| Effective Data-driven Insight Development fosters innovation, optimizes decision-making, and mitigates risks associated with uninformed strategies, directly impacting business service agility andmarket competitiveness. A comprehensive Insight Development process will reveal data quality issues, analytical capability gaps, and misalignments between data strategy and business intelligence needs. These gaps should be addressed through a structured data governance roadmap and analytical platform modernization plan. To minimize disruption, this process must align with the company's data security framework, regulatory reporting requirements, and strategic digital transformation initiatives. Insight delivery must be achieved with agility. Successful execution will enhance stakeholder trust, improve operational foresight, and ensure regulatory compliance. Ownership of data integration and analytics platform evolution will require dedicated enterprise architecture leadership. How do you plan to conduct an effective EA-driven Data-driven Insight Development process to achieve these objectives?
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