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Data Quality Issues And Solutions For Enterprise Energy Management Applications (Part Ⅱ)

机译:企业能源管理应用程序的数据质量问题和解决方案(第二部分)

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摘要

Addressing energy-related data quality issues takes a combination of the right tools and the right process. Using a data quality software application can address individual issues; however, a commitment from management and the availability of the proper resources is needed to ensure data quality assurance is an ongoing process. Data quality needs a champion to drive the program and one or more data stewards to execute the necessary steps. Given the importance of energy as a key commodity for an organization, and in turn its impact on profits, the champion can be anyone from an executive through middle management level, including corporate energy managers, operations or facilities managers, or engineering managers. In terms of day-to-day execution, data cleansing tasks are typically assigned to one or more people within a facility management group, someone with a title such as data administrator, or clerical staff specially trained in the data quality tools and rules. Often, it makes more sense for a business to concentrate on its core competencies and outsource the data quality function to an energy management services company.
机译:解决能源相关的数据质量问题需要结合正确的工具和正确的过程。使用数据质量软件应用程序可以解决各个问题;但是,需要管理层的承诺和适当资源的可用性,以确保数据质量保证是一个持续的过程。数据质量需要一位负责人来驱动程序,并需要一个或多个数据管理员来执行必要的步骤。鉴于能源对于组织而言是关键商品的重要性,进而影响其对利润的影响,拥护者可以是从高管到中层管理人员的任何人,包括公司能源经理,运营或设施经理或工程经理。在日常执行方面,通常将数据清理任务分配给设施管理组中的一个或多个人员,具有数据管理员等头衔的人员或经过数据质量工具和规则培训的文职人员。通常,对于企业来说,专注于其核心能力并将数据质量功能外包给能源管理服务公司更有意义。

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