data accuracy
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Data profiling — is the process of examining the data available in an existing data source (e.g. a database or a file) and collecting statistics and information about that data. The purpose of these statistics may be to: Find out whether existing data can easily… … Wikipedia
Data quality — Data are of high quality if they are fit for their intended uses in operations, decision making and planning (J. M. Juran). Alternatively, the data are deemed of high quality if they correctly represent the real world construct to which they… … Wikipedia
Data loss prevention software — Data Loss Prevention (DLP) is a computer security term referring to systems that identify, monitor, and protect data in use (e.g. endpoint actions), data in motion (e.g. network actions), and data at rest (e.g. data storage) through deep content… … Wikipedia
Data collection — is a term used to describe a process of preparing and collecting data, for example, as part of a process improvement or similar project. The purpose of data collection is to obtain information to keep on record, to make decisions about important… … Wikipedia
Data integrity — in its broadest meaning refers to the trustworthiness of system resources over their entire life cycle. In more analytic terms, it is the representational faithfulness of information to the true state of the object that the information represents … Wikipedia
Data loss prevention products — Data Loss Prevention (DLP) is a computer security term referring to systems designed to detect and prevent the unauthorized transmission of information from the computer systems of an organization to outsiders. It is also referred to by various… … Wikipedia
Data Intensive Computing — is a class of parallel computing applications which use a data parallel approach to processing large volumes of data typically terabytes or petabytes in size and typically referred to as Big Data. Computing applications which devote most of their … Wikipedia
Data governance — is an emerging discipline with an evolving definition. The discipline embodies a convergence of data quality, data management, data policies, business process management, and risk management surrounding the handling of data in an organization.… … Wikipedia
Data consistency — summarizes the validity, accuracy, usability and integrity of related data between applications and across an IT enterprise. This ensures that each user observes a consistent view of the data, including visible changes made by the user s own… … Wikipedia
Data quality control — is the process of controlling the usage of data with known quality measurement for an application or a process. This process is usually done after a Data quality assurance process, which consists of discovery of data inconsistency and correction … Wikipedia
Data quality assessment — is the process of exposing technical and business data issues in order to plan data cleansing and data enrichment strategies. Technical quality issues are generally easy to discover and correct, such as • Inconsistent standards in structure,… … Wikipedia
