Inovalon Results Presentation Deck

Benefits of Inovalon's Massive Primary-Source Dataset The significant size, extensive breadth of data types, historical duration, recency timeliness, and fully linkable primary-sourced nature of Inovalon's datasets provides a uniquely rich, longitudinally matched real-world dataset able to empower highly differentiated and highly valued capabilities. Training Advanced Artificial Intelligence Algorithms Key to the development, training, and improvement of AI, ML, and DL algorithms is the depth, breadth, timeline duration, and timeliness of training datasets. As a result of Inovalon's unique datasets, the Company is able to apply a wide array of advanced machine learning, artificial intelligence, and deep learning algorithms to achieve highly differentiated, high-value impact within the Company's applications. Enabling Outcomes-Based and Relative-Performance Analytics All value-based engagements, outcomes-based contracts, risk-based payment models, and all quality incentive programs are based on relative performance - graded on a dynamic curve. Without knowing how the relevant comparative population is performing today, healthcare organizations are shooting in the dark, potentially wasting critical resources on the wrong issues. ¥ = Healthcare Organization INOV Q4 & FY 2019 Earnings Supplement (2.19.20) v1.0.0 Informing Patient-Specific & Consumer Solutions Healthcare is moving in a direction of increasing patient-specific engagements and consumerism focused offerings. The breadth, depth, and primary source nature of Inovalon's datasets is highly valuable and uniquely able to empower and deliver highly granular patient-specific consumer-focused insights, details, and empowerment, bringing to life what is believed to be the largest transformation segment of healthcare in the years ahead. Further, patient-specific data eliminates time-delays and operational costs otherwise caused today within the market when additional or confirmatory information is needed with respect to a specific patient or case. Supporting Large-Scale Real World Evidence (RWE) Research and Insights Inovalon's very-large scale RWE datasets empowers the Company to deliver solutions of great value to the pharmaceutical, device manufacturer, and research marketplace. RWE enables the healthcare ecosystem to make highly informed models, algorithms and decisions for numerous use cases including diagnosis and treatment protocol determination tools, clinical trial design and execution, medication formulary optimization, outcomes-based contract structuring and honing, payment model design, and many other use cases. ロロ 11010110 01101011 9

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