Data intelligence : A multidisciplinary, structural and mining approach to data

Jackson Luis Schirigatti

ISBN 10: 620271722X / ISBN 13: 9786202717229

Published by Our Knowledge Publishing, 2020

About this Item

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.

Seller Inventory # 9786202717229

Bibliographic Details

• Title: Data intelligence : A multidisciplinary, structural and mining approach to data
• Publisher: Our Knowledge Publishing
• Publication Date: 2020
• Language: English
• ISBN 10: 620271722X
• ISBN 13: 9786202717229
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 8D millimeters 220 millimeters width by 150 millimeters height by 8 millimeters depth
• Weight: 209 grams

About this title

Synopsis

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.