Learn Business Intelligence Markup Language (Biml) for automating much of the repetitive, manual labor involved in data integration. We teach you how to build frameworks and use advanced Biml features to get more out of SQL Server Integration Services (SSIS), Transact-SQL (T-SQL), and SQL Server Analysis Services (SSAS) than you ever thought possible. The first part of the book starts with the basics—getting your development environment configured, Biml syntax, and scripting essentials. Whether a beginner or a seasoned Biml expert, the next part of the book guides you through the process of using Biml to build a framework that captures both your design patterns and execution management. Design patterns are reusable code blocks that standardize the approach you use to perform certain types of data integration, logging, and other key data functions. Design patterns solve common problems encountered when developing data integration solutions. Because you do not have to build the code from scratch each time, design patterns improve your efficiency as a Biml developer. In addition to leveraging design patterns in your framework, you will learn how to build a robust metadata store and how to package your framework into Biml bundles for deployment within your enterprise. In the last part of the book, we teach you more advanced Biml features and capabilities, such as SSAS development, T-SQL recipes, documentation autogeneration, and Biml troubleshooting. The Biml Book: Provides practical and applicable examples Teaches you how to use Biml to reduce development time while improving quality Takes you through solutions to common data integration and BI challenges What You'll Learn Master the basics of Business Intelligence Markup Language (Biml) Study patterns for automating SSIS package generation Build a Biml Framework Import and transform database schemas Automate generation of scripts and projects Who This Book Is For BI developers wishing to quickly locate previously tested solutions, Microsoft BI specialists, those seeking more information about solution automation and code generation, and practitioners of Data Integration Lifecycle Management (DILM) in the DevOps enterprise

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.

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

This book, "Oracle Business Intelligence Enterprise Edition 12c," is a comprehensive guide to understanding and implementing Oracle's powerful business intelligence tools. Throughout its chapters, readers will learn how to install, configure, and utilize OBIEE 12c to transform organizational data into actionable insights through reports, dashboards, and advanced analytics. What this Book will help me do Install and configure Oracle BI 12c, preparing the essential software and database infrastructure. Create and manage the repository connecting your data to the OBIEE front end for detailed analysis. Develop interactive dashboards and analyses that derive actionable meaning from data. Design pixel-perfect reports using BI Publisher to cater to organizational reporting needs. Set up agents and workflows to provide actionable insights and improve decision-making processes. Author(s) The authors, None Ward and None Khan, are seasoned experts in Oracle Business Intelligence with years of experience implementing and managing OBIEE systems across various industries. Their approach combines succinct practical tutorials with insights gained from real-world projects, making technical concepts accessible and actionable. Who is it for? This book is perfect for IT consultants, data scientists, project managers, and business analysts involved in data-driven decision-making. Beginners to OBIEE but with a basic understanding of databases will find this guide invaluable for starting their BI journey. Professionals already familiar with other BI tools can also benefit from a detailed exploration of OBIEE's features.

Effective Business Intelligence with QuickSight introduces you to Amazon QuickSight, a modern BI tool that enables interactive visualizations powered by the cloud. With comprehensive tutorials, you'll master how to load, prepare, and visualize your data for actionable insights. This book provides real-world examples to showcase how QuickSight integrates into the AWS ecosystem. What this Book will help me do Understand how to effectively use Amazon QuickSight for business intelligence. Learn how to connect QuickSight to data sources like S3, RDS, and more. Create interactive dashboards and visualizations with QuickSight tools. Gain expertise in managing users, permissions, and data security in QuickSight. Execute a real-world big data project using AWS Data Lakes and QuickSight. Author(s) None Nadipalli is a seasoned data architect with extensive experience in cloud computing and business intelligence. With expertise in the AWS ecosystem, she has worked on numerous large-scale data analytics projects. Her writing focuses on providing practical knowledge through easy-to-follow examples and actionable insights. Who is it for? This book is ideal for business intelligence architects, developers, and IT executives seeking to leverage Amazon QuickSight. It is suited for readers with foundational knowledge of AWS who want to enhance their capabilities in BI and data visualization. If your goal is to modernize your business intelligence systems and explore advanced analytics, this book is perfect for you.

