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World Databases In Company Information
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Book Synopsis World Databases in Company Information by : C. J. Armstrong
Download or read book World Databases in Company Information written by C. J. Armstrong and published by Saur K G Publisher Incorporated. This book was released on 1996 with total page 1190 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the 11th in the series of directories whose overall aim is to make sense of the myriad files in the marketplace by listing databases completely, and grouping them logically. The title, Company Information, implies a somewhat narrower focus than the directory offers, as the five sections ac
Book Synopsis Business Data Communications and Networking by : Jerry FitzGerald
Download or read book Business Data Communications and Networking written by Jerry FitzGerald and published by John Wiley & Sons. This book was released on 2009-01-09 with total page 609 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over the past few years, many fundamental changes have occurred in data communications and networking that will shape the future for decades to come. Updated with the latest advances in the field, Jerry FitzGerald and Alan Dennis' 10th Edition of Business Data Communications and Networking continues to provide the fundamental concepts and cutting-edge coverage applications that students need to succeed in this fast-moving field. Authors FitzGerald and Dennis have developed a foundation and balanced presentation from which new technologies and applications can be easily understood, evaluated, and compared.
Book Synopsis Handbook of Business Data Communications by : Hossein Bidgoli
Download or read book Handbook of Business Data Communications written by Hossein Bidgoli and published by Academic Press. This book was released on 2000-08-08 with total page 576 pages. Available in PDF, EPUB and Kindle. Book excerpt: Do you need a one-volume lesson about business applications of the Internet and other computer-based hardware and software? This book provides comprehensive coverage of four major areas: The Internet and Data Communications Basics, Popular Types of Networks, Design, Implementation, and Management Issues in a Network Environment, and Data Communication and Internet Applications. The Handbook of Business Data Communications looks briefly at the major corporations working in each category. In addition to practical examples, short case studies, and summaries of emerging issues in data communications, Professor Bidgoli discusses personal, social, organizational, and legal issues surrounding the use of networks and business software. Easy to use, balanced, and up-to-date, the Handbook has both answers and insights into future trends in business data communications. Key Features * An industry profile begins each chapter, providing readers with ways to learn more about the products they use * Numerous case studies of businesses throughout the book highlight applications topics * Includes balanced presentations of current and emerging technologies as well as useful discussions of security issues and measures * Presents thorough examinations of the Internet and intranets/extranets * Social, organizational, and legal materials provide context for data communications information * Summaries and review questions reinforce the aims of each chapter
Book Synopsis Unifying Business, Data, and Code by : Ron Itelman
Download or read book Unifying Business, Data, and Code written by Ron Itelman and published by "O'Reilly Media, Inc.". This book was released on 2023-05-31 with total page 357 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the modern symphony of business, each section-from the technical to the managerial-must play in harmony. Authors Ron Itelman and Juan Cruz Viotti introduce a bold methodology to synchronize your business and technical teams, transforming them into a single, high-performing unit. Misalignment between business and technical teams halts innovation. You'll learn how to transcend the root causes of project failure-the ambiguity, knowledge gaps, and blind spots that lead to wasted efforts. The unifying methodology in this book will teach you these alignment tools and more: The four facets of data products: A simple blueprint that encapsulates data and business logic helps eliminate the most common causes of wasted time and misunderstanding The concept compass: An easy way to identify the biggest sources of misalignment Success spectrums: Define the required knowledge and road map your team needs to achieve success JSON Schema: Leverage JSON and JSON Schema to technically implement the strategy at scale, including extending JSON Schema with custom keywords, understanding JSON Schema annotations, and hosting your own schema registry Data hygiene: Learn how to design high-quality datasets aligned with creating real business value, and protect your organization from the most common sources of pain
Book Synopsis Data Science and Business Intelligence by : Heverton Anunciação
