Operational Data: Data quality is one of the key features of enterprise data management. The data obtained from the operational system is low quality data because of the following reasons: Obtaining the data from outside the organization. Redundant storage of data and inconsistent metadata. Problems while entering data due to poor interfaces, manual mistypes of data. The poor quality of the data is not recognized by the organization itself is an issue. Data warehouse: Data warehouse contains the collection of data that are used for decision making and business intelligence. It is a unique kind of database so it focuses on business intelligence, time variant data, and external data. It is a subject-oriented, integrated, time-variant, and non-updateable data.

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Chapter 13, Problem 7RQ

Program Plan Intro

Operational Data:

Data quality is one of the key features of enterprise data management.

The data obtained from the operational system is low quality data because of the following reasons:

Obtaining the data from outside the organization.

Redundant storage of data and inconsistent metadata.

Problems while entering data due to poor interfaces, manual mistypes of data.

The poor quality of the data is not recognized by the organization itself is an issue.

Data warehouse:

Data warehouse contains the collection of data that are used for decision making and business intelligence.

It is a unique kind of database so it focuses on business intelligence, time variant data, and external data.

It is a subject-oriented, integrated, time-variant, and non-updateable data.

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Give three examples of likely problems when operational data is integrated into a data warehouse.While working as a database analyst for a national sales organization,you are asked to be a part of its data warehouse project team.

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