Unlock your potential and lead the future with this essential guide to thriving, creating, and innovating with confidence in the age of intelligence. Embark on a transformative journey with Becoming An AI Orchestrator: A Business Professional's Guide to Leading, Creating, and Thriving in the Age of Intelligence. This book is your essential guide to navigating the age of intelligence, where technology and creativity converge. Whether you're a creator, knowledge worker, or leader, you'll find invaluable insights and practical advice to help you thrive in this new era. From understanding the forces that have shaped our technological landscape to embracing the opportunities and challenges of AI, this book empowers you to lead, create, and innovate with confidence. Discover the power of AI and unlock your potential. Through engaging stories and expert guidance, you'll learn how to harness AI to enhance your work and life. This book is not just about technology; it's about empowering you to bring your visions to life and make a meaningful impact. With a focus on creativity, adaptability, and collaboration, Becoming An AI Orchestrator is your roadmap to success in a rapidly evolving world. Join the ranks of those who are not just adapting to change but leading it.

Discover the power of Looker for Business Intelligence and data visualization in this comprehensive cookbook. This book serves as your guide to mastering Looker's tools and features, enabling you to transform data into actionable insights. What this Book will help me do Understand Looker's key components, including LookML and dashboards. Explore advanced Looker capabilities, including data modeling and interactivity. Create dynamic dashboards to monitor and present critical metrics effectively. Integrate Looker with additional tools and systems to extend its capabilities. Leverage Looker's tools for fostering data-driven decision-making within your team. Author(s) Khrystyna Grynko is a seasoned data professional with extensive experience in Business Intelligence and analytics. She brings practical insights into how to effectively utilize Looker for real-world applications. Khrystyna is known for her clear, instructional writing style that makes complex topics approachable. Who is it for? This book is an essential resource for business analysts, data analysts, or BI developers looking to expand their expertise in Looker. Suitable for readers with a basic understanding of business intelligence concepts. Ideal for professionals who aim to leverage Looker for creating insightful and interactive data applications to inform business strategy.

This book is a valuable resource for academics, researchers, professionals, and policymakers who are interested in understanding the potential of AI in the business world. The contributions from leading experts and researchers provide a comprehensive overview of AI in business applications, and how it is transforming different sectors.

Embark on your business intelligence career with 'Business Intelligence Career Master Plan'. This book provides you with a clear roadmap, actionable insights, and expert advice to help you navigate the challenges of building a successful career in BI. You'll learn everything from identifying your starting point in BI to developing critical skills in data analysis, visualization, and management. What this Book will help me do Understand various business intelligence roles and their responsibilities to find your ideal BI career path. Develop expertise in using tools like Power BI and databases like AdventureWorks to handle and analyze data effectively. Master the art of creating informative and compelling data visualizations to tell impactful data stories. Gain the technical skills needed for programming and system development to excel in the BI field. Learn how to automate and optimize BI workflows to enhance productivity and efficiency. Author(s) The authors, None Chavez and None Moncada, excel in mentoring aspiring business intelligence professionals. With vast experience in BI systems and project management, they aim to make technical concepts accessible and fascinating. Their hands-on guidance empowers readers to build essential skills and thrive in the BI field. Who is it for? This book is ideal for aspiring business intelligence developers and data analysts eager to advance their careers. If you're passionate about data and enjoy solving complex problems, this resource will equip you with the knowledge and tools to succeed. Starting with a foundational understanding of common tools like Excel and SQL is recommended to get the most out of this book.

Business Analytics, is driven by an increasing demand from the real world. This book reviews advances in data analytics and business intelligence that assists industries in problem-solving exercises, with a view to driving competitive advantage.

Use business intelligence to power corporate growth, increase efficiency, and improve corporate decision making. With this practical book featuring hands-on examples in Power BI with basic Python and R code, you'll explore the most relevant AI use cases for BI, including improved forecasting, automated classification, and AI-powered recommendations. And you'll learn how to draw insights from unstructured data sources like text, document, and image files. Author Tobias Zwingmann helps BI professionals, business analysts, and data analytics understand high-impact areas of artificial intelligence. You'll learn how to leverage popular AI-as-a-service and AutoML platforms to ship enterprise-grade proofs of concept without the help of software engineers or data scientists. Learn how AI can generate business impact in BI environments Use AutoML for automated classification and improved forecasting Implement recommendation services to support decision-making Draw insights from text data at scale with NLP services Extract information from documents and images with computer vision services Build interactive user frontends for AI-powered dashboard prototypes Implement an end-to-end case study for building an AI-powered customer analytics dashboard

Artificial intelligence can yield powerful results when applied to business intelligence. Whether it’s pattern recognition in words, numbers, and big datasets or optimizing processes and expediting outcomes, AI is becoming a critical business component. In this report, Michael Norris from IBM explains how to drive AI adoption in your company. What does it mean to infuse AI into BI? It means business users can discover actionable, easy-to-understand insights on their own, independently from IT—even while remaining within the organization’s secure and governed IT architecture. Explore how AI in BI helps you to "get to the why" when analyzing and optimizing the insights you discover. Learn how AI-infused business intelligence: Enables line-of-business users to easily discover data-driven insights without requiring specialized data science expertise Allows users to ask questions in plain language with intuitive exploration tools to gain deeper insight into their data Provides recommended visualizations and dashboards to present compelling, concise, and explainable data Prepares datasets for analysis to free up IT analysts and line-of-business users

Hands-On Business Intelligence with DAX is your comprehensive guide to mastering DAX (Data Analysis Expressions) within the context of Power BI, Excel Power Pivot, and more. You will learn how to craft powerful DAX queries, build efficient data models, and gain actionable insights from your data. What this Book will help me do Gain a comprehensive understanding of DAX query language and its applications. Learn the skills to create and optimize data models using real-world examples. Master the techniques needed to write advanced DAX expressions with confidence. Understand key DAX functions for complex data aggregation and calculations. Develop expertise in using DAX to derive deeper insights from diverse datasets. Author(s) None Horne is an experienced data professional passionate about teaching DAX and data modeling concepts in easy and approachable ways. With years of experience in business intelligence and a knack for breaking down complex topics, None Horne equips you with knowledge you can apply immediately. Who is it for? This book is ideal for business intelligence analysts, data professionals, and Power BI users who wish to enhance their DAX expertise. It is well-suited for readers with a basic understanding of BI concepts looking to expand their skills. Pragmatic learners looking to apply DAX to solve data problems will find this book highly practical. If you are keen to develop more efficient workflows and deeper data insights, this book fits your needs.

