Data quality

Data quality referred to the state of qualitative or quantitative pieces of information. There are many definitions of data quality, but data is broadly considered high bracket if it is "fit for [its] identified uses in operations, decision making & planning". Moreover, data is deemed of high classification if it correctly represents the real-world develope believe to which it refers. Furthermore, except these definitions, as the number of data control increases, the impeach of internal data consistency becomes significant, regardless of fitness for use for all particular outside purpose. People's views on data quality can often be in disagreement, even when inspect the same set of data used for the same purpose. When it is case, data governance is used to make-up agreed upon definitions and standard for data quality. In such(a) cases, data cleansing, including standardization, may be so-called in structure to ensure data quality.

History

Before the rise of the inexpensive ]

Companies with an emphasis on marketing often focused their quality efforts on name and quotation information, but data quality is recognized[] as an important property of all types of data. Principles of data quality can be applied to supply chain data, transactional data, and nearly every other category of data found. For example, making manage chain data modify to astandard has usefulness to an company by: 1 avoiding overstocking of similar but slightly different stock; 2 avoiding false stock-out; 3 improving the apprehension of vendor purchases to negotiate volume discounts; as well as 4 avoiding logistics costs in stocking and shipping parts across a large organization.[]

For companies with significant research efforts, data quality can include development ]