Master the art of business intelligence in just a few steps with this hands-on guide. By following the detailed examples and techniques in this book, you'll learn to create effective BI solutions that analyze data for strategic decision-making. You'll explore tools like D3.js, R, Tableau, QlikView, and Python to visualize data and gain actionable insights. What this Book will help me do Develop the ability to create self-service reporting environments for business analytics. Understand and apply SQL techniques to aggregate and manipulate data effectively. Design and implement data models suitable for analytical and reporting purposes. Connect data warehouses with advanced BI tools to streamline reporting processes. Analyze and visualize data using industry-leading tools like D3.js, R, Tableau, and Python. Author(s) Written by seasoned experts in data analytics and business intelligence, the authors bring years of industry experience and practical insights to this well-rounded guide. They specialize in turning complex data into manageable, insightful BI solutions. Their writing style is approachable yet detailed, ensuring you gain both foundational and advanced knowledge in a structured way. Who is it for? This book caters to data enthusiasts and professionals in roles such as data analysis, BI development, or data management. It's perfect for beginners seeking practical BI skills, as well as experienced developers looking to integrate and implement sophisticated BI tools. The focus is on actionable insights, making it ideal for anyone aiming to leverage data for business growth.

Tableau 10 Business Intelligence Cookbook is your comprehensive guide to mastering data analysis and visualization using Tableau 10. You will gain confidence in creating powerful, interactive dashboards and visualizations that not only look great but also help convey critical insights effectively. What this Book will help me do Create and customize effective charts including bar charts, line graphs, and scatter plots. Build interactive dashboards that combine visualizations into cohesive data presentations. Leverage Tableau's calculated fields and parameters to implement advanced data transformations. Prepare and clean your data for analysis using built-in Tableau tools to ensure accuracy. Utilize geospatial and mapping features to visualize geographic and location-based data effectively. Author(s) Donabel Santos is an experienced data specialist and Tableau expert with a passion for teaching data visualization techniques. Paul Banoub, a seasoned business intelligence professional, brings practical insights into crafting effective data strategies using Tableau. Together, they create a book that empowers professionals to realize their data visualization goals. Who is it for? This book is ideal for business professionals, data analysts, and technology experts looking to enhance their Tableau skills. Beginners will find the recipes approachable thanks to the step-by-step guidance, while more advanced users will appreciate the depth of techniques covered. Whether you analyze data for business intelligence or strategic planning, this book will provide tools to expand your capabilities.

Distribute Actionable, Timely BI with Microsoft® SQL Server® 2016 and Power BI Drive better, faster, more informed decision making across your organization using the expert tips and best practices featured in this hands-on guide. Delivering Business Intelligence with Microsoft SQL Server 2016, Fourth Edition, shows, step-by-step, how to distribute high-performance, custom analytics to users enterprise-wide. Discover how to build BI Semantic Models, create data marts and OLAP cubes, write MDX and DAX scripts, and share insights using Microsoft client tools. The book includes coverage of self-service business intelligence with Power BI. • Understand the goals and components of successful BI • Build data marts, OLAP cubes, and Tabular models • Load and cleanse data with SQL Server Integration Services • Manipulate and analyze data using MDX and DAX scripts and queries • Work with SQL Server Analysis Services and the BI Semantic Model • Author interactive reports using SQL Server Data Tools • Create KPIs and digital dashboards • Implement time-based analytics • Embed data model content in custom applications using ADOMD.NET • Use Power BI to gather, model, and visualize data in a self-service environment

Master the essentials of using R for Business Intelligence in this practical guide. Through real-world use cases, learn to manipulate data, build predictive models, and create interactive dashboards to communicate insights effectively. What this Book will help me do Extract, clean, and analyze complex datasets for business applications. Perform advanced statistical and machine learning techniques like predictive modeling and clustering. Gain proficiency in creating interactive dashboards using R and the Shiny package. Develop real-world analytics skills that enhance decision-making processes. Integrate Business Intelligence workflows using R for operations, marketing, and finance domains. Author(s) None Gendron is an expert in data science and business analytics, passionate about teaching professionals to make data-driven decisions. With extensive experience in R programming, None has a knack for breaking down complex topics into easily digestible knowledge. Their practical approach ensures readers not only understand but can directly apply the concepts. Who is it for? This book is ideal for data analysts, business professionals, and entry-level data scientists looking to enhance their analytical skills. If you're familiar with basic R programming and aspire to derive actionable insights from data in the business context, this is the resource for you. It will also resonate with those in operations, marketing, or finance seeking to integrate data analysis into their decision-making.

