Why are information policy, data administration, and data quality assurance esse

Question

Why are information policy, data administration, and data quality assurance essential for managing the firm’s data resources?

Emerson Process Management, a global supplier of measurement, analytical, and monitoring instruments and services based in Austin, Texas, had a new data warehouse designed for analyzing customer activity to improve service and marketing. However, the data warehouse was full of inaccurate and redundant data. The data in the warehouse came from numerous transaction processing systems in Europe, Asia, and other locations around the world. The team that designed the warehouse had assumed that sales groups in all these areas would enter customer names and addresses the same way. In fact, companies in different countries were using multiple ways of entering quote, billing, shipping, and other data. Assess the potential business impact of these data quality problems. What decisions have to be made and steps taken to reach a solution? PLEASE AVOID USING OTHER POST ANSWERS THANK YOU

Explanation / Answer

Answer:

Building up a database environment requires arrangements and techniques for overseeing authoritative information and additionally a decent information model and database technology. A formal data strategy oversees the support, dissemination, and utilization of data in the association. In vast organizations, a formal information organization function is in charge of data approach, and in addition for information arranging, information lexicon improvement, and checking information use in the firm.

Information that are mistaken, fragmented, or conflicting make genuine operational and money related issues for organizations since they may make errors in item valuing, client records, and stock information, and prompt off base choices about the moves that ought to be made by the firm. Firms must find a way to ensure they have an abnormal state of information quality. These incorporate utilizing endeavor wide information benchmarks, databases intended to limit conflicting and excess information, information quality reviews, and information purifying programming.

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