Download or read book Impacts and Challenges of Cloud Business Intelligence written by Aljawarneh, Shadi and published by IGI Global. This book was released on 2020-12-18 with total page 263 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cloud computing provides an easier alternative for starting an IT-based business organization that requires much less of an initial investment. Cloud computing offers a significant edge of traditional computing with big data being continuously transferred to the cloud. For extraction of relevant data, cloud business intelligence must be utilized. Cloud-based tools, such as customer relationship management (CRM), Salesforce, and Dropbox are increasingly being integrated by enterprises looking to increase their agility and efficiency. Impacts and Challenges of Cloud Business Intelligence is a cutting-edge scholarly resource that provides comprehensive research on business intelligence in cloud computing and explores its applications in conjunction with other tools. Highlighting a wide range of topics including swarm intelligence, algorithms, and cloud analytics, this book is essential for entrepreneurs, IT professionals, managers, business professionals, practitioners, researchers, academicians, and students.

Download or read book Business Intelligence and the Cloud written by Michael S. Gendron and published by John Wiley & Sons. This book was released on 2014-05-12 with total page 193 pages. Available in PDF, EPUB and Kindle. Book excerpt: How to measure cloud computing options and benefits to impact business intelligence infrastructure This book is a guide for managers and others involved in using cloud computing to create business value. It starts with a discussion of the media hype around cloud computing and attempt to pull together what industry experts are saying in order to create a unified definition. Once this foundation is created—assisting the reader's understanding of what cloud computing is—the discussion moves to getting business benefits from cloud computing. Lastly, the discussion focuses on examples of cloud computing, public clouds, private clouds, and virtualization. The book emphasizes how these technologies can be used to create business value and how they can be integrated into an organizations business intelligence system. It helps the user make a business case for cloud computing applications—applications that are used to gather/create data, which in turn are used to generate business intelligence.

Download or read book Research Anthology on Business Continuity and Navigating Times of Crisis written by Information Resources Management Association and published by Business Science Reference. This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: When the COVID-19 pandemic caused a halt in global society, many business leaders found themselves unprepared for the unprecedented change that swept across industry. Whether the need to shift to remote work or the inability to safely conduct business during a global pandemic, many businesses struggled in the transition to the "new normal." In the wake of the pandemic, these struggles have created opportunities to study how businesses navigate these times of crisis. The Research Anthology on Business Continuity and Navigating Times of Crisis discusses the strategies, cases, and research surrounding business continuity throughout crises such as pandemics. This book analyzes business operations and the state of the economy during times of crisis and the leadership involved in recovery. Covering topics such as crisis management, entrepreneurship, and business sustainability, this four-volume comprehensive major reference work is a valuable resource for managers, CEOs, business leaders, entrepreneurs, professors and students of higher education, researchers, and academicians.

Download or read book IBM Business Analytics and Cloud Computing written by Anant Jhingran and published by . This book was released on 2010 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Business intelligence and analytics software enable businesses to analyze performance data in order to make better decisions through the use of cloud computing--an Internet-based model for convenient, on-demand network access to a shared pool of configurable computing resources. This book is a practitioner's guide for successful evaluation and design for implementation of Cognos Business Intelligence cloud solution, for either Cognos 8 BI or Cognos Business Intelligence Version 10. With pragmatic and practical information about the best practices and guidelines, as well as specific software and configuration steps, this guide for solutions and IT architects includes detailed screen shots, code samples, and input instructions.

Download or read book Perspectives on Business Intelligence written by Raymond T. Ng and published by Morgan & Claypool Publishers. This book was released on 2013-04-01 with total page 165 pages. Available in PDF, EPUB and Kindle. Book excerpt: business intelligence, big data, business modeling, vivification, data integration, information extraction, information visualization

Download or read book E Business written by Robert M.X. Wu and published by BoD – Books on Demand. This book was released on 2021-05-19 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides the latest viewpoints of scientific research in the field of e-business. It is organized into three sections: “Higher Education and Digital Economy Development”, “Artificial Intelligence in E-Business”, and “Business Intelligence Applications”. Chapters focus on China’s higher education in e-commerce, digital economy development, natural language processing applications in business, Information Technology Governance, Risk and Compliance (IT GRC), business intelligence, and more.