Learn the intricate workings of DAX and the mechanics that are necessary to solve advanced Power BI challenges. This book is all about DAX (Data Analysis Expressions), the formula language used in Power BI—Microsoft’s leading self-service business intelligence application—and covers other products such as PowerPivot and SQL Server Analysis Services Tabular. You will learn how to leverage the advanced applications of DAX to solve complex tasks. Often a task seems complex due to a lack of understanding, or a misunderstanding of core principles, and how certain components interact with each other. The authors of this book use solutions and examples to teach you how to solve complex problems. They explain the intricate workings of important concepts such as Filter Context and Context Transition. You will learn how Power BI, through combining DAX building blocks (such as measures, table filtering, and data lineage), can yield extraordinary analytical power. Throughout Pro Dax with Power BI these building blocks are used to create and compose solutions for advanced DAX problems, so you can independently build solutions to your own complex problems, and gain valuable insight from your data. What You Will Learn Understand the intricate workings of DAX to solve advanced problems Deconstruct problems into manageable parts in order to create your own recipes Apply predefined solutions for addressing problems, and link back step-by-step to the mechanics of DAX, to know the foundation of this powerful query language Get fully on board with DAX, a new and evolving language, by learning best practices Who This Book Is For Anyone who wants to use Power BI to build advanced and complex models. Some experience writing DAX is helpful, but not essential if you have experience with other data query languages such as MDX or SQL.

"Hands-On Business Intelligence with Qlik Sense" teaches you how to harness the powerful capabilities of Qlik Sense to build dynamic, interactive dashboards and analyze data effectively. This book provides comprehensive guidance, from data modeling to creating visualizations, geospatial analysis, forecasting, and sharing insights across your organization. What this Book will help me do Understand the core concepts of Qlik Sense for building business intelligence dashboards. Master the process of loading, reshaping, and modeling data for analysis and reporting. Create impactful visual representations of data using Qlik Sense visualization tools. Leverage advanced analytics techniques, including Python and R integration, for deeper insights. Utilize Qlik Sense GeoAnalytics to perform geospatial analysis and produce location-based insights. Author(s) The authors of "Hands-On Business Intelligence with Qlik Sense" are experts in Qlik Sense and data analysis. They collectively bring decades of experience in business intelligence development and implementation. Their practical approach ensures that readers not only learn the theory but can also apply the techniques in real-world scenarios. Who is it for? This book is designed for business intelligence developers, data analysts, and anyone interested in exploring Qlik Sense for their data analysis tasks. If you're aiming to start with Qlik Sense and want a practical and hands-on guide, this book is ideal. No prior experience with Qlik Sense is necessary, but familiarity with data analysis concepts is helpful.

Attention all SQL Pros, DAX is not just for writing Excel-based formulas! Get hands-on learning and expert advice on how to use the vast capabilities of the DAX language to solve common data modeling challenges. Beginning DAX with Power BI teaches key concepts such as mapping techniques from SQL to DAX, filtering, grouping, joining, pivoting, and using temporary tables, all aimed at the SQL professional. Join author Philip Seamark as he guides you on a journey through typical business data transformation scenarios and challenges, and teaches you, step-by-step, how to resolve challenges using DAX. Tips, tricks, and shortcuts are included and explained, along with examples of the SQL equivalent, in order to accelerate learning. Examples in the book range from beginner to advanced, with plenty of detailed explanation when walking through each scenario. What You’ll Learn Turbocharge your Power BI model by adding advanced DAX programming techniques Know when to use calculated measures versus calculated columns Generate new tables on the fly from existing data Optimize, monitor, and tune Power BI to improve performance of your models Discover new ideas, tricks, and time-saving techniques for better models Who This Book Is For Business intelligence developers, business analysts, or any SQL user who wants to use Power BI as a reporting tool. A solid understanding of SQL is recommended, as examples throughout the book include the DAX equivalents to SQL problem/solution scenarios.

Use machine learning and Oracle Business Intelligence Enterprise Edition (OBIEE) as a comprehensive BI solution. This book follows a when-to, why-to, and how-to approach to explain the key steps involved in utilizing the artificial intelligence components now available for a successful OBIEE implementation. Oracle Business Intelligence with Machine Learning covers various technologies including using Oracle OBIEE, R Enterprise, Spatial Maps, and machine learning for advanced visualization and analytics. The machine learning material focuses on learning representations of input data suitable for a given prediction problem. This book focuses on the practical aspects of implementing machine learning solutions using the rich Oracle BI ecosystem. The primary objective of this book is to bridge the gap between the academic state-of-the-art and the industry state-of-the-practice by introducing you to machine learning with OBIEE. What You Will Learn See machine learning in OBIEE Master the fundamentals of machine learning and how it pertains to BI and advanced analytics Gain an introduction to Oracle R Enterprise Discover the practical considerations of implementing machine learning with OBIEE Who This Book Is For Analytics managers, BI architects and developers, and data scientists.

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.

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.