Business Intelligence In The Cloud

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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.

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.

Ibm Business Analytics And Cloud Computing

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Author : Anant Jhingran
language : en
Publisher:
Release Date : 2010

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 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 Analytics

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Author : Thomas W. Jackson
language : en
Publisher: Bloomsbury Publishing
Release Date : 2018-09-21

Business Analytics written by Thomas W. Jackson and has been published by Bloomsbury Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-21 with Business & Economics categories.

This innovative new textbook, co-authored by an established academic and a leading practitioner, is the first to bring together issues of cloud computing, business intelligence and big data analytics in order to explore how organisations use cloud technology to analyse data and make decisions. In addition to offering an up-to-date exploration of key issues relating to data privacy and ethics, information governance, and the future of analytics, the text describes the options available in deploying analytic solutions to the cloud and draws on real-world, international examples from companies such as Rolls Royce, Lego, Volkswagen and Samsung. Combining academic and practitioner perspectives that are crucial to the understanding of this growing field, Business Analytics acts an ideal core text for undergraduate, postgraduate and MBA modules on Big Data, Business and Data Analytics, and Business Intelligence, as well as functioning as a supplementary text for modules in Marketing Analytics. The book is also an invaluable resource for practitioners and will quickly enable the next generation of 'Information Builders' within organisations to understand innovative cloud based-analytic solutions.

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 As A Service

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Author : Jens Hunger
language : de
Publisher: GRIN Verlag
Release Date : 2010-09

Business Intelligence As A Service written by Jens Hunger and has been published by GRIN Verlag this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-09 with Computers categories.

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

Perspectives On Business Intelligence

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Author : Raymond T. Ng
language : en
Publisher: Morgan & Claypool Publishers
Release Date : 2013-04-01

Perspectives On Business Intelligence written by Raymond T. Ng and has been published by Morgan & Claypool Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-04-01 with Computers categories.

business intelligence, big data, business modeling, vivification, data integration, information extraction, information visualization

Effective Business Intelligence With Quicksight

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Author : Rajesh Nadipalli
language : en
Publisher: Packt Publishing Ltd
Release Date : 2017-03-10

Effective Business Intelligence With Quicksight written by Rajesh Nadipalli and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-03-10 with Computers categories.

From data to actionable business insights using Amazon QuickSight! About This Book A practical hands-on guide to improving your business with the power of BI and Quicksight Immerse yourself with an end-to-end journey for effective analytics using QuickSight and related services Packed with real-world examples with Solution Architectures needed for a cloud-powered Business Intelligence service Who This Book Is For This book is for Business Intelligence architects, BI developers, Big Data architects, and IT executives who are looking to modernize their business intelligence architecture and deliver a fast, easy-to-use, cloud powered business intelligence service. What You Will Learn Steps to test drive QuickSight and see how it fits in AWS big data eco system Load data from various sources such as S3, RDS, Redshift, Athena, and SalesForce and visualize using QuickSight Understand how to prepare data using QuickSight without the need of an IT developer Build interactive charts, reports, dashboards, and storyboards using QuickSight Access QuickSight using the mobile application Architect and design for AWS Data Lake Solution, leveraging AWS hosted services Build a big data project with step-by-step instructions for data collection, cataloguing, and analysis Secure your data used for QuickSight from S3, RedShift, and RDS instances Manage users, access controls, and SPICE capacity In Detail Amazon QuickSight is the next-generation Business Intelligence (BI) cloud service that can help you build interactive visualizations on top of various data sources hosted on Amazon Cloud Infrastructure. QuickSight delivers responsive insights into big data and enables organizations to quickly democratize data visualizations and scale to hundreds of users at a fraction of the cost when compared to traditional BI tools. This book begins with an introduction to Amazon QuickSight, feature differentiators from traditional BI tools, and how it fits in the overall AWS big data ecosystem. With practical examples, you will find tips and techniques to load your data to AWS, prepare it, and finally visualize it using QuickSight. You will learn how to build interactive charts, reports, dashboards, and stories using QuickSight and share with others using just your browser and mobile app. The book also provides a blueprint to build a real-life big data project on top of AWS Data Lake Solution and demonstrates how to build a modern data lake on the cloud with governance, data catalog, and analysis. It reviews the current product shortcomings, features in the roadmap, and how to provide feedback to AWS. Grow your profits, improve your products, and beat your competitors. Style and approach This book takes a fast-paced, example-driven approach to demonstrate the power of QuickSight to improve your business' efficiency. Every chapter is accompanied with a use case that shows the practical implementation of the step being explained.

Business Intelligence Tools For Small Companies

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Author : Albert Nogués
language : en
Publisher: Apress
Release Date : 2017-05-25

Business Intelligence Tools For Small Companies written by Albert Nogués and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-05-25 with Computers categories.

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

Business Intelligence With Looker Cookbook

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Author : Khrystyna Grynko
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-05-24

Business Intelligence With Looker Cookbook written by Khrystyna Grynko and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-24 with Computers categories.

Use Looker for visualizing data, data analysis, and reporting, and learn how to connect to your data, build dashboards and reports, and share insights with your team Key Features Explore data visualization, analysis, and reporting with Looker to gain insights from your data Connect to data sources, build dashboards, and create reports to track and share key metrics Share insights with your team to make better business decisions Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionLooker is a data analytics and business intelligence platform that allows organizations to explore, analyze, and visualize their data. It provides tools for data modeling, exploration, and visualization, enabling you to gain insights from your data to make informed business decisions. You’ll start with the basics, from setting up your Looker environments to configuring views and models using LookML. As you progress, you’ll delve into more advanced topics, such as navigating data in Explore, tailoring dashboards to your needs, and adding dynamic elements for interactivity. Along the way, you'll gain invaluable troubleshooting skills to tackle common issues and optimize your Looker usage, ensuring a smooth and seamless experience. Furthermore, the book extends your understanding beyond the basics, equipping you with the knowledge you need to develop Looker applications and seamlessly integrate them with other tools and applications. You'll also explore advanced techniques for harnessing Looker's full potential, empowering you to establish data-driven decision-making and innovation within your organization. By the end of this BI book, you'll have gained a solid understanding of how to use Looker to find important information, make tasks easier, and derive important insights.What you will learn Understand Looker's key components, including LookML, data models, and dashboards. Explore Looker's functionality, including custom fields, calculations, and visualizations. Work with Looker dashboards using dynamic elements like links and actions. Use different types of filters for dimensions to create dashboards Develop Looker applications using essential tools and frameworks Explore additional applications for the Looker organization Integrate Looker with other tools using APIs, connectors, and data pipelines Who this book is for If you’re a business analyst, data analyst, or BI developer who wants to get well-versed with the features of Looker, this book is for you. Basic knowledge of business intelligence is required to get started.