In a hypercompetitive scenario, managers need to be assertive in their choices and decision-making. Competitive intelligence aims to understand the internal and external forces that influence and affect the organization's business. In this context, contributions are significant to the acquisition of data intelligence through data mining techniques and machine learning. From a multidisciplinary and structural perspective of the data, applied in transactional and multidimensional databases, through binary trees, vectors, matrices and lists, we will see that it is possible to make data and information analysts manipulate and capture intelligence in the data, thus supporting the construction of competitive intelligence. A complete reading about the acquisition of intelligence in the data and how it can influence organizational decision making.
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In a hypercompetitive scenario, managers need to be assertive in their choices and decision-making. Competitive intelligence aims to understand the internal and external forces that influence and affect the organization's business. In this context, contributions are significant to the acquisition of data intelligence through data mining techniques and machine learning. From a multidisciplinary and structural perspective of the data, applied in transactional and multidimensional databases, through binary trees, vectors, matrices and lists, we will see that it is possible to make data and information analysts manipulate and capture intelligence in the data, thus supporting the construction of competitive intelligence. A complete reading about the acquisition of intelligence in the data and how it can influence organizational decision making. 128 pp. Englisch. N° de réf. du vendeur 9786202717229
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -In a hypercompetitive scenario, managers need to be assertive in their choices and decision-making. Competitive intelligence aims to understand the internal and external forces that influence and affect the organization's business. In this context, contributions are significant to the acquisition of data intelligence through data mining techniques and machine learning. From a multidisciplinary and structural perspective of the data, applied in transactional and multidimensional databases, through binary trees, vectors, matrices and lists, we will see that it is possible to make data and information analysts manipulate and capture intelligence in the data, thus supporting the construction of competitive intelligence. A complete reading about the acquisition of intelligence in the data and how it can influence organizational decision making.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 128 pp. Englisch. N° de réf. du vendeur 9786202717229
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In a hypercompetitive scenario, managers need to be assertive in their choices and decision-making. Competitive intelligence aims to understand the internal and external forces that influence and affect the organization's business. In this context, contributions are significant to the acquisition of data intelligence through data mining techniques and machine learning. From a multidisciplinary and structural perspective of the data, applied in transactional and multidimensional databases, through binary trees, vectors, matrices and lists, we will see that it is possible to make data and information analysts manipulate and capture intelligence in the data, thus supporting the construction of competitive intelligence. A complete reading about the acquisition of intelligence in the data and how it can influence organizational decision making. N° de réf. du vendeur 9786202717229
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Taschenbuch. Etat : Neu. Data intelligence | A multidisciplinary, structural and mining approach to data | Jackson Luis Schirigatti | Taschenbuch | Englisch | 2020 | Our Knowledge Publishing | EAN 9786202717229 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 120444457
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