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The cost of a data loss event is directly related to the value of the data and the length of time that it is unavailable yet needed. For an enterprise in particular, the definition of cost extends beyond the financial and can also include time. Consider: The cost of continuing without the data; The cost of recreating the data
Data degradation is the gradual corruption of computer data due to an accumulation of non-critical failures in a data storage device. It is also referred to as data decay, data rot or bit rot. [1] This results in a decline in data quality over time, even when the data is not being utilized.
In process improvement efforts, quality costs tite or cost of quality (sometimes abbreviated CoQ or COQ [1]) is a means to quantify the total cost of quality-related efforts and deficiencies. It was first described by Armand V. Feigenbaum in a 1956 Harvard Business Review article.
Existing database systems use volatile storage (i.e. the main memory of the system) for different purposes: some store their whole state and data in it, even without any durability guarantee; others keep the state and the data, or part of them, in memory, but also use the non-volatile storage for data; other systems only keep the state in main ...
Data loss prevention (DLP) software detects potential data breaches/data exfiltration transmissions and prevents them by monitoring, [1] detecting and blocking sensitive data while in use (endpoint actions), in motion (network traffic), and at rest (data storage). [2] The terms "data loss" and "data leak" are related and are often used ...
Cost of poor quality (COPQ) or poor quality costs (PQC) or cost of nonquality, are costs that would disappear if systems, processes, and products were perfect. COPQ was popularized by IBM quality expert H. James Harrington in his 1987 book Poor-Quality Cost. [1] COPQ is a refinement of the concept of quality costs.
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In contrast, data holdings are collections of gathered data that are informally kept, and not necessarily prepared for long-term preservation. For example, a collection or back-up of personal files. Data holdings are generally the storage methods used in the past when data has been lost due to environmental and other historical disasters. [4]
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