Download or read book Data Science and Business Intelligence written by Heverton Anunciação and published by Heverton Anunciação. This book was released on 2023-12-04 with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt: A professional, no matter what area he belongs to, I believe, should never think that his truth is definitive or that his way of doing or solving something is the best. And, logically, I had to get it right and wrong to reach this simple conclusion. Now, what does that have to do with the purpose of this book? This book that I have gathered important tips and advice from an elite of data science professionals from various sectors and reputable experience? After I've worked on hundreds of consulting projects and implementation of best practices in Relationship Marketing (CRM), Business Intelligence (BI) and Customer Experience (CX), as well as countless Information Technology projects, one truth is absolute: We need data! Most companies say they do everything perfect, but it is not shown in the media or the press the headache that the areas of Information Technology suffer to join the right data. And when they do manage to unite and make it available, the time to market has already been lost and possible opportunities. Therefore, if a company wants to be considered excellence in corporate governance and satisfy the legal, marketing, sales, customer service, technology, logistics, products, among other areas, this company must start as soon as possible to become a data driven and real-time company. For this, I recommend companies to look for their digital intuitions, and digital inspirations. So, with this book, I am proposing that all the employees and companies will arrive one day that they will know how to use, from their data, their sixth sense. The sixth sense is an extrasensory perception, which goes beyond our five basic senses, vision, hearing, taste, smell, touch. It is a sensation of intuition, which in a certain way allows us to have sensations of "clairvoyance" and even visions of future events. A company will only achieve this ability if it immediately begins to apply true data governance. And the illustrious data scientists who are part of this book will show you the way to take the first step: - Eric Siegel, Predictive Analytics World, USA - Bill Inmon, The Father of Datawarehouse, Forest Rim Technology, USA - Bram Nauts, ABN AMRO Bank, Netherlands - Jim Sterne, Digital Analytics Association, USA - Terry Miller, Siemens, USA - Shivanku Misra, Hilton Hotels, USA - Caner Canak, Turkcell, Turkey - Dr. Kirk Borne, Booz Allen Hamilton, USA - Dr. Bülent Kızıltan, Harvard University, USA - Kate Strachnyi, Story by Data, USA - Kristen Kehrer, Data Moves Me, USA - Marie Wallace, IBM Watson Health, Ireland - Timothy Kooi, DHL, Singapore - Jesse Anderson, Big Data Institute, USA - Charles Givre, JPMorgan Chase & Co, USA - Anne Buff, Centene Corporation, USA - Bala Venkatesh, AIBOTS, Malaysia - Mauro Damo, Hitachi Vantara, USA - Dr. Rajkumar Bondugula, Equifax, USA - Waldinei Guimaraes, Experian, Brazil - Michael Ferrari, Atlas Research Innovations, USA - Dr. Aviv Gruber, Tel-Aviv University, Israel - Amit Agarwal, NVIDIA, India This book is part of the CRM and Customer Experience Trilogy called CX Trilogy which aims to unite the worldwide community of CX, Customer Service, Data Science and CRM professionals. I believe that this union would facilitate the contracting of our sector and profession, as well as identifying the best professionals in the market. The CX Trilogy consists of 3 books and a dictionary: 1st) 30 Advice from 30 greatest professionals in CRM and customer service in the world; 2nd) The Book of all Methodologies and Tools to Improve and Profit from Customer Experience and Service; 3rd) Data Science and Business Intelligence - Advice from reputable Data Scientists around the world; and plus, the book: The Official Dictionary for Internet, Computer, ERP, CRM, UX, Analytics, Big Data, Customer Experience, Call Center, Digital Marketing and Telecommunication: The Vocabulary of One New Digital World
Book Synopsis Mining New Gold—Managing Your Business Data by : Penny
Download or read book Mining New Gold—Managing Your Business Data written by Penny and published by AuthorHouse. This book was released on 2017-09-01 with total page 125 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data 1. What is the data? 2. Can data be validated? Is it accurate? 3. How do we store the data? 4. Is there a way to make money on the data? 5. How does changing expectations of data change your companys future? In this book, we will be reviewing these issues to help business leaders create a path to protecting, using, and storing data that makes sense and to save money, time, and effort.
Book Synopsis Data Science for Business by : Foster Provost
Download or read book Data Science for Business written by Foster Provost and published by "O'Reilly Media, Inc.". This book was released on 2013-07-27 with total page 414 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written by renowned data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data science, and walks you through the "data-analytic thinking" necessary for extracting useful knowledge and business value from the data you collect. This guide also helps you understand the many data-mining techniques in use today. Based on an MBA course Provost has taught at New York University over the past ten years, Data Science for Business provides examples of real-world business problems to illustrate these principles. You’ll not only learn how to improve communication between business stakeholders and data scientists, but also how participate intelligently in your company’s data science projects. You’ll also discover how to think data-analytically, and fully appreciate how data science methods can support business decision-making. Understand how data science fits in your organization—and how you can use it for competitive advantage Treat data as a business asset that requires careful investment if you’re to gain real value Approach business problems data-analytically, using the data-mining process to gather good data in the most appropriate way Learn general concepts for actually extracting knowledge from data Apply data science principles when interviewing data science job candidates
Book Synopsis World Databases in Industry by : C. J. Armstrong
Download or read book World Databases in Industry written by C. J. Armstrong and published by Bowker-Saur. This book was released on 1995 with total page 872 pages. Available in PDF, EPUB and Kindle. Book excerpt: Subject coverage: general business information--trade newsletters, state news services, & newspapers devoted solely to business & industry.
