Practical Business Intelligence

Practical Business Intelligence
Author: Ahmed Sherif
Publisher: Packt Publishing Ltd
Total Pages: 345
Release: 2016-12-21
Genre: Computers
ISBN: 1785889974

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Learn to get the most out of your business data to optimize your business About This Book This book will enable and empower you to break free of the shackles of spreadsheets Learn to make informed decisions using the data at hand with this highly practical, comprehensive guide This book includes real-world use cases that teach you how analytics can be put to work to optimize your business Using a fictional transactional dataset in raw form, you'll work your way up to ultimately creating a fully-functional warehouse and a fleshed-out BI platform Who This Book Is For This book is for anyone who has wrangled with data to try to perform automated data analysis through visualizations for themselves or their customers. This highly-customized guide is for developers who know a bit about analytics but don't know how to make use of it in the field of business intelligence. What You Will Learn Create a BI environment that enables self-service reporting Understand SQL and the aggregation of data Develop a data model suitable for analytical reporting Connect a data warehouse to the analytic reporting tools Understand the specific benefits behind visualizations with D3.js, R, Tableau, QlikView, and Python Get to know the best practices to develop various reports and applications when using BI tools Explore the field of data analysis with all the data we will use for reporting In Detail Business Intelligence (BI) is at the crux of revolutionizing enterprise. Everyone wants to minimize losses and maximize profits. Thanks to Big Data and improved methodologies to analyze data, Data Analysts and Data Scientists are increasingly using data to make informed decisions. Just knowing how to analyze data is not enough, you need to start thinking how to use data as a business asset and then perform the right analysis to build an insightful BI solution. Efficient BI strives to achieve the automation of data for ease of reporting and analysis. Through this book, you will develop the ability to think along the right lines and use more than one tool to perform analysis depending on the needs of your business. We start off by preparing you for data analytics. We then move on to teach you a range of techniques to fetch important information from various databases, which can be used to optimize your business. The book aims to provide a full end-to-end solution for an environment setup that can help you make informed business decisions and deliver efficient and automated BI solutions to any company. It is a complete guide for implementing Business intelligence with the help of the most powerful tools like D3.js, R, Tableau, Qlikview and Python that are available on the market. Style and approach Packed with real-world examples, this pragmatic guide helps you polish your data and make informed decisions for your business. We cover both business and data analysis perspectives, blending theory and practical hands-on work so that you perceive data as a business asset.

Practical Business Intelligence with SQL Server 2005

Practical Business Intelligence with SQL Server 2005
Author: John C. Hancock
Publisher: Pearson Education
Total Pages: 495
Release: 2006-08-28
Genre: Computers
ISBN: 0321614879

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Design, Build, and Manage High-Value BI Solutions with SQL Server 2005 In this book, two of Microsoft’s leading consultants illustrate how to use SQL Server 2005 Business Intelligence (BI) technologies to solve real-world problems in markets ranging from retail and finance to healthcare. Drawing on extensive personal experience with Microsoft’s strategic customers, John C. Hancock and Roger Toren offer unprecedented insight into BI systems design and step-by-step best practices for implementation, deployment, and management. Hancock and Toren introduce practical BI concepts and terminology and provide a concise primer on the Microsoft BI platform. Next, they turn to the heart of the book–constructing solutions. Each chapter-length case study begins with the customer’s business goals, and then guides you through detailed data modeling. The case studies show how to avoid the pitfalls that derail many BI projects. You’ll translate each model into a working system and learn how to deploy it into production, maintenance, and efficient operation. Whether you’re a decision-maker, architect, developer, or DBA, this book brings together all the knowledge you’ll need to derive maximum business value from any BI project. • Leverage SQL Server 2005 databases, Integration Services, Analysis Services, and Reporting Services • Build data warehouses and extend them to support very large databases • Design effective Analysis Services databases • Ensure the superior data quality your BI system needs • Construct advanced enterprise scorecard applications • Use data mining to segment customers, cross-sell, and increase the value of each transaction • Design real-time BI applications • Get hands-on practice with SQL Server 2005’s BI toolset

Business Analytics Using R - A Practical Approach

Business Analytics Using R - A Practical Approach
Author: Umesh R Hodeghatta
Publisher: Apress
Total Pages: 291
Release: 2016-12-27
Genre: Computers
ISBN: 1484225147

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Learn the fundamental aspects of the business statistics, data mining, and machine learning techniques required to understand the huge amount of data generated by your organization. This book explains practical business analytics through examples, covers the steps involved in using it correctly, and shows you the context in which a particular technique does not make sense. Further, Practical Business Analytics using R helps you understand specific issues faced by organizations and how the solutions to these issues can be facilitated by business analytics. This book will discuss and explore the following through examples and case studies: An introduction to R: data management and R functions The architecture, framework, and life cycle of a business analytics project Descriptive analytics using R: descriptive statistics and data cleaning Data mining: classification, association rules, and clustering Predictive analytics: simple regression, multiple regression, and logistic regression This book includes case studies on important business analytic techniques, such as classification, association, clustering, and regression. The R language is the statistical tool used to demonstrate the concepts throughout the book. What You Will Learn • Write R programs to handle data • Build analytical models and draw useful inferences from them • Discover the basic concepts of data mining and machine learning • Carry out predictive modeling • Define a business issue as an analytical problem Who This Book Is For Beginners who want to understand and learn the fundamentals of analytics using R. Students, managers, executives, strategy and planning professionals, software professionals, and BI/DW professionals.