Mastering Business Intelligence with MicroStrategy offers a thorough walkthrough of implementing enterprise business intelligence solutions using MicroStrategy 10. In this book, you'll learn how to design comprehensive dashboards, analyze data efficiently, and enhance user experiences with modern BI tools. What this Book will help me do Learn to utilize MicroStrategy's advanced BI capabilities, including dashboards and predictive analytics, to enhance business insights. Develop mobile-responsive analytics dashboards to deliver critical data effectively wherever needed. Explore integration techniques to connect MicroStrategy with other data sources like Hadoop and third-party mapping tools. Master visualization techniques such as charts and geospatial mapping to present data insights compellingly. Gain technical expertise in managing, administering, and troubleshooting MicroStrategy systems to maintain robust BI operations. Author(s) The authors Dmitry Anoshin, None Rana, None Ma, and Neil Mehta bring years of expertise in business intelligence and analytics. With backgrounds working in leading technology solutions and BI projects, they aim to share actionable, real-world insights based on their experiences. Who is it for? This book is perfect for BI developers, analytics managers, and business analysts who use MicroStrategy and wish to deepen their proficiency. It provides value for readers migrating from MicroStrategy 9 to 10 and for those seeking to leverage advanced BI functionalities. If you are keen on unlocking the full potential of BI tools for your organization, this book is for you.

Aligning your business intelligence (BI) infrastructure with your strategy process can help to enhance your organization's responsiveness to changing environments and create added value for investments in BI infrastructure and development. This book explains how to use business intelligence to improve your analysis activities and provides a framework for developing data models and solutions that fit your organization's strategy. Offering the concepts, tools, and background required for success, the book details the infrastructure required for carrying out successful business intelligence activities.

Business Intelligence Strategy and Big Data Analytics is written for business leaders, managers, and analysts - people who are involved with advancing the use of BI at their companies or who need to better understand what BI is and how it can be used to improve profitability. It is written from a general management perspective, and it draws on observations at 12 companies whose annual revenues range between $500 million and $20 billion. Over the past 15 years, my company has formulated vendor-neutral business-focused BI strategies and program execution plans in collaboration with manufacturers, distributors, retailers, logistics companies, insurers, investment companies, credit unions, and utilities, among others. It is through these experiences that we have validated business-driven BI strategy formulation methods and identified common enterprise BI program execution challenges. In recent years, terms like “big data” and “big data analytics” have been introduced into the business and technical lexicon. Upon close examination, the newer terminology is about the same thing that BI has always been about: analyzing the vast amounts of data that companies generate and/or purchase in the course of business as a means of improving profitability and competitiveness. Accordingly, we will use the terms BI and business intelligence throughout the book, and we will discuss the newer concepts like big data as appropriate. More broadly, the goal of this book is to share methods and observations that will help companies achieve BI success and thereby increase revenues, reduce costs, or both. Provides ideas for improving the business performance of one’s company or business functions Emphasizes proven, practical, step-by-step methods that readers can readily apply in their companies Includes exercises and case studies with road-tested advice about formulating BI strategies and program plans

This comprehensive and authoritative guide will teach you the DAX language for business intelligence, data modeling, and analytics. Leading Microsoft BI consultants Marco Russo and Alberto Ferrari help you master everything from table functions through advanced code and model optimization. You’ll learn exactly what happens under the hood when you run a DAX expression, how DAX behaves differently from other languages, and how to use this knowledge to write fast, robust code. If you want to leverage all of DAX’s remarkable power and flexibility, this no-compromise “deep dive” is exactly what you need. Perform powerful data analysis with DAX for Microsoft SQL Server Analysis Services, Excel, and Power BI Master core DAX concepts, including calculated columns, measures, and error handling Understand evaluation contexts and the CALCULATE and CALCULATETABLE functions Perform time-based calculations: YTD, MTD, previous year, working days, and more Work with expanded tables, complex functions, and elaborate DAX expressions Perform calculations over hierarchies, including parent/child hierarchies Use DAX to express diverse and unusual relationships Measure DAX query performance with SQL Server Profiler and DAX Studio

