellence from the launch of a drug through its market maturity. It offers a configurable solution for centralizing real-world and commercial operations data for life sciences customers in a single location. By applying advanced analytics and AI models trained specifically for life sciences, it ensures that users derive the most valuable insights from their commercial data, accelerating the journey from data to insights.

This platform integrates data from various sources and is interoperable with all major commercial platforms and data vendors. It effectively breaks down data silos by connecting to any commercial data system, allowing field representatives, sales operations leads, managers, and business intelligence teams to gain a unified view of their data. With over 100 prebuilt KPIs and metrics, the platform is easy to set up and provides role-specific applications and dashboards.

Benefits

• Accelerating speed to insights: The platform empowers clinical teams to capture data from any source using 40+ pre-built connectors and file-based ingestion, reducing the time to uncover valuable insights from months to weeks.
• Harness the power of GenAI: By utilizing Generative AI, the platform delivers predictive and prescriptive insights, offering actionable recommendations tailored to unique business challenges.
• Bending the cost curve: Proprietary accelerators reduce the expenses of developing and implementing the data platform by approximately 40%, ensuring rapid deployment and scalability without compromising quality.
• Breaking down data silos: The platform consolidates and integrates data from diverse sources, providing comprehensive, integrated data views for enhanced visibility and informed decision-making.

Features

• Data Path & DQM: Pre-defined data onboarding workflows accelerate data ingestion, cleansing, transformation, and quality control.
• Ingestion & Cataloging: Connect to various data sources using pre-built connectors and track all data assets.
• MDM: Intelligent mastering of disparate data sources ensures accuracy and consistency using modern technologies with pre-defined rules and stewardship.
• Trusted Cloud Platform: A highly secured cloud infrastructure protects sensitive data and ensures compliance.
• Standard Data Model: A data model framework leveraging industry standards provides a comprehensive view of the data.
• Data Governance: An extensive framework governs user roles, processes, and technologies used for data management.
• Business Rules Engine: A configurable engine with pre-defined rules for data aggregation and KPIs.
• Rapid Reporting Marts: Pre-aggregated data layers and metrics provide a quick start for reporting and visual analytics.

A case study highlights a leading pharmaceutical company focused on rare diseases that required a scalable commercial analytics platform for their next breakthrough launch. Saama's solution integrated and standardized data from over 12 disparate sources, providing real-time insights to key users. This helped the company better understand patient movements and healthcare provider interactions, improving targeting, segmentation, and sales performance measurement.

The impact included a centralized hub for commercial sales, marketing, contracting, patient, and real-world evidence data, automated data operations, and accelerated decision-making with prebuilt commercial KPIs and product launch metrics.