Business Analysis for Business Intelligence

Business Analysis for Business Intelligence
Author: Bert Brijs
Publisher: CRC Press
Total Pages: 400
Release: 2016-04-19
Genre: Business & Economics
ISBN: 1439858373

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Aligning business intelligence (BI) infrastructure with strategy processes not only improves your organization's ability to respond to change, but also adds significant value to your BI infrastructure and development investments. Until now, there has been a need for a comprehensive book on business analysis for BI that starts with a macro view and

Business Intelligence Strategy

Business Intelligence Strategy
Author: John Boyer
Publisher: MC Press
Total Pages: 0
Release: 2010
Genre: Business & Economics
ISBN: 9781583473627

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Geared toward IT management and business executives seeking to excel in business intelligence initiatives, this practical guide explores creating business alignment strategies that help prioritize business requirements, build organizational and cultural strategies, increase IT efficiency, and promote user adoption. Business intelligence, together with business analytics and performance management, eliminates information overload by organizing the massive amounts of information available in the modern enterprise. Addressing the challenges of business intelligence operations, this resource supports the goal of better business decision making and identifying unrealized opportunities. Each chapter includes a checklist of recommended approaches and a strategy overview template.

Business Intelligence

Business Intelligence
Author: Carlo Vercellis
Publisher: John Wiley & Sons
Total Pages: 314
Release: 2011-08-10
Genre: Mathematics
ISBN: 1119965470

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Business intelligence is a broad category of applications and technologies for gathering, providing access to, and analyzing data for the purpose of helping enterprise users make better business decisions. The term implies having a comprehensive knowledge of all factors that affect a business, such as customers, competitors, business partners, economic environment, and internal operations, therefore enabling optimal decisions to be made. Business Intelligence provides readers with an introduction and practical guide to the mathematical models and analysis methodologies vital to business intelligence. This book: Combines detailed coverage with a practical guide to the mathematical models and analysis methodologies of business intelligence. Covers all the hot topics such as data warehousing, data mining and its applications, machine learning, classification, supply optimization models, decision support systems, and analytical methods for performance evaluation. Is made accessible to readers through the careful definition and introduction of each concept, followed by the extensive use of examples and numerous real-life case studies. Explains how to utilise mathematical models and analysis models to make effective and good quality business decisions. This book is aimed at postgraduate students following data analysis and data mining courses. Researchers looking for a systematic and broad coverage of topics in operations research and mathematical models for decision-making will find this an invaluable guide.

Business Intelligence and Human Resource Management

Business Intelligence and Human Resource Management
Author: Deepmala Singh
Publisher: CRC Press
Total Pages: 250
Release: 2022-08-31
Genre: Business & Economics
ISBN: 1000619389

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Business Intelligence (BI) is a solution to modern business problems. This book discusses the relationship between BI and Human Resource Management (HRM). In addition, it discusses how BI can be used as a strategic decision-making tool for the sustainable growth of an organization or business. BI helps organizations generate interactive reports with clear and reliable data for making numerous business decisions. This book covers topics spanning the important areas of BI in the context of HRM. It gives an overview of the aspects, tools, and techniques of BI and how it can assist HRM in creating a successful future for organizations. Some of the tools and techniques discussed in the book are analysis, data preparation, BI-testing, implementation, and optimization on GR and management disciplines. It will include a chapter on text mining as well as a section of case studies for practical use. This book will be useful for business professionals, including but not limited to, HR professionals, and budding business students.

Business Intelligence Guidebook

Business Intelligence Guidebook
Author: Rick Sherman
Publisher: Newnes
Total Pages: 551
Release: 2014-11-04
Genre: Computers
ISBN: 0124115284

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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.

Business Intelligence

Business Intelligence
Author: Elizabeth Vitt
Publisher:
Total Pages: 0
Release: 2002
Genre: Business intelligence
ISBN: 9780735616271

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This book illustrates how organizations can make better, faster decisions about their customers, partners, and operations by turning mountains of data into valuable business information that's at the fingertips of decision makers. It describes what's involved in using business intelligence to bring together information, people, and technology to create successful business strategies-and how to execute those strategies with confidence. Real-life case studies show how world leaders in finance, manufacturing, and retail have successfully implemented business intelligence solutions and detail the benefits they have reaped.

Practical Analytics

Practical Analytics
Author: Nitin Kale
Publisher:
Total Pages: 428
Release: 2016-01-31
Genre:
ISBN: 9780997209204

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Practical Analytics covers analytics concepts and activities in a way that provides real-world skill building while reinforcing fundamental concepts. This book provides a much needed approach to analytics through theory, applications, and hands-on experience using the latest industry tools. This book providea a comprehensive and self-contained overview of analytics. The reader will be able to learn and apply all the concepts in the book without excessive prerequisites.