Book Synopsis Data Mining For Business Intelligence by : Monelli Ayyavaraiah
Download or read book Data Mining For Business Intelligence written by Monelli Ayyavaraiah and published by Academic Guru Publishing House. This book was released on 2023-11-25 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book offers data mining as a crucial tool for managing company data and as an innovative technology for gaining a competitive edge. The readers will get the ability to discern data sources and modify them for data mining. They will also gain comprehensive knowledge of all data mining techniques, methodologies, and tools. The book’s cover will enable you to systematically discover possibilities for extracting business value from data using analytical means. This book delves into the ideas of data mining and data warehousing, which are rapidly growing areas in database systems. It provides a comprehensive and detailed introduction to the topic of data mining. Data mining is an interdisciplinary field that incorporates various disciplines such as database technology, statistics, machine learning, neural networks, artificial intelligence, pattern recognition, knowledge-based systems, knowledge acquisition, information retrieval, high-performance computing, and data visualization. More specifically it explores the methodologies for extracting patterns and insights from extensive datasets, referred to as knowledge discovery through data, or KDD. The main emphasis is on evaluating the practicality, utility, efficiency, and expandability of data mining methods for large data sets. The objective is to introduce essential principles and methods for each subject, educating the reader with the necessary foundation for the practical implementation of data mining in real-world scenarios.
Book Synopsis Business Modeling and Data Mining by : Dorian Pyle
Download or read book Business Modeling and Data Mining written by Dorian Pyle and published by Elsevier. This book was released on 2003-05-17 with total page 650 pages. Available in PDF, EPUB and Kindle. Book excerpt: Business Modeling and Data Mining demonstrates how real world business problems can be formulated so that data mining can answer them. The concepts and techniques presented in this book are the essential building blocks in understanding what models are and how they can be used practically to reveal hidden assumptions and needs, determine problems, discover data, determine costs, and explore the whole domain of the problem. This book articulately explains how to understand both the strategic and tactical aspects of any business problem, identify where the key leverage points are and determine where quantitative techniques of analysis -- such as data mining -- can yield most benefit. It addresses techniques for discovering how to turn colloquial expression and vague descriptions of a business problem first into qualitative models and then into well-defined quantitative models (using data mining) that can then be used to find a solution. The book completes the process by illustrating how these findings from data mining can be turned into strategic or tactical implementations. · Teaches how to discover, construct and refine models that are useful in business situations · Teaches how to design, discover and develop the data necessary for mining · Provides a practical approach to mining data for all business situations · Provides a comprehensive, easy-to-use, fully interactive methodology for building models and mining data · Provides pointers to supplemental online resources, including a downloadable version of the methodology and software tools.
Book Synopsis Data Mining and Predictive Analytics for Business Decisions by : Andres Fortino
Download or read book Data Mining and Predictive Analytics for Business Decisions written by Andres Fortino and published by Mercury Learning and Information. This book was released on 2023-01-30 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: With many recent advances in data science, we have many more tools and techniques available for data analysts to extract information from data sets. This book will assist data analysts to move up from simple tools such as Excel for descriptive analytics to answer more sophisticated questions using machine learning. Most of the exercises use R and Python, but rather than focus on coding algorithms, the book employs interactive interfaces to these tools to perform the analysis. Using the CRISP-DM data mining standard, the early chapters cover conducting the preparatory steps in data mining: translating business information needs into framed analytical questions and data preparation. The Jamovi and the JASP interfaces are used with R and the Orange3 data mining interface with Python. Where appropriate, Voyant and other open-source programs are used for text analytics. The techniques covered in this book range from basic descriptive statistics, such as summarization and tabulation, to more sophisticated predictive techniques, such as linear and logistic regression, clustering, classification, and text analytics. Includes companion files with case study files, solution spreadsheets, data sets and charts, etc. from the book. FEATURES: Covers basic descriptive statistics, such as summarization and tabulation, to more sophisticated predictive techniques, such as linear and logistic regression, clustering, classification, and text analytics Uses R, Python, Jamovi and JASP interfaces, and the Orange3 data mining interface Includes companion files with the case study files from the book, solution spreadsheets, data sets, etc.
Book Synopsis Data-Centric Business and Applications by : Natalia Kryvinska
Download or read book Data-Centric Business and Applications written by Natalia Kryvinska and published by Springer. This book was released on 2019-07-16 with total page 461 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores various aspects of data engineering and information processing. In this second volume, the authors assess the challenges and opportunities involved in doing business with information. Their contributions on business information processing and management reflect diverse viewpoints – not only technological, but also business and social. As the global marketplace grows more and more complex due to the increasing availability of data, the information business is steadily gaining popularity and has a huge impact on modern society. Thus, there is a growing need for consensus on how business information can be created, accessed, used and managed.