Leverage the integration of SQL Server and Office for more effective BI Applied Microsoft Business Intelligence shows you how to leverage the complete set of Microsoft tools—including Microsoft Office and SQL Server—to better analyze business data. This book provides best practices for building complete BI solutions using the full Microsoft toolset. You will learn how to effectively use SQL Server Analysis and Reporting Services, along with Excel, SharePoint, and other tools to provide effective and cohesive solutions for the enterprise. Coverage includes BI architecture, data queries, semantic models, multidimensional modeling, data analysis and visualization, performance monitoring, data mining, and more, to help you learn to perform practical business analysis and reporting. Written by an author team that includes a key member of the BI product team at Microsoft, this useful reference provides expert instruction for more effective use of the Microsoft BI toolset. Use Microsoft BI suite cohesively for more effective enterprise solutions Search, analyze, and visualize data more efficiently and completely Develop flexible and scalable tabular and multidimensional models Monitor performance, build a BI portal, and deploy and manage the BI Solution

Business Intelligence with SQL Server Reporting Services helps you deliver business intelligence with panache. Harness the power of the Reporting Services toolkit to combine charts, gauges, sparklines, indicators, and maps into compelling dashboards and scorecards. Create compelling visualizations that seize your audience’s attention and help business users identify and react swiftly to changing business conditions. Best of all, you'll do all these things by creating new value from software that is already installed and paid for – SQL Server and the included SQL Server Reporting Services. Businesses run on numbers, and good business intelligence systems make the critical numbers immediately and conveniently accessible. Business users want access to key performance indicators in the office, at the beach, and while riding the subway home after a day's work. Business Intelligence with SQL Server Reporting Services helps you meet these need for anywhere/anytime access by including chapters specifically showing how to deliver on modern devices such as smart phones and tablets. You'll learn to deliver the same information, with similar look-and-feel, across the entire range of devices used in business today. Key performance indicators give fast notification of business unit performance Polished dashboards deliver essential metrics and strategic comparisons Visually arresting output on multiple devices focuses attention

“This book is a splendid and valuable addition to this subject. The whole book is well written and I have no hesitation to recommend that this can be adapted as a textbook for graduate courses in Business Intelligence and Data Mining.” Dr. Edi Shivaji, Des Moines, Iowa “As a complete novice to this area just starting out on a MBA course I found the book incredibly useful and very easy to follow and understand. The concepts are clearly explained and make it an easy task to gain an understanding of the subject matter.” -- Mr. Craig Domoney, South Africa. Business Intelligence and Data Mining is a conversational and informative book in the exploding area of Business Analytics. Using this book, one can easily gain the intuition about the area, along with a solid toolset of major data mining techniques and platforms. This book can thus be gainfully used as a textbook for a college course. It is also short and accessible enough for a busy executive to become a quasi-expert in this area in a couple of hours. Every chapter begins with a case-let from the real world, and ends with a case study that runs across the chapters.

Corporations and governmental agencies of all sizes are embracing a new generation of enterprise-scale business intelligence (BI) and data warehousing (DW), and very often appoint a single senior-level individual to serve as the Enterprise BI/DW Program Manager. This book is the essential guide to the incremental and iterative build-out of a successful enterprise-scale BI/DW program comprised of multiple underlying projects, and what the Enterprise Program Manager must successfully accomplish to orchestrate the many moving parts in the quest for true enterprise-scale business intelligence and data warehousing. Author Alan Simon has served as an enterprise business intelligence and data warehousing program management advisor to many of his clients, and spent an entire year with a single client as the adjunct consulting director for a $10 million enterprise data warehousing (EDW) initiative. He brings a wealth of knowledge about best practices, risk management, organizational culture alignment, and other Critical Success Factors (CSFs) to the discipline of enterprise-scale business intelligence and data warehousing.

