Business Intelligence And The Cloud
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Business Intelligence And The Cloud
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Author : Michael S. Gendron
language : en
Publisher: John Wiley & Sons
Release Date : 2014-05-12
Business Intelligence And The Cloud written by Michael S. Gendron and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-12 with Business & Economics categories.
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.
Impacts And Challenges Of Cloud Business Intelligence
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Author : Aljawarneh, Shadi
language : en
Publisher: IGI Global
Release Date : 2020-12-18
Impacts And Challenges Of Cloud Business Intelligence written by Aljawarneh, Shadi and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-18 with Computers categories.
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.
Ibm Business Analytics And Cloud Computing
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Author : Anant Jhingran
language : en
Publisher:
Release Date : 2010-11
Ibm Business Analytics And Cloud Computing written by Anant Jhingran and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-11 with Business & Economics categories.
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.
Business Intelligence With Power Bi And Tableau Cloud Based Data Warehousing Predictive Analytics And Artificial Intelligence Driven Decision Support
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Author : Sibaram Prasad Panda
language : en
Publisher: Deep Science Publishing
Release Date : 2025-08-15
Business Intelligence With Power Bi And Tableau Cloud Based Data Warehousing Predictive Analytics And Artificial Intelligence Driven Decision Support written by Sibaram Prasad Panda and has been published by Deep Science Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-15 with Computers categories.
The Advanced Business Intelligence- Tools and Techniques for Data-Driven Decision Making provides a comprehensive discovery of the modern ecosystem for business intelligence, which detects the development from stable reports to dynamic, real -time analysis A dedicated comparison considers each tool on important dimensions, including matrix prices, integration skills, scalability and purpose, which allows informed decisions. The book concludes by detecting practical, sector -specific applications of BI, showing how industries to reveal insights into health services from finance, to increase efficiency and maintain a competitive management to industries. Whether for IT subjects, data analysts or business executives, this guide acts as a reference and a roadmap to navigate in diverse BI tools.
Perspectives On Business Intelligence
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Author : Raymond T. Ng
language : en
Publisher: Springer Nature
Release Date : 2022-05-31
Perspectives On Business Intelligence written by Raymond T. Ng and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-31 with Computers categories.
In the 1980s, traditional Business Intelligence (BI) systems focused on the delivery of reports that describe the state of business activities in the past, such as for questions like "How did our sales perform during the last quarter?" A decade later, there was a shift to more interactive content that presented how the business was performing at the present time, answering questions like "How are we doing right now?" Today the focus of BI users are looking into the future. "Given what I did before and how I am currently doing this quarter, how will I do next quarter?" Furthermore, fuelled by the demands of Big Data, BI systems are going through a time of incredible change. Predictive analytics, high volume data, unstructured data, social data, mobile, consumable analytics, and data visualization are all examples of demands and capabilities that have become critical within just the past few years, and are growing at an unprecedented pace. This book introduces research problems and solutions on various aspects central to next-generation BI systems. It begins with a chapter on an industry perspective on how BI has evolved, and discusses how game-changing trends have drastically reshaped the landscape of BI. One of the game changers is the shift toward the consumerization of BI tools. As a result, for BI tools to be successfully used by business users (rather than IT departments), the tools need a business model, rather than a data model. One chapter of the book surveys four different types of business modeling. However, even with the existence of a business model for users to express queries, the data that can meet the needs are still captured within a data model. The next chapter on vivification addresses the problem of closing the gap, which is often significant, between the business and the data models. Moreover, Big Data forces BI systems to integrate and consolidate multiple, and often wildly different, data sources. One chapter gives an overview of several integration architectures for dealing with the challenges that need to be overcome. While the book so far focuses on the usual structured relational data, the remaining chapters turn to unstructured data, an ever-increasing and important component of Big Data. One chapter on information extraction describes methods for dealing with the extraction of relations from free text and the web. Finally, BI users need tools to visualize and interpret new and complex types of information in a way that is compelling, intuitive, but accurate. The last chapter gives an overview of information visualization for decision support and text.
Business Intelligence And Data Analysis In The Age Of Ai
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Author : Arshad Khan
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2025-03-01
Business Intelligence And Data Analysis In The Age Of Ai written by Arshad Khan and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-01 with Computers categories.
