Open Source Business Intelligence
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Open Source Business Intelligence
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Author : Nils Clausen
language : en
Publisher: BoD – Books on Demand
Release Date : 2009
Open Source Business Intelligence written by Nils Clausen and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with Technology & Engineering categories.
This book presents an in-depth introduction to the characteristics and capabilities of two data-mining and business intelligence software packages: RapidMiner and the Jaspersoft Business Intelligence (BI) Suite.
Using Open Source Platforms For Business Intelligence
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Author : Lyndsay Wise
language : en
Publisher: Newnes
Release Date : 2012-09-17
Using Open Source Platforms For Business Intelligence written by Lyndsay Wise and has been published by Newnes this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-09-17 with Business & Economics categories.
Learn how to implement Open Source BI solutions and increase ROI with this practical guide to the OS BI market USING OPEN SOURCE PLATFORMS FOR BUSINESS INTELLIGENCE Lyndsay Wise Endorsement TK Open Source BI solutions have many advantages over traditional proprietary software, from offering lower initial costs to more flexible support and integration options; but, until now, there has been no comprehensive guide to the complete offerings of the OS BI market. Writing for IT managers and business analysts without bias toward any BI suite, industry insider Lyndsay Wise covers the benefits and challenges of all available open source BI systems and tools, enabling readers to identify the solutions and technologies that best meet their business needs. Wise compares and contrasts types of OS BI and proprietary tools on the market, including Pentaho, Jaspersoft, RapidMiner, SpagoBI, BIRT, and many more. Real-world case studies and project templates clarify the steps involved in implementing open source BI, saving new users the time and trouble of developing their own solutions from scratch. For business managers who are hard pressed to indentify the best BI solutions and software for their companies, this book provides a practical guide to evaluating the ROI of open source versus traditional BI deployments. Features . The only book to provide complete coverage of all open source BI systems and tools specifically for business managers, without bias toward any OS BI suite . A practical, step-by-step guide to implementing OS BI solutions that maximize ROI . Comprehensive coverage of all open source systems and tools, including architectures, data integration, support, optimization, data mining, data warehousing, and interoperability . Case studies and project templates enable readers to evaluate the benefits and tradeoffs of all OS BI options without having to spend time developing their own solutions from scratch About the Author Lyndsay Wise, President and Founder of WiseAnalytics
Open Source Data Warehousing And Business Intelligence
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Author : Lakshman Bulusu
language : en
Publisher: CRC Press
Release Date : 2012-08-06
Open Source Data Warehousing And Business Intelligence written by Lakshman Bulusu and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-08-06 with Computers categories.
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 &
Metabase Up And Running
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Author : Tim Abraham
language : en
Publisher: Packt Publishing Ltd
Release Date : 2020-09-30
Metabase Up And Running written by Tim Abraham 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 2020-09-30 with Computers categories.
Ask questions of your data and gain insights to make better business decisions using the open source business intelligence tool, Metabase Key FeaturesDeploy Metabase applications to let users across your organization interact with itLearn to create data visualizations, charts, reports, and dashboards with the help of a variety of examplesUnderstand how to embed Metabase into your website and send out reports automatically using email and SlackBook Description Metabase is an open source business intelligence tool that helps you use data to answer questions about your business. This book will give you a detailed introduction to using Metabase in your organization to get the most value from your data. You’ll start by installing and setting up Metabase on your local computer. You’ll then progress to handling the administration aspect of Metabase by learning how to configure and deploy Metabase, manage accounts, and execute administrative tasks such as adding users and creating permissions and metadata. Complete with examples and detailed instructions, this book shows you how to create different visualizations, charts, and dashboards to gain insights from your data. As you advance, you’ll learn how to share the results with peers in your organization and cover production-related aspects such as embedding Metabase and auditing performance. Throughout the book, you’ll explore the entire data analytics process—from connecting your data sources, visualizing data, and creating dashboards through to daily reporting. By the end of this book, you’ll be ready to implement Metabase as an integral tool in your organization. What you will learnExplore different types of databases and find out how to connect them to MetabaseDeploy and host Metabase securely using Amazon Web ServicesUse Metabase’s user interface to filter and aggregate data on single and multiple tablesBecome a Metabase admin by learning how to add users and create permissionsAnswer critical questions for your organization by using the Notebook editor and writing SQL queriesUse the search functionality to search through tables, dashboards, and metricsWho this book is for This book is for business analysts, data analysts, data scientists, and other professionals who want to become well-versed with business intelligence and analytics using Metabase. This book will also appeal to anyone who wants to understand their data to extract meaningful insights with the help of practical examples. A basic understanding of data handling and processing is necessary to get started with this book.
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
Open Source Data Warehousing And Business Intelligence
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Author : Lakshman Bulusu
language : en
Publisher: CRC Press
Release Date : 2012-08-06
Open Source Data Warehousing And Business Intelligence written by Lakshman Bulusu and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-08-06 with Computers categories.
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 &
Open Source Business Intelligence
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Author : Daniel Scheiner
language : de
Publisher: GRIN Verlag
Release Date : 2010-03-19
Open Source Business Intelligence written by Daniel Scheiner and has been published by GRIN Verlag this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-03-19 with Computers categories.