Download or read book Successful Business Intelligence Secrets to Making BI a Killer App written by Cindi Howson and published by McGraw Hill Professional. This book was released on 2007-12-17 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: Praise for Successful Business Intelligence "If you want to be an analytical competitor, you've got to go well beyond business intelligence technology. Cindi Howson has wrapped up the needed advice on technology, organization, strategy, and even culture in a neat package. It's required reading for quantitatively oriented strategists and the technologists who support them." --Thomas H. Davenport, President's Distinguished Professor, Babson College and co-author, Competing on Analytics "When used strategically, business intelligence can help companies transform their organization to be more agile, more competitive, and more profitable. Successful Business Intelligence offers valuable guidance for companies looking to embark upon their first BI project as well as those hoping to maximize their current deployments." --John Schwarz, CEO, Business Objects "A thoughtful, clearly written, and carefully researched examination of all facets of business intelligence that your organization needs to know to run its business more intelligently and exploit information to its fullest extent." --Wayne Eckerson, Director, TDWI Research "Using real-world examples, Cindi Howson shows you how to use business intelligence to improve the performance, and the quality, of your company." --Bill Baker, Distinguished Engineer & GM, Business Intelligence Applications, Microsoft Corporation "This book outlines the key steps to make BI an integral part of your company's culture and demonstrates how your company can use BI as a competitive differentiator." --Robert VanHees, CFO, Corporate Express "Given the trend to expand the business analytics user base, organizations are faced with a number of challenges that affect the success rate of these projects. This insightful book provides practical advice on improving that success rate." --Dan Vesset, Vice President, Business Analytics Solution Research, IDC

Download or read book Applying Business Intelligence Initiatives in Healthcare and Organizational Settings written by Miah, Shah J. and published by IGI Global. This book was released on 2018-07-13 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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. Applying Business Intelligence Initiatives in Healthcare and Organizational Settings incorporates emerging concepts, methods, models, and relevant applications of business intelligence systems within problem contexts of healthcare and other organizational boundaries. Featuring coverage on a broad range of topics such as rise of embedded analytics, competitive advantage, and strategic capability, this book is ideally designed for business analysts, investors, corporate managers, and entrepreneurs seeking to advance their understanding and practice of business intelligence.

Download or read book Business Intelligence and Performance Management written by Peter Rausch and published by Springer Science & Business Media. This book was released on 2013-02-15 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: During the 21st century business environments have become more complex and dynamic than ever before. Companies operate in a world of change influenced by globalisation, volatile markets, legal changes and technical progress. As a result, they have to handle growing volumes of data and therefore require fast storage, reliable data access, intelligent retrieval of information and automated decision-making mechanisms, all provided at the highest level of service quality. Successful enterprises are aware of these challenges and efficiently respond to the dynamic environment in which their business operates. Business Intelligence (BI) and Performance Management (PM) offer solutions to these challenges and provide techniques to enable effective business change. The important aspects of both topics are discussed within this state-of-the-art volume. It covers the strategic support, business applications, methodologies and technologies from the field, and explores the benefits, issues and challenges of each. Issues are analysed from many different perspectives, ranging from strategic management to data technologies, and the different subjects are complimented and illustrated by numerous examples of industrial applications. Contributions are authored by leading academics and practitioners representing various universities, research centres and companies worldwide. Their experience covers multiple disciplines and industries, including finance, construction, logistics, and public services, amongst others. Business Intelligence and Performance Management is a valuable source of reference for graduates approaching MSc or PhD programs and for professionals in industry researching in the fields of BI and PM for industrial application.

Download or read book Decision Support Analytics and Business Intelligence Third Edition written by Daniel J. Power and published by Business Expert Press. This book was released on 2017-06-08 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: Rapid technology change is impacting organizations large and small. Mobile and Cloud computing, the Internet of Things (IoT), and “Big Data” are driving forces in organizational digital transformation. Decision support and analytics are available to many people in a business or organization. Business professionals need to learn about and understand computerized decision support for organizations to succeed. This text is targeted to busy managers and students who need to grasp the basics of computerized decision support, including: What is analytics? What is a decision support system? What is “Big Data”? What are “Big Data” business use cases? Overall, it addresses 61 fundamental questions. In a short period of time, readers can “get up to speed” on decision support, analytics, and business intelligence. The book then provides a quick reference to important recurring questions.

