EXPERIENCE

Peter H. Aiken
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引用次数: 7

Abstract

In a manner similar to most organizations, BigCompany (BigCo) was determined to benefit strategically from its widely recognized and vast quantities of data. (U.S. government agencies make regular visits to BigCo to learn from its experiences in this area.) When faced with an explosion in data volume, increases in complexity, and a need to respond to changing conditions, BigCo struggled to respond using a traditional, information technology (IT) project-based approach to address these challenges. As BigCo was not data knowledgeable, it did not realize that traditional approaches could not work. Two full years into the initiative, BigCo was far from achieving its initial goals. How much more time, money, and effort would be required before results were achieved? Moreover, could the results be achieved in time to support a larger, critical, technology-driven challenge that also depended on solving the data challenges? While these questions remain unaddressed, these considerations increase our collective understanding of data assets as separate from IT projects. Only by reconceiving data as a strategic asset can organizations begin to address these new challenges. Transformation to a data-driven culture requires far more than technology, which remains just one of three required “stool legs” (people and process being the other two). Seven prerequisites to effectively leveraging data are necessary, but insufficient awareness exists in most organizations—hence, the widespread misfires in these areas, especially when attempting to implement the so-called big data initiatives. Refocusing on foundational data management practices is required for all organizations, regardless of their organizational or data strategies.
经验
与大多数组织类似,大公司(BigCo)决心从其广泛认可的大量数据中战略性地获益。(美国政府机构定期访问BigCo,学习其在这方面的经验。)面对数据量的爆炸式增长、复杂性的增加,以及对不断变化的环境做出反应的需求,BigCo努力使用传统的、基于信息技术(IT)项目的方法来应对这些挑战。由于BigCo不懂数据,它没有意识到传统方法行不通。该计划实施了整整两年,BigCo远未实现最初的目标。在取得成果之前还需要多少时间、金钱和努力?此外,能否及时取得成果,以支持更大的、关键的、技术驱动的挑战,这些挑战也依赖于解决数据挑战?虽然这些问题仍未得到解决,但这些考虑增加了我们对数据资产与IT项目分离的整体理解。只有将数据重新视为一种战略资产,组织才能开始应对这些新的挑战。向数据驱动型文化的转变需要的远不止技术,它仍然只是三个所需的“凳子腿”之一(人和流程是另外两个)。有效利用数据的七个先决条件是必要的,但大多数组织都没有充分认识到这一点,因此,在这些领域普遍存在失败,特别是在试图实施所谓的大数据计划时。所有组织都需要重新关注基础数据管理实践,无论其组织或数据策略如何。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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