THE ROLE OF DATA ANALYTICS IN SHAPING THE FUTURE OF INSURANCE

The insurance industry is undergoing a transformational disruption caused by the accelerated evolution of data analytics. Insurance companies relied on historical data, manual assessments, and universal risk models in the past. This has evolved to enable insurers to make faster, more accurate decisions using big data, analytics, and artificial intelligence (AI). The impact that data analytics have on areas like risk evaluation, policy underwriting, fraud detection, claims processing, and even customer interaction makes data analytics the single most important catalyst for the insurance industry’s future. Data analytics help streamline insurance operations to meet a few other crucial goals like efficiency, trust, and customer satisfaction. With one overarching goal defined as Loss Ratio Improvement. Loss ratio improvement defines an insurer’s ability to reduce the value of claims they must pay out in relation to the value of premiums they must receive to create a more profitable underwriting scenario.