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Author: Sam Aubrey Fabian February
Publisher:
Published: 2017
Total Pages: 394
ISBN-13:
DOWNLOAD EBOOKAssesses and evaluates the current level of efficiency which business intelligence is able to deliver decision making support to the organisation. It also looks at how to design a business intelligence framework that can be used by local telecommunications industry for the enhancement of decision making.
Author: P. Mary Jeyanthi
Publisher: Springer Nature
Published: 2022-01-01
Total Pages: 236
ISBN-13: 3030827631
DOWNLOAD EBOOKThis book presents a framework for developing an analytics strategy that includes a range of activities, from problem definition and data collection to data warehousing, analysis, and decision making. The authors examine best practices in team analytics strategies such as player evaluation, game strategy, and training and performance. They also explore the way in which organizations can use analytics to drive additional revenue and operate more efficiently. The authors provide keys to building and organizing a decision intelligence analytics that delivers insights into all parts of an organization. The book examines the criteria and tools for evaluating and selecting decision intelligence analytics technologies and the applicability of strategies for fostering a culture that prioritizes data-driven decision making. Each chapter is carefully segmented to enable the reader to gain knowledge in business intelligence, decision making and artificial intelligence in a strategic management context.
Author: Deepak Pareek
Publisher: CRC Press
Published: 2006-11-29
Total Pages: 312
ISBN-13: 0849387914
DOWNLOAD EBOOKBringing together market research reports, business analyst briefings, and technology references into one comprehensive volume, Business Intelligence for Telecommunications identifies those advances in both methods and technology that are being employed to inform decision-making and give companies an edge in the rapidly growing and highly co
Author: Carlo Vercellis
Publisher: John Wiley & Sons
Published: 2011-08-10
Total Pages: 314
ISBN-13: 1119965470
DOWNLOAD EBOOKBusiness intelligence is a broad category of applications and technologies for gathering, providing access to, and analyzing data for the purpose of helping enterprise users make better business decisions. The term implies having a comprehensive knowledge of all factors that affect a business, such as customers, competitors, business partners, economic environment, and internal operations, therefore enabling optimal decisions to be made. Business Intelligence provides readers with an introduction and practical guide to the mathematical models and analysis methodologies vital to business intelligence. This book: Combines detailed coverage with a practical guide to the mathematical models and analysis methodologies of business intelligence. Covers all the hot topics such as data warehousing, data mining and its applications, machine learning, classification, supply optimization models, decision support systems, and analytical methods for performance evaluation. Is made accessible to readers through the careful definition and introduction of each concept, followed by the extensive use of examples and numerous real-life case studies. Explains how to utilise mathematical models and analysis models to make effective and good quality business decisions. This book is aimed at postgraduate students following data analysis and data mining courses. Researchers looking for a systematic and broad coverage of topics in operations research and mathematical models for decision-making will find this an invaluable guide.
Author: Vincent Ribiere
Publisher: Academic Conferences Limited
Published: 2013-07-02
Total Pages: 470
ISBN-13: 1909507008
DOWNLOAD EBOOKAuthor: Dr Paula Peres
Publisher: Academic Conferences Limited
Published: 2015-07-06
Total Pages: 686
ISBN-13: 1910810312
DOWNLOAD EBOOKComplete proceedings of the 2nd European Conference on Social Media Porto Portugal Published by Academic Conferences and Publishing International Limited
Author: Houston H. Carr
Publisher: Irwin/McGraw-Hill
Published: 2003
Total Pages: 0
ISBN-13: 9780072489316
DOWNLOAD EBOOKRather than solely concentrating on the technology of telecommunications, Carr and Snyder's The Management of Telecommunications: Business Solutions to Business Problems 2/e caters more to the needs of today's business students. Management Of Telecommunications is the ideal textbook for exposing students to all facets of being a telecommunications end-user. It stresses the importance of the managerial decision-making side of telecommunications by applying the use of an integrated continuing case to illustrate key concepts and show the decision process. This book will provide business students with the technical vocabulary, technical understanding, and decision-making ability necessary to be an effective business telecommunications manager. Students using Carr and Snyder's book will lead the decision-making process by having an understanding of technology tradeoffs in relation to costs, marketing, customer service, and competition. Students will learn how telecommunications and telecommunications-intensive information systems, in particular, are part of the strategic, tactical, and operational decision processes of an organization.
Author: Anubha
Publisher: IGI Global
Published: 2023-05-08
Total Pages: 354
ISBN-13: 1668475707
DOWNLOAD EBOOKIn todays competitive market, a manager must be able to look at data, understand it, analyze it, and then interpret it to design a smart business strategy. Big data is also a valuable source of information on how customers interact with firms through various mediums such as social media platforms, online reviews, and many more. The applications and uses of business analytics are numerous and must be further studied to ensure they are utilized appropriately. Data-Driven Approaches for Effective Managerial Decision Making investigates management concepts and applications using data analytics and outlines future research directions. The book also addresses contemporary advancements and innovations in the field of management. Covering key topics such as big data, business intelligence, and artificial intelligence, this reference work is ideal for managers, business owners, industry professionals, researchers, scholars, academicians, practitioners, instructors, and students.
Author: Dursun Delen
Publisher: Pearson Education
Published: 2015
Total Pages: 289
ISBN-13: 0133551075
DOWNLOAD EBOOKAs business becomes increasingly complex and global, decision-makers must act more rapidly and accurately, based on the best available evidence. Modern data mining and analytics is indispensable for doing this. Real-World Data Mining demystifies current best practices, showing how to use data mining and analytics to uncover hidden patterns and correlations, and leverage these to improve all business decision-making. Drawing on extensive experience as a researcher, practitioner, and instructor, Dr. Dursun Delen delivers an optimal balance of concepts, techniques and applications. Without compromising either simplicity or clarity, Delen provides enough technical depth to help readers truly understand how data mining technologies work. Coverage includes: data mining processes, methods, and techniques; the role and management of data; tools and metrics; text and web mining; sentiment analysis; and integration with cutting-edge Big Data approaches. Throughout, Delen's conceptual coverage is complemented with application case studies (examples of both successes and failures), as well as simple, hands-on tutorials.
Author: Natarajan, Arul Kumar
Publisher: IGI Global
Published: 2024-08-28
Total Pages: 506
ISBN-13:
DOWNLOAD EBOOKIn today's rapidly evolving business landscape, organizations are inundated with vast amounts of data, making it increasingly challenging to extract meaningful insights and make informed decisions. The traditional business intelligence (BI) approach must often address the complexity and speed required for effective decision-making in this data-rich environment. As a result, many businesses need help to leverage their data to drive sustainable growth and remain competitive. Intersection of AI and Business Intelligence in Data-Driven Decision-Making presents a transformative solution to this pressing challenge. By exploring the convergence of artificial intelligence (AI) and BI, our book provides a comprehensive framework for leveraging AI-powered BI to revolutionize data analysis, predictive modeling, and decision-making processes. Readers will gain valuable insights into practical applications, emerging trends, and ethical considerations, inspiring and exciting them about the potential of AI in driving business success.