Book Synopsis Data-Driven Business Intelligence Systems for Socio-Technical Organizations by : Keikhosrokiani, Pantea
Download or read book Data-Driven Business Intelligence Systems for Socio-Technical Organizations written by Keikhosrokiani, Pantea and published by IGI Global. This book was released on 2024-04-09 with total page 514 pages. Available in PDF, EPUB and Kindle. Book excerpt: The convergence of modern technology and social dynamics have shaped the very fabric of today’s organizations, making the role of Business Intelligence (BI) profoundly significant. Data-Driven Business Intelligence Systems for Socio-Technical Organizations delves into the heart of this transformative realm, offering an academic exploration of the tools, strategies, and methodologies that propel enterprises toward data-driven decision-making excellence. Socio-technical organizations, with their intricate interplay between human and technological components, require a unique approach to BI. This book embarks on a comprehensive journey, revealing how BI tools empower these entities to decipher the complexities of their data landscape. From user behavior to social interactions, technological systems to environmental factors, this work sheds light on the multifaceted sources of information that inform organizational strategies. Decision-makers within socio-technical organizations leverage BI insights to discern patterns, spot trends, and uncover correlations that influence operations and the intricate social dynamics within their entities. Research covering real-time monitoring and predictive analytics equips these organizations to respond swiftly to demands and anticipate future trends, harnessing the full potential of data. The book delves into their design, development, and architectural nuances, illuminating these concepts through case studies. This book is ideal for business executives, entrepreneurs, data analysts, marketers, government officials, educators, and researchers.
Book Synopsis Data Analytics for Business by : Ira J. Haimowitz
Download or read book Data Analytics for Business written by Ira J. Haimowitz and published by Taylor & Francis. This book was released on 2022-12-20 with total page 162 pages. Available in PDF, EPUB and Kindle. Book excerpt: Interest in applying analytics, machine learning, and artificial intelligence to sales and marketing has grown dramatically, with no signs of slowing down. This book provides essential guidance to apply advanced analytics and data mining techniques to real-world business applications. The foundation of this text is the author’s 20-plus years of developing and delivering big data and artificial intelligence solutions across multiple industries: financial services, pharmaceuticals, consumer packaged goods, media, and retail. He provides guidelines and summarized cases for those studying or working in the fields of data science, data engineering, and business analytics. The book also offers a distinctive style: a series of essays, each of which summarizes a critical lesson or provides a step-by-step business process, with specific examples of successes and failures. Sales and marketing executives, project managers, business and engineering professionals, and graduate students will find this clear and comprehensive book the ideal companion when navigating the complex world of big data analytics.
Book Synopsis Open Source Data Warehousing and Business Intelligence by : Lakshman Bulusu
Download or read book Open Source Data Warehousing and Business Intelligence written by Lakshman Bulusu and published by CRC Press. This book was released on 2012-08-06 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: Open Source Data Warehousing and Business Intelligence is an all-in-one reference for developing open source based data warehousing (DW) and business intelligence (BI) solutions that are business-centric, cross-customer viable, cross-functional, cross-technology based, and enterprise-wide. Considering the entire lifecycle of an open source DW &
Book Synopsis Data Analytics for Business by : Fenio Annansingh
Download or read book Data Analytics for Business written by Fenio Annansingh and published by Routledge. This book was released on 2022-04-20 with total page 265 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data analytics underpin our modern data-driven economy. This textbook explains the relevance of data analytics at the firm and industry levels, tracing the evolution and key components of the field, and showing how data analytics insights can be leveraged for business results. The first section of the text covers key topics such as data analytics tools, data mining, business intelligence, customer relationship management, and cybersecurity. The chapters then take an industry focus, exploring how data analytics can be used in particular settings to strengthen business decision-making. A range of sectors are examined, including financial services, accounting, marketing, sport, health care, retail, transport, and education. With industry case studies, clear definitions of terminology, and no background knowledge required, this text supports students in gaining a solid understanding of data analytics and its practical applications. PowerPoint slides, a test bank of questions, and an instructor’s manual are also provided as online supplements. This will be a valuable text for undergraduate level courses in data analytics, data mining, business intelligence, and related areas.
Book Synopsis Green Data Center & Internet Business by :
Download or read book Green Data Center & Internet Business written by and published by Information Gatekeepers Inc. This book was released on with total page 16 pages. Available in PDF, EPUB and Kindle. Book excerpt:
