The convergence of Artif icial Intelligence (AI) and Internet of Things (IoT) is reshaping the way industries, businesses, and economies function; the 34 chapters in this collection show how the full potential of these technologies is being enabled to create intelligent machines that simulate smart behavior and support decision-making with little or no human interference, thereby providing startling organizational efficiencies. Readers will discover that in Reshaping Intelligent Business and Industry: The book unpacks the two superpowers of innovation, AI and IoT, and explains how they connect to better communicate and exchange information about online activities; How the center and the network's edge generate predictive analytics or anomaly alerts; The meaning of AI at the edge and IoT networks. How bandwidth is reduced and privacy and security are enhanced; How AI applications increase operating efficiency, spawn new products and services, and enhance risk management; How AI and IoT create 'intelligent' devices and how new AI technology enables IoT to reach its full potential; Analyzes AIOT platforms and the handling of personal information for shared frameworks that remain sensitive to customers’ privacy while effectively utilizing data. Audience This book will appeal to all business and organization leaders, entrepreneurs, policymakers, and economists, as well as scientists, engineers, and students working in artificial intelligence, software engineering, and information technology.

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.

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

"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.

This book is your practical guide to understanding and using the SAP BusinessObjects Business Intelligence (BI) Platform. Through hands-on examples and clear instructions, you'll learn how to create insightful data visualizations, manage business intelligence reports, and deploy and maintain the BI platform effectively, empowering better data-driven decision making. What this Book will help me do Learn how to use SAP Web Intelligence to develop insightful dashboards and reports. Understand the use of SAP Crystal Reports for Enterprise in creating detailed analytics. Gain proficiency in SAP Lumira for advanced data visualization and storytelling. Learn to configure and deploy the SAP BusinessObjects BI platform in a business environment. Develop skills in using SAP Predictive Analytics to perform advanced data analysis capabilities. Author(s) Vinay Singh brings significant expertise in data analysis and the SAP BusinessObjects platform. With years of experience implementing and consulting on SAP solutions across industries, Vinay offers a unique ability to demystify complex technical subjects for readers. His practical approach and commitment to empowering readers make his book a valuable learning resource. Who is it for? This book is ideal for Business Intelligence professionals seeking to explore advanced tools for data analysis. It caters to SAP users eager to expand their expertise in leveraging SAP BusinessObjects for improved decision-making capabilities. It serves IT consultants and data analysts wishing to gain deeper insights into deployment and utilization strategies. Appropriate for beginners with foundational understanding of BI principles aiming to learn a globally recognized BI tool.

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.

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.

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.

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.

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

“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.

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

Bridge the big data gap with Microsoft Business Intelligence Tools for Excel Analysts The distinction between departmental reporting done by business analysts with Excel and the enterprise reporting done by IT departments with SQL Server and SharePoint tools is more blurry now than ever before. With the introduction of robust new features like PowerPivot and Power View, it is essential for business analysts to get up to speed with big data tools that in the past have been reserved for IT professionals. Written by a team of Business Intelligence experts, Microsoft Business Intelligence Tools for Excel Analysts introduces business analysts to the rich toolset and reporting capabilities that can be leveraged to more effectively source and incorporate large datasets in their analytics while saving them time and simplifying the reporting process. Walks you step-by-step through important BI tools like PowerPivot, SQL Server, and SharePoint and shows you how to move data back and forth between these tools and Excel Shows you how to leverage relational databases, slice data into various views to gain different visibility perspectives, create eye-catching visualizations and dashboards, automate SQL Server data retrieval and integration, and publish dashboards and reports to the web Details how you can use SQL Server's built-in functions to analyze large amounts of data, Excel pivot tables to access and report OLAP data, and PowerPivot to create powerful reporting mechanisms You'll get on top of the Microsoft BI stack and all it can do to enhance Excel data analysis with this one-of-a-kind guide written for Excel analysts just like you.