Unlock data-driven decision-making with Business Intelligence and Data Analysis in the Age of AI. This guide combines traditional BI with AI’s transformative power to help professionals and newcomers excel in the data era. Whether you're a seasoned professional or new to BI, this book provides actionable strategies to navigate the complexities of modern data analysis. Embark on this illuminating journey to master the tools, strategies, and ethical considerations that define modern business intelligence and AI. FEATURES • BI Fundamentals: Master analytics processes and tools • Ethical and Regulatory Challenges: Navigate governance, security, privacy, and ethical frameworks • BI Tools: Learn the power of tools like R, SQL, Python, and data manipulation techniques • Visualize and Predict: Learn data visualization and predictive analytics to forecast trends and drive innovation • Embrace the Future: Discover how AI transforms BI, unlocking new opportunities and navigating emerging risks.
Utilizing Big Data Paradigms For Business Intelligence
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Author : Darmont, Jérôme
language : en
Publisher: IGI Global
Release Date : 2018-08-10
Utilizing Big Data Paradigms For Business Intelligence written by Darmont, Jérôme and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-10 with Business & Economics categories.
Because efficient compilation of information allows managers and business leaders to make the best decisions for the financial solvency of their organizations, data analysis is an important part of modern business administration. Understanding the use of analytics, reporting, and data mining in everyday business environments is imperative to the success of modern businesses. Utilizing Big Data Paradigms for Business Intelligence is a pivotal reference source that provides vital research on how to address the challenges of data extraction in business intelligence using the five “Vs” of big data: velocity, volume, value, variety, and veracity. This book is ideally designed for business analysts, investors, corporate managers, entrepreneurs, and researchers in the fields of computer science, data science, and business intelligence.
Driving Modern Business Intelligence Architecture For Operational Efficiency
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Author : Ishtaiwi, Abdelraouf
language : en
Publisher: IGI Global
Release Date : 2025-09-10
Driving Modern Business Intelligence Architecture For Operational Efficiency written by Ishtaiwi, Abdelraouf and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-09-10 with Computers categories.
Driving modern business intelligence (BI) architecture is essential for organizations to enhance operational efficiency and make data-driven decisions. As businesses accumulate large amounts of data from diverse sources, traditional BI tools struggle to deliver real-time insights and agility. Modern BI architecture leverages cloud-based platforms, data lakes, AI-driven analytics, and self-service capabilities to unify data access and accelerate decision-making. This empowers stakeholders across departments with actionable intelligence and streamline operations by identifying inefficiencies, predicting trends, and automating analysis. Further research into an adaptive BI framework may assist with future business strategies. Driving Modern Business Intelligence Architecture for Operational Efficiency explores the evolving landscape of data management within BI systems, addressing organizations' critical challenges in managing, processing, and utilizing vast amounts of data for strategic decision-making. It offers insights into cutting-edge tools, methodologies, and best practices for effective data management in BI environments. This book covers topics such as data governance, predictive security, and machine learning, and is a useful resource for computer engineers, business owners, economists, academicians, researchers, and data scientists.
The New Era Of Enterprise Business Intelligence
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Author : Mike Biere
language : en
Publisher: Pearson Education
Release Date : 2010-08-15
The New Era Of Enterprise Business Intelligence written by Mike Biere and has been published by Pearson Education this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-08-15 with Business & Economics categories.
A Complete Blueprint for Maximizing the Value of Business Intelligence in the Enterprise The typical enterprise recognizes the immense potential of business intelligence (BI) and its impact upon many facets within the organization—but it’s not easy to transform BI’s potential into real business value. In The New Era of Enterprise Business Intelligence, top BI expert Mike Biere presents a complete blueprint for creating winning BI strategies and infrastructure, and systematically maximizing the value of information throughout the enterprise. This product-independent guide brings together start-to-finish guidance and practical checklists for every senior IT executive, planner, strategist, implementer, and the actual business users themselves. Drawing on thousands of hours working with enterprise customers, Biere helps decision-makers choose from today’s unprecedented spectrum of options, including the latest BI platform suites and appliances. He offers practical, “in-the-trenches” insights on a wide spectrum of planning and implementation issues, from segmenting and supporting users to working with unstructured data. Coverage includes Understanding the scope of today’s BI solutions and how they fit into existing infrastructure Assessing new options such as SaaS and cloud-based technologies Avoiding technology biases and other “project killers” Developing effective RFIs/RFPs and proofs of concept Setting up competency centers and planning for skills development Crafting a better experience for all your business users Supporting the requirements of senior executives, including performance management Cost-justifying BI solutions and measuring success Working with enterprise content management, text analytics, and search Planning and constructing portals, mashups, and other user interfaces Previewing the future of BI
Business Intelligence In The Cloud
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Author :
language : en
Publisher:
Release Date : 2015
Business Intelligence In The Cloud written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with categories.