Components of DSS (Decision Support System) Data Store – The DSS Database Data Extraction and Filtering End-User Query Tool End User Presentation Tools Operational Stored in Normalized Relational Database Support transactions that represent daily operations (Not Query Friendly) Differences with DSS 3 Main Differences Time Span Granularity Dimensionality Operational DSS Time span Real time Historic Current transaction Short time frame Long time frame Specific Data facts Patterns Granularity Specific
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Information‚ in its most restricted technical sense‚ is a sequence of symbols that can be interpreted as a message. Information can be recorded as signs‚ or transmitted as signals. Information is any kind of event that affects the state of a dynamic system. Conceptually‚ information is the message (utterance or expression) being conveyed. The meaning of this concept varies in different contexts.[1] Moreover‚ the concept of information is closely related to notions of constraint‚ communication‚ control
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powerful built. Robust Knowledge is Knowledge that is relevant and accepted by actors in the context of its application. Robust knowledge requires both consensus and disagreement because it is a knowledge that is powerfully built‚ a powerfully built knowledge because consensus refers to collective opinion and disagreement refers to lack of approval. Although it does require consensus and disagreement‚ in some fields it is not necessary. Mathematics could be an area of knowledge that could explain why
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TITLE PAGE Applied HRM Project (HRM-6) A Report On “Knowledge Management” By . ACKNOWLEDGEMENT I would like to express my heartiest gratitude to my supervisor Mr Kakavelakis Konstantinos for his kind guidance‚ feedback and comments throughout the learning process of this project. I would like to thank all my group members who were very supportive throughout this project. I would also like to thank my parents who have been very helping and praying for my success throughout my educational
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attempts to address the problem of the automatic customer segmentation by processing data collected in Social Customer Relationship Management (Social CRM) systems using Kohonen networks. Presented segmentation approach comprises classic loyaltyprofitability link model that is explicit for CRM‚ and new social media components direct to Social CRM. The result of presented approach is an analysis tool with data visualization for managers which significantly improves the process of customer segmentation
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Data mining is a concept that companies use to gain new customers or clients in an effort to make their business and profits grow. The ability to use data mining can result in the accrual of new customers by taking the new information and advertising to customers who are either not currently utilizing the business ’s product or also in winning additional customers that may be purchasing from the competitor. Generally‚ data are any “facts‚ numbers‚ or text that can be processed by a computer.” Today
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an essay with the theme of your first quotation "A man should never be ashamed to own he has been in the wrong‚ which is by saying‚ in other words‚ that he is wiser today than he was yesterday." - Alexander Pope (1688-1744) "Experience is Knowledge" Many regrets may burden ones mind throughout their life. This is a totally normal part of ones life that one may have no control over. "A man should never be ashamed to own he has been in the wrong‚ which is by saying‚ in other words‚
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Knowledge Management Kelly H OMM 625: Learning Organizations & Effectiveness Dr. Kim Gravelle October 15‚ 2012 Managers must be knowledgeable in numerous areas of the organization in which they work for and must be ready to share that information when needed. A manager is the individual that an employee will go to for information and assistance for anything relating to the job or organization. The amount of information that a manager needs to be knowledgeable in can be massive depending
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FACULTATEA DE ADMINISTRAREA AFACERILOR (CU PREDARE IN LIMBI STRĂINE) SESIUNEA DE COMUNICĂRI ȘTIINȚIFICE STUDENȚEȘTI Knowledge Management COORDONATORI‚ Prof. Univ. Dr.‚ Marta-Christina‚ SUCIU Asist. Univ. Dr.‚ Mina‚ FANEA-IVANOVICI AUTORI‚ Mădălina‚ CERCELARU Alexandru‚ CIOACĂ Diana‚ CIORICEANU Antonia‚ CORDOȘ Michael‚ DIACONESCU GRUPA 112 BUCUREȘTI KNOWLEDGE MANAGEMENT Authors: Mădălina Cercelaru‚ Faculty of Business Administration‚ First year of study
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Always make sure that all recording‚ tracking and logging of assessments are accurate and up to date. Communicate decisions with learners as well as the assessment strategies and standardisation. Abide by the health and safety at work act 1974‚ the data protection act 1998 and the equality and diversity act 2010. The regulatory bodies such as Ofyual‚ Sector Skills Council‚ Institute of learning and any awarding body help maintain
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