When.com Web Search

Search results

1. Results From The WOW.Com Content Network

2. Data quality - Wikipedia

   en.wikipedia.org/wiki/Data_quality

   People's views on data quality can often be in disagreement, even when discussing the same set of data used for the same purpose. When this is the case, data governance is used to form agreed upon definitions and standards for data quality. In such cases, data cleansing, including standardization, may be required in order to ensure data quality ...

3. Health information management - Wikipedia

   en.wikipedia.org/wiki/Health_information_management

   Healthcare quality and safety require that the right information be available at the right time to support patient care and health system management decisions. Gaining consensus on essential data content and documentation standards is a necessary prerequisite for high-quality data in the interconnected healthcare system of the future.

4. DMAIC - Wikipedia

   en.wikipedia.org/wiki/DMAIC

   DMAIC or define, measure, analyze, improve and control [1] (pronounced də-MAY-ick) refers to a data-driven improvement cycle used for optimizing and stabilizing business processes and designs. The DMAIC improvement cycle is the core tool used to drive Six Sigma projects. However, DMAIC is not exclusive to Six Sigma and can be used as the ...

5. Quality engineering - Wikipedia

   en.wikipedia.org/wiki/Quality_engineering

   The objective of an efficient quality engineering process is the coordination of automated and manual quality assurance tasks. Code review or elicitation of quality objectives are examples of manual tasks, while regression tests and the collection of code metrics are examples for automatically performed tasks.

6. Data governance - Wikipedia

   en.wikipedia.org/wiki/Data_governance

   Here the focus is on an individual company. Here data governance is a data management concept concerning the capability that enables an organization to ensure that high data quality exists throughout the complete lifecycle of the data, and data controls are implemented that support business objectives.

7. Quality management - Wikipedia

   en.wikipedia.org/wiki/Quality_management

   Quality management ensures that an organization, product or service consistently functions as intended. It has four main components: quality planning, quality assurance, quality control, and quality improvement. [1] Customers recognize that quality is an important attribute when choosing and purchasing products and services.

8. Data integrity - Wikipedia

   en.wikipedia.org/wiki/Data_integrity

   An example of a data-integrity mechanism is the parent-and-child relationship of related records. If a parent record owns one or more related child records all of the referential integrity processes are handled by the database itself, which automatically ensures the accuracy and integrity of the data so that no child record can exist without a parent (also called being orphaned) and that no ...

9. Data analysis - Wikipedia

   en.wikipedia.org/wiki/Data_analysis

   Data mining is a particular data analysis technique that focuses on statistical modeling and knowledge discovery for predictive rather than purely descriptive purposes, while business intelligence covers data analysis that relies heavily on aggregation, focusing mainly on business information. [4]