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Data: A Sea Change Ahead

机译:数据:即将发生巨变

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If I'm reading the tea leaves correctly, we're on the verge of a sea change in the way organizations manage data. I'm referring specifically to data quality, which has been a thorn in management's side for some time. Data quality — in the "BIG-Q" sense — means having the right and correct data in the right format, in the right place, at the right time to complete an operation, satisfy a client, conduct an analysis, or make and execute a plan. BIG-Q data quality elevates the people using data to the role of customers and recognizes that they are the final arbiters of its quality. Implicit in BIG-Q data quality is that customers can effectively complete their tasks millions of times a day at the lowest possible cost. BIG-Q data quality means that a firm need not worry that its data is incorrect in risk, regulatory and compliance activities. It means that clients, regulators and others can trust opinions, reports and statements. It means that the firm can exploit ever-expanding technological capabilities to take in, assimilate, organize and process massive quantities of new data to better understand clients, markets and products.
机译:如果我正确地阅读了茶叶,那么组织管理数据的方式将面临巨变。我指的是数据质量,这在一段时间以来一直困扰着管理层。数据质量-在“ BIG-Q”意义上-意味着在正确的位置,正确的时间,正确的格式以正确的格式拥有正确和正确的数据,以完成操作,使客户满意,进行分析或进行并执行一个计划。 BIG-Q数据质量将使用数据的人员提升为客户的角色,并认识到他们是数据质量的最终决定者。 BIG-Q数据质量的隐含含义是,客户可以以最低的成本每天有效地完成数百万次任务。 BIG-Q数据质量意味着公司不必担心其数据在风险,法规和合规性活动中的准确性。这意味着客户,监管机构和其他人员可以信任意见,报告和声明。这意味着公司可以利用不断扩展的技术能力来吸收,吸收,组织和处理大量新数据,从而更好地了解客户,市场和产品。

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