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This IDC Perspective explores the transformative shift in the insurance industry from traditional data management to data productization, treating data as a strategic asset with defined ownership, life-cycle management, and measurable value. By structuring raw data into reusable products, insurers can enhance decision-making, improve risk assessment, and drive operational efficiency. However, trust in AI and data strategies remains a major challenge, with inadequate governance and data silos limiting adoption. This report provides guidance on why insurers must embrace data productization and how they can implement governance frameworks, foster collaboration, and unlock new revenue."Data productization is not just an operational shift but a competitive necessity. Insurers that fail to manage data as a strategic asset will struggle to keep pace with AI-driven innovation and evolving regulatory demands. By implementing these strategies, insurance organizations can transform their data landscape, ensuring long-term success in an increasingly data-driven industry." - Research Manager Davide Palanza, IDC Financial Insights Europe

Executive Snapshot

Situation Overview

• The Evolution from Data Management to Data Productization
• The Data Productization Blueprint
  • Conversion of Outputs to Domain-Specific Data Products
• Data Productization in Action: Key Examples
• Why Insurers Should Productize Their Data Assets
• Data Productization Challenges in Insurance
• Key Components of Insurance Data Productization
• Roadmap for Implementing Data Productization in Insurance
• The Role of Technology in Data Productization

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• Related Research
• Synopsis