data mining business intelligence von matthew ugochukwu (12 Ergebnisse)

Taschenbuch. Zustand: Neu. Anwendungen für Business Intelligence und Künstliche Neuronale Netze | Data Mining Business Intelligence Anwendungen im Einzelhandel unter Verwendung eines Künstlichen Neuronalen Netzes (KNN) Algorithmus | Ugochukwu O. Matthew (u. a.) | Taschenbuch | 80 S. | Deutsch | 2023 | Verlag Unser Wissen | EAN 9786205649381 | Verantwortliche Person für die EU: Verlag Unser Wissen, Brivibas Gatve 197, 1039 RIGA, LITAUEN, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.

Taschenbuch. Zustand: Neu. Neuware -Data mining is an emerging technology that envisages pattern, process and various methods of accessing information in large databases, telecoms inclusive. Telecommunication companies are operating today in an extremely challenging business environment,(Joseph, 2013). This industry is in possession of large quantities of data, generated from numerous operational systems, and is confronted with many business problems that need urgent handling. Large Volume of knowledge is generated from various operational systems and these are used for determination of several business issues that needed imperative handling. This knowledge represents purposeful areas of maintenance, safety and quality processes, inventory, purchase, document management, transactions and security issues. Data processing strategies and business intelligence technology are widely used for handling the business issues in today trade and investment climate. Telecommunication has been among the first to adopt Business Intelligence (BI) and Data Mining technologies, a fundamental step to service invention and globalization.Books on Demand GmbH, Überseering 33, 22297 Hamburg 100 pp. Englisch.

Zustand: New.

Paperback. Zustand: Brand New. 100 pages. 8.66x5.91x0.23 inches. In Stock.

Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In molti ambienti aziendali orientati al cliente, come le banche e le attività di vendita al dettaglio, il data mining di business intelligence (BI) svolge funzioni chiave che consentono alle organizzazioni aziendali di determinare i rischi di investimento e stimare i ritorni sugli investimenti. Aiuta a valutare le informazioni raccolte e a presentarle in un design comprensibile e pratico che promuove l'analisi del data mining. Nello studio attuale, i servizi bancari e di vendita al dettaglio sono stati considerati tra i settori tecnologici in rapido sviluppo che conservano quantità significative di dati elettronici. La gestione di enormi quantità di dati transazionali e le scelte relative al rischio, alla fidelizzazione dei clienti, al rilevamento e alla prevenzione delle frodi e alla gestione del marketing sono compiti importanti nel settore bancario e della vendita al dettaglio. Poiché i truffatori escogitano continuamente nuovi schemi e perfezionano quelli esistenti per evitare di essere facilmente identificati, è difficile identificare le frodi e prevenirle. Per monitorare le attività relative alla prevenzione delle frodi, all'individuazione delle frodi, alla fidelizzazione dei clienti, al marketing e alla gestione dei rischi, alle performance aziendali, alla classificazione dei prestiti e al miglioramento della soddisfazione dei clienti.

Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In vielen kundenorientierten Unternehmensumgebungen wie Banken und Einzelhandelsgeschäften erfüllt Data Mining Business Intelligence (BI) Schlüsselfunktionen, die es Unternehmen ermöglichen, Investitionsrisiken zu bestimmen und Investitionserträge abzuschätzen. Es hilft bei der Auswertung der gesammelten Informationen und stellt sie in einem verständlichen und praktischen Design dar, das Data-Mining-Analysen fördert. In der vorliegenden Studie wurden Bank- und Einzelhandelsdienstleistungen als eine sich schnell entwickelnde technologische Branche betrachtet, in der große Mengen an elektronischen Daten anfallen. Der Umgang mit enormen Mengen an Transaktionsdaten und Entscheidungen über Risiken, Kundenbindung, Betrugserkennung und -prävention sowie Marketingmanagement sind wichtige Aufgaben im Banken- und Einzelhandelssektor. Da Betrüger ständig neue Betrugsmethoden entwickeln und ihre bestehenden Methoden verfeinern, damit sie nicht so leicht identifiziert werden können, ist es eine Herausforderung, Betrug zu erkennen und zu verhindern. Zur Überwachung von Aktivitäten in den Bereichen Betrugsprävention, Betrugserkennung, Kundenbindung, Marketing und Risikomanagement, Geschäftsentwicklung, Kreditklassifizierung und Verbesserung der Kundenzufriedenheit.

Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In many customer oriented enterprise environment like banks and retail businesses, data mining business intelligence (BI) performs key functions that enable business organizations determine investment risks and estimate returns on investment. It aids in evaluating the gathered information and presenting them in an understandable and practical design that promote data mining analytics. In the current study, banking and retail services were viewed among the rapidly developing technological industry that maintains significant amounts of electronic data. Handling enormous amounts of transactional data and making choices about risk, client retention, fraud detection and prevention, and marketing management are significant tasks in the banking and retail industries. On the account that fraudsters constantly come up with new schemes and refine their existing schemes so they may avoid being easily identified, it is challenging to identify fraud and prevent it from happening. In order to monitor activities relating to fraud prevention, fraud detection, customer retention, marketing and risk management, business performance, loan classification, and improving customer satisfaction.

Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Data mining is an emerging technology that envisages pattern, process and various methods of accessing information in large databases, telecoms inclusive. Telecommunication companies are operating today in an extremely challenging business environment,(Jose.

Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Data mining is an emerging technology that envisages pattern, process and various methods of accessing information in large databases, telecoms inclusive. Telecommunication companies are operating today in an extremely challenging business environment,(Joseph, 2013). This industry is in possession of large quantities of data, generated from numerous operational systems, and is confronted with many business problems that need urgent handling. Large Volume of knowledge is generated from various operational systems and these are used for determination of several business issues that needed imperative handling. This knowledge represents purposeful areas of maintenance, safety and quality processes, inventory, purchase, document management, transactions and security issues. Data processing strategies and business intelligence technology are widely used for handling the business issues in today trade and investment climate. Telecommunication has been among the first to adopt Business Intelligence (BI) and Data Mining technologies, a fundamental step to service invention and globalization. 100 pp. Englisch.

Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Data mining is an emerging technology that envisages pattern, process and various methods of accessing information in large databases, telecoms inclusive. Telecommunication companies are operating today in an extremely challenging business environment,(Joseph, 2013). This industry is in possession of large quantities of data, generated from numerous operational systems, and is confronted with many business problems that need urgent handling. Large Volume of knowledge is generated from various operational systems and these are used for determination of several business issues that needed imperative handling. This knowledge represents purposeful areas of maintenance, safety and quality processes, inventory, purchase, document management, transactions and security issues. Data processing strategies and business intelligence technology are widely used for handling the business issues in today trade and investment climate. Telecommunication has been among the first to adopt Business Intelligence (BI) and Data Mining technologies, a fundamental step to service invention and globalization.

Zustand: New. PRINT ON DEMAND.

Zustand: New. Print on Demand.