Integration Of Data Mining In Business Intelligence Systems
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Integration Of Data Mining In Business Intelligence Systems
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Author : Azevedo, Ana
language : en
Publisher: IGI Global
Release Date : 2014-09-30
Integration Of Data Mining In Business Intelligence Systems written by Azevedo, Ana and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-09-30 with Computers categories.
Uncovering and analyzing data associated with the current business environment is essential in maintaining a competitive edge. As such, making informed decisions based on this data is crucial to managers across industries. Integration of Data Mining in Business Intelligence Systems investigates the incorporation of data mining into business technologies used in the decision making process. Emphasizing cutting-edge research and relevant concepts in data discovery and analysis, this book is a comprehensive reference source for policymakers, academicians, researchers, students, technology developers, and professionals interested in the application of data mining techniques and practices in business information systems.
Integration Of Data Mining In Business Intelligence Systems
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Author : Ana Azevedo
language : en
Publisher:
Release Date : 2015
Integration Of Data Mining In Business Intelligence Systems written by Ana Azevedo and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with Business intelligence categories.
This book investigates the incorporation of data mining into business technologies used in the decision making process, emphasizing cutting-edge research and relevant concepts in data discovery and analysis
Integration Of Data Mining In Business Intelligence Systems
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Author : Ana Azavedo
language : en
Publisher:
Release Date : 2014-09-30
Integration Of Data Mining In Business Intelligence Systems written by Ana Azavedo and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-09-30 with Business intelligence categories.
"This book investigates the incorporation of data mining into business technologies used in the decision making process, emphasizing cutting-edge research and relevant concepts in data discovery and analysis"--
Integration Challenges For Analytics Business Intelligence And Data Mining
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Author : Azevedo, Ana
language : en
Publisher: IGI Global
Release Date : 2020-12-11
Integration Challenges For Analytics Business Intelligence And Data Mining written by Azevedo, Ana and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-11 with Computers categories.
As technology continues to advance, it is critical for businesses to implement systems that can support the transformation of data into information that is crucial for the success of the company. Without the integration of data (both structured and unstructured) mining in business intelligence systems, invaluable knowledge is lost. However, there are currently many different models and approaches that must be explored to determine the best method of integration. Integration Challenges for Analytics, Business Intelligence, and Data Mining is a relevant academic book that provides empirical research findings on increasing the understanding of using data mining in the context of business intelligence and analytics systems. Covering topics that include big data, artificial intelligence, and decision making, this book is an ideal reference source for professionals working in the areas of data mining, business intelligence, and analytics; data scientists; IT specialists; managers; researchers; academicians; practitioners; and graduate students.
Business Intelligence Concepts Methodologies Tools And Applications
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Author : Management Association, Information Resources
language : en
Publisher: IGI Global
Release Date : 2015-12-29
Business Intelligence Concepts Methodologies Tools And Applications written by Management Association, Information Resources and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-12-29 with Computers categories.
Data analysis is an important part of modern business administration, as efficient compilation of information allows managers and business leaders to make the best decisions for the financial solvency of their organizations. Understanding the use of analytics, reporting, and data mining in everyday business environments is imperative to the success of modern businesses. Business Intelligence: Concepts, Methodologies, Tools, and Applications presents a comprehensive examination of business data analytics along with case studies and practical applications for businesses in a variety of fields and corporate arenas. Focusing on topics and issues such as critical success factors, technology adaptation, agile development approaches, fuzzy logic tools, and best practices in business process management, this multivolume reference is of particular use to business analysts, investors, corporate managers, and entrepreneurs in a variety of prominent industries.
Business Intelligence And Big Data
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Author : Celina Olszak
language : en
Publisher: CRC Press
Release Date : 2020-11-17
Business Intelligence And Big Data written by Celina Olszak and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-17 with Business & Economics categories.
The twenty-first century is a time of intensifying competition and progressive digitization. Individual employees, managers, and entire organizations are under increasing pressure to succeed. The questions facing us today are: What does success mean? Is success a matter of chance and luck or perhaps is success a category that can be planned and properly supported? Business Intelligence and Big Data: Drivers of Organizational Success examines how the success of an organization largely depends on the ability to anticipate and quickly respond to challenges from the market, customers, and other stakeholders. Success is also associated with the potential to process and analyze a variety of information and the means to use modern information and communication technologies (ICTs). Success also requires creative behaviors and organizational cleverness from an organization. The book discusses business intelligence (BI) and Big Data (BD) issues in the context of modern management paradigms and organizational success. It presents a theoretically and empirically grounded investigation into BI and BD application in organizations and examines such issues as: Analysis and interpretation of the essence of BI and BD Decision support Potential areas of BI and BD utilization in organizations Factors determining success with using BI and BD The role of BI and BD in value creation for organizations Identifying barriers and constraints related to BI and BD design and implementation The book presents arguments and evidence confirming that BI and BD may be a trigger for making more effective decisions, improving business processes and business performance, and creating new business. The book proposes a comprehensive framework on how to design and use BI and BD to provide organizational success.