I highly recommend that you look at your organization through the lens of The Four Intelligences of the Business Mind. If you do so, your business will improve in unexpected ways." —Mark Waldman, Executive MBA Faculty, Loyola Marymount University "A new pragmatic synthesis of organizational psychology, business analytics, and multiple intelligences theory, The Four Intelligences of the Business Mind uses a revolutionary four-quadrant-based approach to teach you how to retrain your brain to optimize and transform your business. Valeh Nazemoff has written an excellent book with a commonsense approach and clear guidance." —Shaun Khalfan, Chief of Cyber Infrastructure, Department of the Navy The Four Intelligences of the Business Mind lays out a scheme of four discrete but interlocking types of intelligence essential to business success. These intelligences are scalable and transferable from the individual leader to the organizational ecosystem. This short book teaches executives first to analyze and train their own brains in these four intelligences; then to transform their organizations by applying their sharpened quadruplex intelligence to their business analyses and decisions; and finally to train and incentivize their companies to map onto a collective organizational scale the mental transformation modeled by the "mastermind" leader. The four essential business intelligences identified by IT executive and organizational psychologist Valeh Nazemoff are financial intelligence, customer intelligence, data intelligence, and mastermind intelligence. Financial intelligence informs your ability to reinvest and regrow your business boldly but prudently in the light of predictive, risk, and business analytics. Customer intelligence informs your ability to rethink your approaches to attracting and keeping customers using customer, web, mobile, social, big data, and behavioral analytics. Data intelligence informs your ability to reinvent and recreate information in automated graphical representations to enable rapid decision-making using visual, cloud, web, and operational analytics, AI, and distance collaboration platforms. Finally, mastermind intelligence involves your ability through leadership and team exercises to impart to your employees and organization the same transformative honing and integration of business intelligences as you have undergone yourself. "Practical, relevant, insightful, engaging, and a pleasant read, The Four Intelligences of the Business Mind puts human decision making into a whole new light, revealing practical steps that will allow you to reinvent your business and customer relationships!" —James Brady, PhD, FHIMSS, Chief Information Officer, Kaiser Permanente Orange County "An invaluable book that shows you how to harness the inevitable transformations in business by understanding your mind better." —Alan Komet, Vice President, Global Sales Operations, FalconStor Software, Inc. "A must-read book for every business person." —Chuck Corjay, Ret. Chairman, AFCEA International "Valeh Nazemoff has written an intelligent, thoughtful book full of insight and practical advice. The Four Intelligences of the Business Mind reframes the way our minds work, and in doing so transforms how we drive business forward. This book is a must-read!" —Joe DiStefano, Senior Vice President and Market Executive, Cardinal Bank

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.

Nearly every large corporation and governmental agency is taking a fresh look at their current enterprise-scale business intelligence (BI) and data warehousing implementations at the dawn of the "Big Data Era"…and most see a critical need to revitalize their current capabilities. Whether they find the frustrating and business-impeding continuation of a long-standing "silos of data" problem, or an over-reliance on static production reports at the expense of predictive analytics and other true business intelligence capabilities, or a lack of progress in achieving the long-sought-after enterprise-wide "single version of the truth" – or all of the above – IT Directors, strategists, and architects find that they need to go back to the drawing board and produce a brand new BI/data warehousing roadmap to help move their enterprises from their current state to one where the promises of emerging technologies and a generation’s worth of best practices can finally deliver high-impact, architecturally evolvable enterprise-scale business intelligence and data warehousing. Author Alan Simon, whose BI and data warehousing experience dates back to the late 1970s and who has personally delivered or led more than thirty enterprise-wide BI/data warehousing roadmap engagements since the mid-1990s, details a comprehensive step-by-step approach to building a best practices-driven, multi-year roadmap in the quest for architecturally evolvable BI and data warehousing at the enterprise scale. Simon addresses the triad of technology, work processes, and organizational/human factors considerations in a manner that blends the visionary and the pragmatic. Takes a fresh look at true enterprise-scale BI/DW in the "Dawn of the Big Data Era" Details a checklist-based approach to surveying one’s current state and identifying which components are enterprise-ready and which ones are impeding the key objectives of enterprise-scale BI/DW Provides an approach for how to analyze and test-bed emerging technologies and architectures and then figure out how to include the relevant ones in the roadmaps that will be developed Presents a tried-and-true methodology for building a phased, incremental, and iterative enterprise BI/DW roadmap that is closely aligned with an organization’s business imperatives, organizational culture, and other considerations