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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.
Zenprise MobileManager: An on-premises Mobile Device Management solution [buzzword] focused on providing mobile device lifecycle management and mobile security across devices, applications, the network, and data. Zencloud: Cloud version of Zenprise's mobile device management software.
The scope of the data lineage determines the volume of metadata required to represent its data lineage. Usually, data governance and data management of an organization determine the scope of the data lineage based on their regulations, enterprise data management strategy, data impact, reporting attributes and critical data elements of the ...
It integrates data from various internal and external sources to give a comprehensive understanding of an organization's performance and market trends [2] It can give a business competitive advantage by offering insightful data, also helps in identifying opportunities and risks giving business advantage over its competitors [ 3 ]
However, data has staged a comeback with the popularisation of the term big data, which refers to the collection and analyses of massive sets of data. While big data is a recent phenomenon, the requirement for data to aid decision-making traces back to the early 1970s with the emergence of decision support systems (DSS).
Some of the data contained passport numbers, visa details, addresses and place of birth of staff on its cruises, while another spreadsheet had names, addresses and phone numbers of some Disney ...
Data thinking is a product design framework that combines data science with the design process. It draws on computational thinking, statistical thinking, and domain-specific knowledge to steer the creation of data-driven solutions. Data thinking guides the exploration, design, development, and validation of data-driven solutions in product ...
A training data set is a data set of examples used during the learning process and is used to fit the parameters (e.g., weights) of, for example, a classifier. [9] [10]For classification tasks, a supervised learning algorithm looks at the training data set to determine, or learn, the optimal combinations of variables that will generate a good predictive model. [11]