Research Anthology On Big Data Analytics Architectures And Applications
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Author : Management Association, Information Resources
language : en
Publisher: IGI Global
Release Date : 2021-09-24
Research Anthology On Big Data Analytics Architectures And Applications written by Management Association, Information Resources and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-24 with Computers categories.
Society is now completely driven by data with many industries relying on data to conduct business or basic functions within the organization. With the efficiencies that big data bring to all institutions, data is continuously being collected and analyzed. However, data sets may be too complex for traditional data-processing, and therefore, different strategies must evolve to solve the issue. The field of big data works as a valuable tool for many different industries. The Research Anthology on Big Data Analytics, Architectures, and Applications is a complete reference source on big data analytics that offers the latest, innovative architectures and frameworks and explores a variety of applications within various industries. Offering an international perspective, the applications discussed within this anthology feature global representation. Covering topics such as advertising curricula, driven supply chain, and smart cities, this research anthology is ideal for data scientists, data analysts, computer engineers, software engineers, technologists, government officials, managers, CEOs, professors, graduate students, researchers, and academicians.
Role Of Internet Of Everything Ioe Vlsi Architecture And Ai In Real Time Systems
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Author : Pandey, Digvijay
language : en
Publisher: IGI Global
Release Date : 2024-12-13
Role Of Internet Of Everything Ioe Vlsi Architecture And Ai In Real Time Systems written by Pandey, Digvijay and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-13 with Computers categories.
The Internet of Things (IoT) is revolutionizing manufacturing by enabling interconnected systems that enhance data collection, human-machine interaction, and intelligent control processes. However, the complexity of modern industrial environments presents challenges for signal processing, a critical component of IoT efficiency. Advances in intelligent, cost-effective, and energy-efficient signal processing algorithms are essential for overcoming these limitations and driving IoT innovation. Moreover, integrating IoT with technologies like artificial intelligence (AI), deep learning, and VLSI has expanded its applications, enabling more reliable, scalable, and compact solutions. These developments not only optimize industrial processes but also open new economic opportunities, reinforcing the importance of IoT in shaping the future of business and technology. Role of Internet of Everything (IOE), VLSI Architecture, and AI in Real-Time Systems explores the role of intelligent signal processing (ISP) and cutting-edge technologies like AI, deep learning, and VLSI in advancing IoT applications within manufacturing and business systems. It emphasizes innovative approaches to overcoming IoT challenges, focusing on cost-effective, energy-efficient solutions that drive reliability, scalability, and economic growth. Covering topics such as security systems, financial risk management, and workforce management, this book is an excellent resource for academicians, researchers, graduate students, practitioners, professionals, and more.
Advances In Information Systems Development
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Author : Anders G. Nilsson
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-07-15
Advances In Information Systems Development written by Anders G. Nilsson and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-07-15 with Computers categories.
Advances in Information Systems Development: Bridging the Gap between Academia and Industry, Volumes 1 and 2, are the collected proceedings of the Fourteenth International Conference on Information Systems Development: Methods and Tools, Theory and Practice – ISD’2005 Conference. These latest volumes on Information Systems Development examine the exchange of ideas between academia and industry and aims to explore new solutions. The field of Information Systems Development (ISD) progresses rapidly, continually creating new challenges for the professionals involved. New concepts, approaches and techniques of systems development emerge constantly in this field. The seven conference tracks highlighted at the Fourteenth International Conference on Information Systems Development – ISD’2005 Conference: - Co-design of Business and IT - Communication and Methods - Human Values of Information Technology - Service Development and IT - Requirements Engineering in the IS Life-Cycle - Semantic Web Approaches and Applications - Management and IT
Building A Data Warehouse
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Author : Vincent Rainardi
language : en
Publisher: Apress
Release Date : 2008-03-11
Building A Data Warehouse written by Vincent Rainardi and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-03-11 with Computers categories.
Building a Data Warehouse: With Examples in SQL Server describes how to build a data warehouse completely from scratch and shows practical examples on how to do it. Author Vincent Rainardi also describes some practical issues he has experienced that developers are likely to encounter in their first data warehousing project, along with solutions and advice. The relational database management system (RDBMS) used in the examples is SQL Server; the version will not be an issue as long as the user has SQL Server 2005 or later. The book is organized as follows. In the beginning of this book (chapters 1 through 6), you learn how to build a data warehouse, for example, defining the architecture, understanding the methodology, gathering the requirements, designing the data models, and creating the databases. Then in chapters 7 through 10, you learn how to populate the data warehouse, for example, extracting from source systems, loading the data stores, maintaining data quality, and utilizing the metadata. After you populate the data warehouse, in chapters 11 through 15, you explore how to present data to users using reports and multidimensional databases and how to use the data in the data warehouse for business intelligence, customer relationship management, and other purposes. Chapters 16 and 17 wrap up the book: After you have built your data warehouse, before it can be released to production, you need to test it thoroughly. After your application is in production, you need to understand how to administer data warehouse operation.