Search for "Data management" in article titles:

1. Data management: Data management comprises all disciplines related to handling data as a valuable resource. The concept of data management arose in the 1980s as technology moved from sequential processing (first punched cards, then magnetic tape) to random access storage. (Disciplines related to managing data as a resource) [100%] 2023-12-01 [Data management]
2. Data management: Data management comprises all disciplines related to handling data as a valuable resource, it is the practice of managing an organization's data so it can be analyzed for decision making. The concept of data management arose in the 1980s ... (Disciplines related to managing data as a resource) [100%] 2024-06-21 [Data management]
3. Data management platform: A data management platform (DMP) is a software platform used for collecting and managing data. They allow businesses to identify audience segments, which can be used to target specific users and contexts in online advertising campaigns. (Software platform used for collecting and managing data, mainly for digital marketing purposes) [81%] 2023-09-11 [Digital marketing] [Big data]...
4. Data management platform: A data management platform (DMP) is a software platform used for collecting and managing data. They allow businesses to identify audience segments, which can be used to target specific users and contexts in online advertising campaigns. (Software platform used for collecting and managing data, mainly for digital marketing purposes) [81%] 2024-01-26 [Digital marketing] [Big data]...
5. Data management plan: A data management plan or DMP is a formal document that outlines how data are to be handled both during a research project, and after the project is completed. The goal of a data management plan is to consider the ... [81%] 2023-12-30 [Data management]
6. Data management platform: A data management platform (DMP) is a software platform used for collecting and managing data. They allow businesses to identify audience segments, which can be used to target specific users and contexts in online advertising campaigns. (Software platform used for collecting and managing data, mainly for digital marketing purposes) [81%] 2023-12-30 [Digital marketing] [Big data]...
7. Data management plan: A data management plan or DMP is a formal document that outlines how data are to be handled both during a research project, and after the project is completed. The goal of a data management plan is to consider the ... [81%] 2024-08-20 [Data management]
8. Data sovereignty (data management): Data sovereignty is the ability of a legal person or an organisation to control the conditions that data is shared under, and how that shared data is used, as if it were an economic asset. It can apply to both ... (Data management) [85%] 2024-08-29 [Digital rights] [Economics of intellectual property]...
9. Data classification (data management): Data classification is the process of organizing data into categories based on attributes like file type, content, or metadata. The data is then assigned class labels that describe a set of attributes for the corresponding data sets. (Data management) [85%] 2024-09-21 [Data management]
10. Customer data management: Customer data management (CDM) is the ways in which businesses keep track of their customer information and survey their customer base in order to obtain feedback. CDM includes a range of software or cloud computing applications designed to give large ... [81%] 2023-12-29 [Data management]
11. Product data management: Product data management (PDM) is the name of a business function within product lifecycle management (PLM) that denotes the management and publication of product data. In software engineering, this is known as version control. (Use of tools to track data related to a product) [81%] 2024-01-26 [Business software] [Product lifecycle management]...
12. Data Management Association: The Data Management Association (DAMA), formerly known as the Data Administration Management Association, is a global not-for-profit organization which aims to advance concepts and practices about information management and data management. It describes itself as vendor-independent, all ... (Organization) [81%] 2023-12-21 [Data management] [Standards organizations]...
13. Product data management: Product data management (PDM) should not be confused with product information management (PIM). PDM is the name of a business function within product lifecycle management (PLM) that denotes the management and publication of product data. (Software) [81%] 2023-11-19 [Business software]
14. Enterprise data management: Enterprise data management (EDM) is the ability of an organization to precisely define, easily integrate and effectively retrieve data for both internal applications and external communication. EDM focuses on the creation of accurate, consistent, and transparent content. [81%] 2023-12-01 [Data management]
15. Data format management: Data format management (DFM) is the application of a systematic approach to the selection and use of the data formats used to encode information for storage on a computer. In practical terms, data format management is the analysis of data ... [81%] 2023-09-11 [Computer data]
16. Product data management: Product data management (PDM) should not be confused with product information management (PIM). PDM is the name of a business function within product lifecycle management (PLM) that denotes the management and publication of product data. (Use of tools to track data related to a product) [81%] 2023-09-25 [Business software] [Product lifecycle management]...
