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Some applications are offered on a software as a service (SaaS) basis. For example, in the construction industry, project teams may access a project extranet to share drawings, photographs and documents, and use online applications to mark-up and make comments and to manage and report on project-related communications.
Data as a service (DaaS) is a cloud-based software tool used for working with data, such as managing data in a data warehouse or analyzing data with business intelligence. It is enabled by software as a service (SaaS). [ 1 ]
Failure Reporting (FR). The failures and the faults related to a system, a piece of equipment, a piece of software or a process are formally reported through a standard form (Defect Report, Failure Report). Analysis (A). Perform analysis in order to identify the root cause of failure. Corrective Actions (CA).
Some SaaS providers offer free services to consumers that are funded by means such as advertising, affiliate marketing, or selling consumer data. [20] One of the most popular models for Internet start-ups and mobile apps is freemium, where the company charges for continued use or a higher level of service.
Alfresco, an example of on-premises document management software An Example of on-premises software (MediaWiki). On-premises software (abbreviated to on-prem, and often written as "on-premise") [1] is installed and runs on computers on the premises of the person or organization using the software, rather than at a remote facility such as a server farm or cloud.
In recent times LIMS functionality has spread even further beyond its original purpose of sample management. Assay data management, data mining, data analysis, and electronic laboratory notebook (ELN) integration have been added to many LIMS, enabling the realization of translational medicine completely within a single software solution ...
Microsoft SQL Server Analysis Services (SSAS [1]) is an online analytical processing (OLAP) and data mining tool in Microsoft SQL Server. SSAS is used as a tool by organizations to analyze and make sense of information possibly spread out across multiple databases, or in disparate tables or files.
An example of data mining related to an integrated-circuit (IC) production line is described in the paper "Mining IC Test Data to Optimize VLSI Testing." [12] In this paper, the application of data mining and decision analysis to the problem of die-level functional testing is described. Experiments mentioned demonstrate the ability to apply a ...
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