Open Source Business Intelligence
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📒Open Source Business Intelligence ✍ Nils Clausen
✏Open Source Business Intelligence Book Summary : 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.
📒Open Source Data Warehousing And Business Intelligence ✍ Lakshman Bulusu
✏Open Source Data Warehousing and Business Intelligence Book Summary : 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 &
📒Using Open Source Platforms For Business Intelligence ✍ Lyndsay Wise
✏Using Open Source Platforms for Business Intelligence Book Summary : 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. 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
📒Open Source Business Intelligence Systems ✍ Ishmael Obonyo
✏Open Source Business Intelligence Systems Book Summary :
📒Fundamentals Of Business Intelligence ✍ Wilfried Grossmann
✏Fundamentals of Business Intelligence Book Summary : 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.
✏Free and Open Source Software in Modern Data Science and Business Intelligence Emerging Research and Opportunities Book Summary : 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.
📒Pentaho Solutions ✍ Roland Bouman
✏Pentaho Solutions Book Summary : Your all-in-one resource for using Pentaho with MySQL forBusiness Intelligence and Data Warehousing Open-source Pentaho provides business intelligence (BI) and datawarehousing solutions at a fraction of the cost of proprietarysolutions. Now you can take advantage of Pentaho for your businessneeds with this practical guide written by two major participantsin the Pentaho community. The book covers all components of the Pentaho BI Suite. You'lllearn to install, use, and maintain Pentaho-and find plenty ofbackground discussion that will bring you thoroughly up to speed onBI and Pentaho concepts. Of all available open source BI products, Pentaho offers themost comprehensive toolset and is the fastest growing open sourceproduct suite Explains how to build and load a data warehouse with PentahoKettle for data integration/ETL, manually create JFree (pentahoreporting services) reports using direct SQL queries, and createMondrian (Pentaho analysis services) cubes and attach them to aJPivot cube browser Review deploying reports, cubes and metadata to the Pentahoplatform in order to distribute BI solutions to end-users Shows how to set up scheduling, subscription and automaticdistribution The companion Web site provides complete source code examples,sample data, and links to related resources.
📒Practical Data Analysis And Reporting With Birt ✍ John Ward
✏Practical Data Analysis and Reporting with BIRT Book Summary : This book is a concise and practical guide aimed at getting the results you want as quickly as possible. It steers the reader through each point of reporting from setup, to scripting, designing, formatting, and deploying BIRT reports using a common example that runs through the book. This book is for Java developers who want to create rich reports and get started with BIRT to do this. Readers will need a basic understanding of SQL to follow along.
📒Business Intelligence Tools For Small Companies ✍ Albert Nogués
✏Business Intelligence Tools for Small Companies Book Summary : 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 Software A Complete Guide 2020 Edition ✍ Gerardus Blokdyk
✏Business Intelligence Software A Complete Guide 2020 Edition Book Summary : Can someone recommend an entry level freemium based business intelligence software? Why would someone pick one open source business intelligence software over the other and who are the leaders in the open source BI space and why? How do security definitions apply to report writers, particularly proposed third-party reporting/business intelligence software? Why should companies install business intelligence software? Does your organization utilize business intelligence software to augment system reporting? Defining, designing, creating, and implementing a process to solve a challenge or meet an objective is the most valuable role... In EVERY group, company, organization and department. Unless you are talking a one-time, single-use project, there should be a process. Whether that process is managed and implemented by humans, AI, or a combination of the two, it needs to be designed by someone with a complex enough perspective to ask the right questions. Someone capable of asking the right questions and step back and say, 'What are we really trying to accomplish here? And is there a different way to look at it?' This Self-Assessment empowers people to do just that - whether their title is entrepreneur, manager, consultant, (Vice-)President, CxO etc... - they are the people who rule the future. They are the person who asks the right questions to make Business Intelligence Software investments work better. This Business Intelligence Software All-Inclusive Self-Assessment enables You to be that person. All the tools you need to an in-depth Business Intelligence Software Self-Assessment. Featuring 958 new and updated case-based questions, organized into seven core areas of process design, this Self-Assessment will help you identify areas in which Business Intelligence Software improvements can be made. In using the questions you will be better able to: - diagnose Business Intelligence Software projects, initiatives, organizations, businesses and processes using accepted diagnostic standards and practices - implement evidence-based best practice strategies aligned with overall goals - integrate recent advances in Business Intelligence Software and process design strategies into practice according to best practice guidelines Using a Self-Assessment tool known as the Business Intelligence Software Scorecard, you will develop a clear picture of which Business Intelligence Software areas need attention. Your purchase includes access details to the Business Intelligence Software self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows your organization exactly what to do next. You will receive the following contents with New and Updated specific criteria: - The latest quick edition of the book in PDF - The latest complete edition of the book in PDF, which criteria correspond to the criteria in... - The Self-Assessment Excel Dashboard - Example pre-filled Self-Assessment Excel Dashboard to get familiar with results generation - In-depth and specific Business Intelligence Software Checklists - Project management checklists and templates to assist with implementation INCLUDES LIFETIME SELF ASSESSMENT UPDATES Every self assessment comes with Lifetime Updates and Lifetime Free Updated Books. Lifetime Updates is an industry-first feature which allows you to receive verified self assessment updates, ensuring you always have the most accurate information at your fingertips.