Revised to cover new advances in business intelligence—big data, cloud, mobile, and more—this fully updated bestseller reveals the latest techniques to exploit BI for the highest ROI. “Cindi has created, with her typical attention to details that matter, a contemporary forward-looking guide that organizations could use to evaluate existing or create a foundation for evolving business intelligence / analytics programs. The book touches on strategy, value, people, process, and technology, all of which must be considered for program success. Among other topics, the data, data warehousing, and ROI comments were spot on. The ‘technobabble’ chapter was brilliant!” — Bill Frank, Business Intelligence and Data Warehousing Program Manager, Johnson & Johnson “If you want to be an analytical competitor, you’ve got to go well beyond business intelligence technology. Cindi Howson has wrapped up the needed advice on technology, organization, strategy, and even culture in a neat package. It’s required reading for quantitatively oriented strategists and the technologists who support them.” — Thomas H. Davenport, President’s Distinguished Professor, Babson College and co-author, Competing on Analytics “Cindi has created an exceptional, authoritative description of the end-to-end business intelligence ecosystem. This is a great read for those who are just trying to better understand the business intelligence space, as well as for the seasoned BI practitioner.” — Sully McConnell, Vice President, Business Intelligence and Information Management, Time Warner Cable “Cindi’s book succinctly yet completely lays out what it takes to deliver BI successfully. IT and business leaders will benefit from Cindi’s deep BI experience, which she shares through helpful, real-world definitions, frameworks, examples, and stories. This is a must-read for companies engaged in – or considering – BI.” — Barbara Wixom, PhD, Principal Research Scientist, MIT Sloan Center for Information Systems Research Expanded to cover the latest advances in business intelligence such as big data, cloud, mobile, visual data discovery, and in-memory computing, this fully updated bestseller by BI guru Cindi Howson provides cutting-edge techniques to exploit BI for maximum value. Successful Business Intelligence: Unlock the Value of BI & Big Data, Second Edition describes best practices for an effective BI strategy. Find out how to: Garner executive support to foster an analytic culture Align the BI strategy with business goals Develop an analytic ecosystem to exploit data warehousing, analytic appliances, and Hadoop for the right BI workload Continuously improve the quality, breadth, and timeliness of data Find the relevance of BI for everyone in the company Use agile development processes to deliver BI capabilities and improvements at the pace of business change Select the right BI tools to meet user and business needs Measure success in multiple ways Embrace innovation, promote successes and applications, and invest in training Monitor your evolution and maturity across various factors for impact Exclusive industry survey data and real-world case studies from Medtronic, Macy’s, 1-800 CONTACTS, The Dow Chemical Company, Netflix, Constant Contact, and other companies show successful BI initiatives in action. From Moneyball to Nate Silver, BI and big data have permeated our cultural, political, and economic landscape. This timely, up-to-date guide reveals how to plan and deploy an agile, state-of-the-art BI solution that links insight to action and delivers a sustained competitive advantage.

Implement Oracle Business Intelligence Applications Provide actionable business intelligence across the enterprise to enable informed decision-making and streamlined business processes. Oracle Business Intelligence Applications: Deliver Value Through Rapid Implementations shows how to justify, configure, customize, and extend this complete package of BI solutions. You'll get a technical walkthrough of Oracle Business Intelligence Applications architecture--from the dashboard to the data source--followed by best practices for maximizing the powerful features of each application. You will also find out about stakeholders critical to project approval and success. Optimize performance using Oracle Exalytics In-Memory Machine Deliver timely financial information to managers with Oracle Financial Analytics Enable a streamlined, demand-driven supply chain via Oracle Supply Chain and Order Management Analytics Provide end-to-end visibility into manufacturing operations with Oracle Manufacturing Analytics Optimize supply-side performance through Oracle Procurement and Spend Analytics Use Oracle Human Resources Analytics to provide key workforce information to managers and HR professionals Track the costs and labor required to maintain and operate assets with Oracle Enterprise Asset Management Analytics Maintain visibility into project performance via Oracle Project Analytics Provide actionable insight into sales opportunities using Oracle Sales Analytics Enable superior customer service with Oracle Service Analytics

This comprehensive guide to IBM Cognos 10 Business Intelligence tools provides practical, hands-on learning to help you improve your business's data management and analysis capabilities. By mastering key features such as Report Studio, Analysis Studio, and Business Insight, you will be able to make smarter decisions, achieve better results, and gain a deeper understanding of your organization's data. What this Book will help me do Develop advanced reporting skills using IBM Cognos 10 Report Studio and Query Studio. Analyze data effectively with a thorough understanding of Analysis Studio features. Integrate statistical and real-time information into business reports for critical insights. Implement modern strategies to enhance business collaboration and decision-making. Master delivering high-impact business intelligence presentations to broader audiences. Author(s) The authors of this book are experienced IBM Cognos professionals who bring years of business intelligence development and consultancy expertise. They are committed to teaching in a practical and results-driven manner, providing readers with actionable skills. Their insight into IBM Cognos stems from years of real-world application, ensuring the book is rich with valuable advice. Who is it for? This book is ideal for IBM Cognos developers, business intelligence consultants, and analysts with foundational knowledge of Cognos 10 and some experience with Cognos 8. Readers who aim to deepen their understanding of reporting, administration, and analytics will find this guide valuable. It serves as both a learning resource for upgrading skills and a reference for optimizing IBM Cognos environments in professional settings.

Unique prospective on the big data analytics phenomenon for both business and IT professionals The availability of Big Data, low-cost commodity hardware and new information management and analytics software has produced a unique moment in the history of business. The convergence of these trends means that we have the capabilities required to analyze astonishing data sets quickly and cost-effectively for the first time in history. These capabilities are neither theoretical nor trivial. They represent a genuine leap forward and a clear opportunity to realize enormous gains in terms of efficiency, productivity, revenue and profitability. The Age of Big Data is here, and these are truly revolutionary times. This timely book looks at cutting-edge companies supporting an exciting new generation of business analytics. Learn more about the trends in big data and how they are impacting the business world (Risk, Marketing, Healthcare, Financial Services, etc.) Explains this new technology and how companies can use them effectively to gather the data that they need and glean critical insights Explores relevant topics such as data privacy, data visualization, unstructured data, crowd sourcing data scientists, cloud computing for big data, and much more.