Download or read book Business Intelligence Guidebook written by Rick Sherman and published by Newnes. This book was released on 2014-11-04 with total page 551 pages. Available in PDF, EPUB and Kindle. Book excerpt: Between the high-level concepts of business intelligence and the nitty-gritty instructions for using vendors’ tools lies the essential, yet poorly-understood layer of architecture, design and process. Without this knowledge, Big Data is belittled – projects flounder, are late and go over budget. Business Intelligence Guidebook: From Data Integration to Analytics shines a bright light on an often neglected topic, arming you with the knowledge you need to design rock-solid business intelligence and data integration processes. Practicing consultant and adjunct BI professor Rick Sherman takes the guesswork out of creating systems that are cost-effective, reusable and essential for transforming raw data into valuable information for business decision-makers. After reading this book, you will be able to design the overall architecture for functioning business intelligence systems with the supporting data warehousing and data-integration applications. You will have the information you need to get a project launched, developed, managed and delivered on time and on budget – turning the deluge of data into actionable information that fuels business knowledge. Finally, you’ll give your career a boost by demonstrating an essential knowledge that puts corporate BI projects on a fast-track to success. Provides practical guidelines for building successful BI, DW and data integration solutions. Explains underlying BI, DW and data integration design, architecture and processes in clear, accessible language. Includes the complete project development lifecycle that can be applied at large enterprises as well as at small to medium-sized businesses Describes best practices and pragmatic approaches so readers can put them into action. Companion website includes templates and examples, further discussion of key topics, instructor materials, and references to trusted industry sources.

Download or read book Business Intelligence Tools for Small Companies written by Albert Nogués and published by Apress. This book was released on 2017-05-25 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn how to transition from Excel-based business intelligence (BI) analysis to enterprise stacks of open-source BI tools. Select and implement the best free and freemium open-source BI tools for your company’s needs and design, implement, and integrate BI automation across the full stack using agile methodologies. Business Intelligence Tools for Small Companies provides hands-on demonstrations of open-source tools suitable for the BI requirements of small businesses. The authors draw on their deep experience as BI consultants, developers, and administrators to guide you through the extract-transform-load/data warehousing (ETL/DWH) sequence of extracting data from an enterprise resource planning (ERP) database freely available on the Internet, transforming the data, manipulating them, and loading them into a relational database. The authors demonstrate how to extract, report, and dashboard key performance indicators (KPIs) in a visually appealing format from the relational database management system (RDBMS). They model the selection and implementation of free and freemium tools such as Pentaho Data Integrator and Talend for ELT, Oracle XE and MySQL/MariaDB for RDBMS, and Qliksense, Power BI, and MicroStrategy Desktop for reporting. This richly illustrated guide models the deployment of a small company BI stack on an inexpensive cloud platform such as AWS. What You'll Learn You will learn how to manage, integrate, and automate the processes of BI by selecting and implementing tools to: Implement and manage the business intelligence/data warehousing (BI/DWH) infrastructure Extract data from any enterprise resource planning (ERP) tool Process and integrate BI data using open-source extract-transform-load (ETL) tools Query, report, and analyze BI data using open-source visualization and dashboard tools Use a MOLAP tool to define next year's budget, integrating real data with target scenarios Deploy BI solutions and big data experiments inexpensively on cloud platforms Who This Book Is For Engineers, DBAs, analysts, consultants, and managers at small companies with limited resources but whose BI requirements have outgrown the limitations of Excel spreadsheets; personnel in mid-sized companies with established BI systems who are exploring technological updates and more cost-efficient solutions

Download or read book Business Intelligence Concepts Methodologies Tools and Applications written by Management Association, Information Resources and published by IGI Global. This book was released on 2015-12-29 with total page 2326 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Business Intelligence as a Service written by Jens Hunger and published by GRIN Verlag. This book was released on 2010-09-27 with total page 62 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bachelorarbeit aus dem Jahr 2010 im Fachbereich Informatik - Wirtschaftsinformatik, Note: 1,3, Hochschule Mainz, Sprache: Deutsch, Abstract: Mietmodelle für die Nutzung gehosteter Software, die mit Schlagworten wie On-Demand, Cloud Computing, SaaS oder ASP vermarktet werden, sind in den letzten Jahren in vielen Bereichen des Softwaremarktes auf dem Vormarsch. Angetrieben durch die Wirtschaftskrise versprechen die Marketingaussagen von SaaS-Anbietern besonders mittelständischen Unternehmen den kostengünstigen Zugang zu komplexen Geschäftsanwendungen, ohne das krisenbedingt eingeschränkte Investitionsbudget zu belasten. Nachdem sich SaaS-Lösungen im Bereich des Customer Relationship Managements bereits erfolgreich etablieren konnten, und auch ERP-Systeme den Weg in die Cloud beschreiten, gewinnt dieser Bereich auch für den Business Intelligence-Markt an Bedeutung. Klassisch werden Business Intelligence Produkte innerhalb des unternehmenseigenen Netzwerks (on-premise) betrieben, um die Anbindung an die in der Regel im gleichen Umfeld betriebenen Vorsysteme zu erleichtern. Die wachsende Zahl der Angebote für das Hosting der klassischen Datenquellen für BI-Lösungen wie zum Beispiel ERP-Systeme oder Systeme für Finanzbuchhaltung auf firmenexternen Systemen legt den Gedanken nahe, auch die Analyse dieser Daten auszulagern. Besonders für die Zielgruppe der mittelständischen Unternehmen, die über ein begrenztes Budget für den Aufbau und Erhalt einer eigenen BI-Infrastruktur verfügen, sind in letzter Zeit viele gehostete Lösungen auf den Markt gekommen, die für den BI-Markt an Bedeutung gewinnen. Das Software-as-a-Service-Modell verspricht Einsparungen im Bereich der IT-Investitionen und operativen Kosten bei kurzen Vertragslaufzeiten. Diese Bachelorarbeit soll die Frage klären, ob der Übertrag dieses Konzept auf Business Intelligence das Potential hat, herkömmliche on-premise-Lösungen zu ersetzen, und für welche Einsatzgebiete ein solches Konzept in Frage kommt. Diese Arbeit soll einen Überblick über die am Markt befindlichen Hosting-Modelle und deren Abgrenzung zueinander bieten. Die Einsatzmöglichkeiten dieser Lösungen im Business Intelligence Bereich sollen vor dem Hintergrund möglicher Einsatzgebiete im Bezug auf Unternehmensgröße und Branche kritisch bewertet werden.

