DATA RESOURCE MANAGEMENT

Data Resource Management



Table of Contents

Data Resource Management3

Introduction3

Business Information Demand4

Data Resource Quality6

Common Data Architecture6

John Zachman's "Framework"8

Implications13

A New Direction18

Conclusion18

References20

Data Resource Management

Introduction

The importance of Data Management is implementing data resource management processes and technologies in an organization. In order to better know, it is process of managing the data resources of a business. According to this definition, “Data Management comprises all the disciplines related to Managing Data as a valuable resource. Data Resource Management is the development and execution of Architectures, policies, practices and procedures that properly manage the full data lifecycle needs of an enterprise. So this is broad concept of it. There are number of Professions but have no good technical contact with lower-level aspects of Data Management, Such as relational Database Management. As soon as the technology increase (lower cost for more performance), user requirements increased (faster data load cycle times and more features) data warehouses have evolved through several fundamental stages:

That was ability of Data Software Houses to get the data from the immense Data sources, such as mainframe computers, minicomputers, as well as personal computers and office automation software such as spreadsheet, in which information was brought in place where this was need. (Ling , 2009)

There are the numbers of IT based organization and company which needs the process of the quick growing amount of information. And also companies and organizations today is giving the preference to outsource data entry works to offshore locations, because it is a cost effective and more profitable option, and leave management headaches as well. (Ling , 2009)

The trend of outsourcing data entry, like offshore, has taken the top place dramatically in recent years. Key reasons include increased bandwidth, faster scanners and data processors, more standardization for data transfer, and the opportunity for competitive advantage created by round-the-clock business days and compressed cycle time. For many users, this is an outsourcing data entry work which is an appropriate and useful. This is for those who want to focus on the core processes and leave data entry work. Whatever data entry work is left is done by those who are reliable service and are specialist in the field of data entry. (Beynon, 2004)

Data administration has not been an effective way to manage an organization's data resource.. People have tried to administer the data with an orientation toward the data, rather than towards support of the business. Many organizations have been, and still are, oriented toward the technology aspect of information technology by trying every new technology that comes along hoping that it will help them administer the data and provide better business support. They are looking for that elusive silver bullet and are sacrificing future business support for current needs.

A new direction is needed that focuses on managing data as a critical resource of the organization to directly support its business activities. The data resource must be managed with the same intensity and formality that other critical resources are managed. Organizations must emphasize the information aspect of information technology, determine ...