Information Technology Management: The Roles Of Enterprise Information Management

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Over the past years, the information and technology the organizations manage have become increasingly complex and hard to maintain. Therefore, Enterprise Information Management (EIM) emerges as a strategic business discipline that through Data Governance, plans, monitors, enforce, and control the decision-making process within the organization. This process combines key components such as: Data Architecture Management, Data Development, Database Operations Management, Data Security Management, Data Warehousing & Business Intelligence Management, Meta Data Management, and Data Quality Management etc. to formalize the way activities associated with data storage, access, and handling is manage across the organization.
In this assignment the role of people, as well as, how their tasks relate to data and information management will be examined. The following roles will be described and compared in the light of Enterprise Information Management (EIM) context within the organization. The roles selected were: Enterprise
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Many organizations found that even if the data extracts, mappings, transformations, and loads were executed as planned, poor quality data still entered the data warehouse environment. Thus a new role, the data quality analyst (DQA), was created to help ensure that data loaded into the data warehouse met the informational requirements of the organization.
The five major responsibilities of the data quality analyst are: review data loaded into the data warehouse for accuracy, recommend maintenance enhancements to data acquisition processes to improve accuracy of data warehouse data, make recommendations to operational support for enhancements to systems of record to improve accuracy of operational data, review referential integrity of data warehouse data, and review historical integrity of data warehouse

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