文件名称：DMM数据管理-成熟度模型方法论
文件大小：2.75MB
文件格式：PDF
更新时间：2021-03-28 09:44:04
数据治理
The Enterprise Data Management Council has entered into a strategic partnership with the Software Engineering Institute (SEI) of Carnegie Mellon University (CMU) to create a detailed and auditable data management maturity (DMM) model. The DMM defines the components of data management at the specific business-process level so that organizations can assess themselves against documented best practices and improve their management of data resources across functional, business unit and geographic boundaries. The core DMM content model was developed via collaboration among data management practitioners, operational managers, IT professionals and representatives of various lines-of-business. The components and incremental capability measurement criteria are based in practical reality of what is required to achieve alignment on strategy, implement governance mechanisms, manage operational components, define dependencies, align with IT capabilities, ensure data quality and integrate trusted data into downstream applications.