Core Insights - The article emphasizes the importance of establishing a data and AI strategy that addresses real user challenges and is understandable to executives, stakeholders, and frontline data workers [1] Group 1: Data Governance - Successful data governance requires a non-intrusive approach to engage target audiences, particularly for Chief Data Officers (CDOs) [1][2] - CDOs must develop data governance policies and standards that align with organizational risk profiles, ensuring data quality and regulatory compliance [2][3] - The ultimate goal of data governance is to establish clear policies, standards, and data ownership to ensure high-quality data and positive ROI [3][4] Group 2: Data Innovation - Data innovation relies on how users extract insights from existing data to address strategic applications, particularly in regulated industries like banking and insurance [5][6] - Creating a portfolio of use cases is essential for data innovation, allowing for ROI tracking and avoiding the pitfalls of a "catch-all" approach [6][7] - Prioritizing use cases based on stakeholder needs and organizational goals is crucial for validating small-scale value [7][8] Group 3: Data and AI Analytics - Data and AI analytics are significant consumers of data, necessitating faster access to enhance data availability and usability [10] - Key elements for achieving positive ROI in data analytics include self-service data access and the creation of a single data source [10][11] - Gamification can foster a collaborative culture among data analysts, enhancing data literacy and encouraging contributions to strategic use cases [11][12] Group 4: Data Culture - Building a data culture is challenging due to the perceived risks of not immediately demonstrating value [13] - A non-intrusive approach to data literacy training can help integrate data responsibilities into job descriptions, ensuring accountability [13][14] - Coordinating governance, innovation, analytics, and culture can transform data and AI into valuable organizational assets [14][15]
成功的数据与人工智能战略是什么样的
3 6 Ke·2025-11-12 04:31