Download or read book Business Intelligence Applied written by Michael S. Gendron and published by John Wiley & Sons. This book was released on 2012-10-19 with total page 175 pages. Available in PDF, EPUB and Kindle. Book excerpt: Expert guidance for building an information communication and technology infrastructure that provides best in business intelligence Enterprise performance management (EPM) technology has been rapidly advancing, especially in the areas of predictive analysis and cloud-based solutions. Business intelligence caught on as a concept in the business world as the business strategy application of data warehousing in the early 2000s. With the recent surge in interest in data analytics and big data, it has seen a renewed level of interest as the ability of a business to find the valuable data in a timely—and competitive—fashion. Business Intelligence Applied reveals essential information for building an optimal and effective information and communication technology (ICT) infrastructure. Defines ICT infrastructure Examines best practices for documenting business change and for documenting technology recommendations Includes examples and cases from Europe and Asia Written for business intelligence staff, CIOs, CTOs, and technology managers With examples and cases from Europe and Asia, Business Intelligence Applied expertly covers business intelligence, a hot topic in business today as a key element to business and data analytics.

Download or read book Global Virtual Enterprises in Cloud Computing Environments written by Rao, N. Raghavendra and published by IGI Global. This book was released on 2018-12-28 with total page 281 pages. Available in PDF, EPUB and Kindle. Book excerpt: Modern businesses are on the lookout for ventures that boost their profits and marketability. Certain new and innovative technological advances can help enterprises accomplish their ambitious goals while providing detailed information to assess all aspects of the business. Global Virtual Enterprises in Cloud Computing Environments is a collection of innovative studies on business processes, procedures, methods, strategy, management thinking, and utilization of technology in cloud computing environments. While highlighting topics including international business strategy, virtual reality, and intellectual capital, this book is ideally designed for corporate executives, research scholars, and students pursuing courses in the areas of management and big data applications seeking current research on effective open innovation strategies in global business.

Download or read book Oracle Business Intelligence with Machine Learning written by Rosendo Abellera and published by Apress. This book was released on 2017-12-18 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: Use machine learning and Oracle Business Intelligence Enterprise Edition (OBIEE) as a comprehensive BI solution. This book follows a when-to, why-to, and how-to approach to explain the key steps involved in utilizing the artificial intelligence components now available for a successful OBIEE implementation. Oracle Business Intelligence with Machine Learning covers various technologies including using Oracle OBIEE, R Enterprise, Spatial Maps, and machine learning for advanced visualization and analytics. The machine learning material focuses on learning representations of input data suitable for a given prediction problem. This book focuses on the practical aspects of implementing machine learning solutions using the rich Oracle BI ecosystem. The primary objective of this book is to bridge the gap between the academic state-of-the-art and the industry state-of-the-practice by introducing you to machine learning with OBIEE. What You Will Learn See machine learning in OBIEE Master the fundamentals of machine learning and how it pertains to BI and advanced analytics Gain an introduction to Oracle R Enterprise Discover the practical considerations of implementing machine learning with OBIEE Who This Book Is For Analytics managers, BI architects and developers, and data scientists.