Downtown! is a rapidly growing web-based retailer with about 100 management and technical support employees at its headquarters office in florida. mary estrada, the firm's it manager, is planning a new information system that will give users better access to sales and marketing data and trends.

Based on the statement above, what Mary Estrada needs may be a sales and marketing data system within the eye. And also Mary Estrada requires data processing applications to work out sales and marketing trends in order that they will predict the products which will be sold within the future.

Information Systems (SI) are a mixture of knowledge technology and also the activities of individuals who use that technology to support operations and management. in an exceedingly very broad sense, the term data system that's often used refers to interactions between people, algorithmic processes, data, and technology. during this sense, the term is employed to refer not only to the utilization of knowledge and communication technology (ICT) organizations but also to how people interact with this technology in supporting business processes.

Some make a transparent distinction between information systems, and computer ICT systems, and business processes. Information systems that are different from information technology in information systems usually seem like they need ICT components. this is often mainly associated with the aim of utilizing information technology. the data system is additionally different from the business process. the data system helps to manage the performance of the business process.

The Purpose of knowledge Systems

The purpose of knowledge systems is to supply information. the data system is data that's processed into a form that's useful for the wearer. Data that's processed alone isn't enough to be said as information. To be useful, information must be supported by three pillars as follows: the proper to the person or relevant (relevance), timely (timeliness), an appropriate value or accurate (accurate). Outputs that aren't supported by these three pillars can not be said to be useful information, but are garbage.

Data mining is that the extraction of interesting patterns from large amounts of knowledge. A pattern is alleged to be attractive if the pattern isn't trivial, implicit, unknown beforehand, and useful. The pattern presented must be easy to grasp, applicable to data which will be predicted with a particular degree of certainty, useful, and new. data processing has several alternative names, although the precise definition is different, like KDD (knowledge discovery in an exceedingly database), pattern analysis, data archeology, harvesting information, and business intelligence. data processing is required when there's an excessive amount of data available (for example data obtained from company database systems, e-commerce, stock data, census data, and bioinformatics data), but don't know what patterns may be obtained.

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definition of knowledge Systems

definition of knowledge mining

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Grade: College

Subject: Business

keywords: Information Systems, Data mining

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