Running head: DATA MANAGEMENT ON INFORMATION SYSTEM
Data Management on Information System
DATA MANAGEMENT ON INFORMATION SYSTEM
Data management is a wide spectrum that covers acquisition of data, data validation,
storage of data, data protection and data processing for assurance of the required data. As
such, this ensures accessibility, data reliability and data efficiency or timeliness to end users.
On the other hand, data is a useful raw material that can be described as unprocessed
information (Loshin, 2011). The essay focuses to address the cost or risks associated with
data quality. Further, the paper will also discuss and explain data mining and text mining.
Similarly, there are several costs or risks experienced by most enterprises that are
linked to low quality of data. Poor data quality impacts financial inputs as errors are incurred
as result of inaccuracy during data entry, which occasionally results in editing cost and time
wastage. In addition, poor data also may lead businesses to risks, such as losing customers as
a result of unreliability and poor timeliness. Additionally, poor data may as well imply a
negative effect on businesses where the decision-making processes is delayed; thereby,
causing low performance and ineffectiveness (Haug, Zachariassen & Liempd, 2011).
Equally, in business, low data quality increases the operational cost due...
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