17. Enterprise data management: Enterprise data management (EDM) is the ability of an organization to precisely define, easily integrate and effectively retrieve data for both internal applications and external communication. EDM focuses on the creation of accurate, consistent, and transparent content. [81%] 2023-12-30 [Data management] [Product lifecycle management]...
18. Meter data management: Meter data management (MDM) refers to software that performs long-term data storage and management for the vast quantities of data delivered by smart metering systems. This data consists primarily of usage data and events that are imported from the ... (Engineering) [81%] 2023-12-01 [Emerging technologies] [Data analysis]...
19. Clinical data management: Clinical data management (CDM) is a critical process in clinical research, which leads to generation of high-quality, reliable, and statistically sound data from clinical trials. Clinical data management ensures collection, integration and availability of data at appropriate quality and ... (Medicine) [81%] 2023-12-01 [Clinical data management]
20. Master data management: Master data management (MDM) is a technology-enabled discipline in which business and information technology work together to ensure the uniformity, accuracy, stewardship, semantic consistency and accountability of the enterprise's official shared master data assets. Organisations, or groups of ... (Practice for controlling corporate data) [81%] 2023-12-01 [Business intelligence] [Data management]...
21. Data Management Inc.: TimeClock Plus LLC. (TCP), formally Data Management Inc. (Company) [81%] 2023-12-31 [Business software companies]
22. RAID (data management): RAID (Redundant Array of Inexpensive Disks or Drives, or Redundant Array of Independent Disks) is a class of data storage architecture intended to reduce the risk of data loss. Since storage media will inevitably fail eventually for one reason or ... (Data management) [81%] 2023-03-11 [Data Management]
23. Data center management: Data center management is the collection of tasks performed by those responsible for managing ongoing operation of a data center. This includes Business service management and planning for the future. [81%] 2023-11-30 [Asset management] [Cloud storage]...
24. Commit (data management): In computer science and data management, a commit is the making of a set of tentative changes permanent, marking the end of a transaction and providing Durability to ACID transactions. A commit is an act of committing. (Data management) [81%] 2024-02-28 [Data management] [SQL]...
25. Engineering Data Management: L'Engineering Data Management (EDM) è un sistema di archiviazione digitale dei dati tecnici su un computer od un server. All'interno dell'ufficio tecnico di un'azienda i documenti tecnici possono venire gestiti tramite un database con un'interfaccia grafica ... [81%] 2024-08-21
26. Master Data Management: Na computação, Master Data Management (MDM) compreende um conjunto de processos e ferramentas que definem consistentemente e gerenciam os dados mestres (i.e. não transacionais) de uma organização (que pode conter dados referenciais). [81%] 2024-08-21
27. Data format management: Data format management (DFM) is the application of a systematic approach to the selection and use of the data formats used to encode information for storage on a computer. In practical terms, data format management is the analysis of data ... [81%] 2024-08-20 [Computer data]
28. Data center management: Data center management is the collection of tasks performed by those responsible for managing ongoing operation of a data center. This includes Business service management and planning for the future. (Planning and operation of data centers) [81%] 2024-08-21 [Asset management] [Cloud storage]...
29. Data quality management: Cet article est une ébauche concernant l’informatique. Vous pouvez partager vos connaissances en l’améliorant (comment ?) selon les recommandations des projets correspondants. [81%] 2024-08-21
30. Data Management Association: The Data Management Association (DAMA), formerly known as the Data Administration Management Association, is a global not-for-profit organization which aims to advance concepts and practices about information management and data management. It describes itself as vendor-independent, all ... (Organization of data management professionals) [81%] 2024-08-20 [Data management] [Bodies of knowledge]...
31. Reverse data management: Reverse data management describes a branch and set of research questions in relational database theory that aim to reverse the common focus of standard data management. Instead of focusing on the "forward" transformation of an input databases (a set of ... [81%] 2024-08-20 [Data management]