Published: 17 April 2023
企业机构的数据和分析（D&A）治理仍然面临巨大挑战，治理项目往往采用错误的最佳实践，造成时间、精力和投资的浪费。D&A领导者应参考本文，评估企业机构当前的D&A治理成熟度，并采取相应的最优行动，确保治理取得成功。
企业机构对于数据和分析（D&A）的期望持续攀升，希望借助其推进数字化目标。要实现这一点，有效的D&A治理是基础。然而，企业机构当前的D&A治理能力还远不能满足需求。
Gartner客户问询显示，D&A领导者往往并不了解治理成熟度与所需最佳实践之间的关联。在这种情况下，下一步行动如若不当，可能会导致治理混乱、成本上升，甚至治理失败。
为成功落实D&A战略，D&A领导者应：
使用Gartner的D&A成熟度评估计分工具，评估企业机构当前的D&A治理成熟度。在此基础上，参照计分模型以及本文内容，根据计分结果确定并采取与企业机构D&A治理成熟度相匹配的下一步行动。
如需启动治理项目，应专注于进行有力的业务论证，帮助业务利益相关者了解治理在推动业务成果方面的作用。
如需推进当前治理项目，应着力解决信任、风险管理和数据伦理问题，并且随企业机构的不断发展对治理项目进行扩展。
如已实现高水平的治理，则应在D&A治理模式中引入自适应治理实践。将改善D&A文化作为治理工作的重点，提高人员、数据和算法的多样性，以实现准确、合乎伦理的人工智能（AI）成果。
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