Projektarbeit aus dem Jahr 2008 im Fachbereich Informatik - Wirtschaftsinformatik, Note: 1,0, Hochschule für angewandte Wissenschaften Würzburg-Schweinfurt, Veranstaltung: Business Technologies, Sprache: Deutsch, Abstract: Bereits im April 2007 hat der weltweit zweitgrößte Softwarehersteller Oracle das US-Unternehmen Hyperion Solutions für rund 3,3 Milliarden Dollar übernommen. Im Oktober 2007 gab der weltweit drittgrößte Softwarehersteller SAP die freundliche Übernahme der französischen Firma Business Objects S.A. (BOBJ) mit einem Transaktionsvolumen von etwas mehr als 4,8 Milliarden Euro bekannt und Ende Januar 2008 wurde die Übernahme der kanadischen Firma Cognos durch IBM mit einem Volumen von 5 Milliarden US-Dollar abgeschlossen. Allen strategischen Zukäufen gemein ist dabei eine Position der jeweiligen erstandenen Firmen als führende Anbieter von Business Performance Management und Business Intelligence Lösungen . Die BI-Funktionalitäten wurden dabei in das jeweilige Gesamtangebot der Hersteller integriert. Es liegt daher nahe, aus diesen Angebotserweiterungen, eine gestiegene Bedeutung von BI und BPM als erfolgskritische Hilfsmittel für die Unternehmensführung abzuleiten. Angesichts solcher Transaktionsvolumen kann des weiteren von beachtlichen Gewinnerwartungen der Softwarehersteller ausgegangen werden, wobei es wahrscheinlich ist, dass die Preisgestaltung der Lizenzen sowohl einen Teil der Kosten für die Marktkonsolidierung als auch die Erwartungen der Shareholder berücksichtigt. Aus diesem Grund können Kunden zusätzlich zu den Kosten der Implementierung und Konfiguration von BI-Applikationen auch nicht unerhebliche Lizenzgebühren erwarten. Nicht zuletzt deshalb hat die zunehmende Konzentration auf Open Source Software (OSS) den etablierten BI-Markt erreicht. Da einige Organisationen versuchen, die Kosten ihrer bisweilen umfangreichen BI-Entwicklungen zu reduzieren, hoffen sie darauf, dass OSS ihnen eine größere Hebelwirkung für ihr Geld ermöglicht. Andere Open Source BI-Entwicklungen werden durch Anwendungsentwickler initiiert, die nach einer Möglichkeit suchen, BI-Funktionalitäten in ihre Programme zu integrieren. Ebenso können es sich Unternehmen aufgrund überzogen hoher Lizenzkosten oft nicht leisten BI-Technologien – selbst von ihrem bevorzugten Anbieter – in eigene Produkte integriert auf den Markt zu bringen und erwägen deshalb den Einsatz einer Open Source Lösung als Ergänzung der gegenwärtigen Infrastruktur. Diese Gesamtsituation war der Anlass dafür, in dieser Projektarbeit Alternativen – namentlich Open Source BI-Lösungen – vorzustellen und zu vergleichen.
Fundamentals Of Business Intelligence
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Author : Wilfried Grossmann
language : en
Publisher: Springer
Release Date : 2015-06-02
Fundamentals Of Business Intelligence written by Wilfried Grossmann and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-06-02 with Computers categories.
This book presents a comprehensive and systematic introduction to transforming process-oriented data into information about the underlying business process, which is essential for all kinds of decision-making. To that end, the authors develop step-by-step models and analytical tools for obtaining high-quality data structured in such a way that complex analytical tools can be applied. The main emphasis is on process mining and data mining techniques and the combination of these methods for process-oriented data. After a general introduction to the business intelligence (BI) process and its constituent tasks in chapter 1, chapter 2 discusses different approaches to modeling in BI applications. Chapter 3 is an overview and provides details of data provisioning, including a section on big data. Chapter 4 tackles data description, visualization, and reporting. Chapter 5 introduces data mining techniques for cross-sectional data. Different techniques for the analysis of temporal data are then detailed in Chapter 6. Subsequently, chapter 7 explains techniques for the analysis of process data, followed by the introduction of analysis techniques for multiple BI perspectives in chapter 8. The book closes with a summary and discussion in chapter 9. Throughout the book, (mostly open source) tools are recommended, described and applied; a more detailed survey on tools can be found in the appendix, and a detailed code for the solutions together with instructions on how to install the software used can be found on the accompanying website. Also, all concepts presented are illustrated and selected examples and exercises are provided. The book is suitable for graduate students in computer science, and the dedicated website with examples and solutions makes the book ideal as a textbook for a first course in business intelligence in computer science or business information systems. Additionally, practitioners and industrial developers who are interested in the concepts behind business intelligence will benefit from the clear explanations and many examples.
Open Source Business Intelligence
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Author : Uwe Haneke
language : de
Publisher:
Release Date : 2010
Open Source Business Intelligence written by Uwe Haneke and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with categories.
Free And Open Source Software In Modern Data Science And Business Intelligence Emerging Research And Opportunities
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Author : Srinivasa, K.G.
language : en
Publisher: IGI Global
Release Date : 2017-12-15
Free And Open Source Software In Modern Data Science And Business Intelligence Emerging Research And Opportunities written by Srinivasa, K.G. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-12-15 with Computers categories.
Computer software and technologies are advancing at an amazing rate. The accessibility of these software sources allows for a wider power among common users as well as rapid advancement in program development and operating information. Free and Open Source Software in Modern Data Science and Business Intelligence: Emerging Research and Opportunities is a critical scholarly resource that examines the differences between the two types of software, integral in the FOSS movement, and their effect on the distribution and use of software. Featuring coverage on a wide range of topics, such as FOSS Ecology, graph mining, and project tasks, this book is geared towards academicians, researchers, and students interested in current research on the growing importance of FOSS and its expanding reach in IT infrastructure.