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- W956270953 abstract "This chapter discusses some of the fundamental practices of data organizing that have to take place in any software engineering development process. As there are many different methods that are focused on many levels, there will be no specific focus until there has been a more detailed discussion of each of the methods. It discusses different techniques that are currently used and their advantages and disadvantages. In corporate data architecture, there are basic corporate data principles or policies that must be in place and adhered to in order for the effort to work. Corporate data policy states that data must be assembled and maintained in an integrated manner in order to support the evolving business needs and to ensure customer service of the highest quality, data and the structures and constructs used to develop and house it are renewable and reusable assets for the corporation they need to be secured in the most prudent manner possible, data must be of the highest quality and integrity possible to ensure that business decisions made using it are responsive to the needs in a dynamic and competitive business environment, data must be stored or placed in the structures and locations most appropriate to its optimal utilization and safekeeping by using the best options available in the technology forum, data ownership policies and custodial responsibilities must be defined in order to ensure the accountability of the needed quality and integrity within the organization, and data must be captured, validated, scrubbed, and utilized according to industry-wide standards and methods using accepted tools and techniques that ensure consistency." @default.
- W956270953 created "2016-06-24" @default.
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- W956270953 date "2011-01-01" @default.
- W956270953 modified "2023-09-26" @default.
- W956270953 title "Data Organization Practices" @default.
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- W956270953 doi "https://doi.org/10.1016/b978-0-12-385126-0.00009-7" @default.
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