2024-12-01-艾昆纬-通过改进的数据和分析方法确保企业卓越（英）_17页_2mb

This white paper from IQVIA Consulting details an "evolved Data and Analytics Strategy 2.0" designed to help life sciences organizations overcome challenges in transforming data into actionable insights for commercial excellence. Key issues include inadequate data strategy alignment with business objectives and inefficient data management, leading to redundancy and costs. The paper emphasizes a holistic approach, grounded in business goals and use cases, and outlines six pillars: business alignment, governance, data quality, technology enablement, security and compliance, and integration with a data-driven culture.

An evolved strategy involves leveraging advanced analytics like AI/ML for deeper insights, improving data integration, and ensuring privacy compliance (e.g., HIPAA, GDPR). The 70-20-10 framework for innovation allocation is highlighted, with transformational projects offering highest returns. Benefits include enhanced decision-making, cost efficiency, and differentiation opportunities. Implementation requires assessing data maturity, prioritizing stakeholder engagement, and adopting tools like data catalogs. IQVIA consultants stress that without a proper strategy, risks like data breaches and inefficient resource use can hinder growth.

This approach positions data as a central driver of innovation and business success in evolving market conditions.