ACG 3401 Chapter Notes - Chapter 1: Data Redundancy, Unique Key, Materials Management

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The objective is to ensure that event data entering the system are valid, complete, and free from material errors. Two rules govern the design of data collection procedures: relevance filter out irrelevant facts from the system, capture only relevant data, efficiency designed to collect data only once, avoid data redundancy. Once collected, data usually requires processing to produce information. Data processing tasks range from simple to complex. The organization"s database is its physical repository for financial and nonfinancial data. Data attribute is the most elemental piece of potentially useful data in the database. An attribute is a logical and relevant characteristic of any entity about which the firm captures data. A record is a complete set of attributes for a single occurrence within an entity class. Every record in the database must be unique in at least one attribute; this unique identifier attribute is called the primary key.

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