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📒Business Intelligence For Telecommunications ✍ Deepak Pareek
✏Business Intelligence for Telecommunications Book Summary : Bringing together market research reports, business analyst briefings, and technology references into one comprehensive volume, Business Intelligence for Telecommunications identifies those advances in both methods and technology that are being employed to inform decision-making and give companies an edge in the rapidly growing and highly competitive telecommunications industry. The author provides clear explanations without technical jargon, followed by in-depth descriptions regarding both the collection and use of information. He defines the recognized stages of business intelligence, examines issues arising from the emergence of customer-centric business models, and identifies areas that are likely to require research in the near future.
📒Business Intelligence ✍ David Loshin
✏Business Intelligence Book Summary : Following the footsteps of the first edition, the second edition of Business Intelligence is a full overview of what comprises business intelligence. It is intended to provide an introduction to the concepts to uncomplicate the learning process when implementing a business intelligence program. Over a relatively long lifetime (7 years), the current edition of book has received numerous accolades from across the industry for its straightforward introduction to both business and technical aspects of business intelligence. As an author, David Loshin has a distinct ability to translate challenging topics into a framework that is easily digestible by managers, business analysts, and technologists alike. In addition, his material has developed a following (such as the recent Master Data Management book) among practitioners and key figures in the industry (both analysts and vendors) and that magnifies our ability to convey the value of this book. Guides managers through developing, administering, or simply understanding business intelligence technology Keeps pace with the changes in best practices, tools, methods and processes used to transform an organization's data into actionable knowledge Contains a handy, quick-reference to technologies and terminology.
📒Business Intelligence For The Enterprise ✍ Mike Biere
✏Business Intelligence for the Enterprise Book Summary : * *Offers techniques based on years of field work at IBM *Includes stories of companies that implemented BI Those that succeed and those that have failed! *Coverage includes recommendations to help implement BI consistently at the enterprise level
📒Practical Business Intelligence ✍ Ahmed Sherif
✏Practical Business Intelligence Book Summary : 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.
📒The Profit Impact Of Business Intelligence ✍ Steve Williams
✏The Profit Impact of Business Intelligence Book Summary : The Profit Impact of Business Intelligence presents an A-to-Z approach for getting the most business intelligence (BI) from a company's data assets or data warehouse. BI is not just a technology or methodology, it is a powerful new management approach that – when done right – can deliver knowledge, efficiency, better decisions, and profit to almost any organization that uses it. When BI first came on the scene, it promised a lot but often failed to deliver. The missing element was the business-centric focus explained in this book. It shows how you can achieve the promise of BI by connecting it to your organization’s strategic goals, culture, and strengths while correcting your BI weaknesses. It provides a practical, process-oriented guide to achieve the full promise of BI; shows how world-class companies used BI to become leaders in their industries; helps senior business and IT executives understand the strategic impact of BI and how they can ensure a strong payoff from their BI investments; and identifies the most common mistakes organizations make in implementing BI. The book also includes a helpful glossary of BI terms; a BI readiness assessment for your organization; and Web links and extensive references for more information. A practical, process-oriented book that will help organizations realize the promise of BI Written by Nancy and Steve Williams, veteran consultants and instructors with hands-on, "in the trenches" experience in government and corporate business intelligence applications Will help senior business and IT executives understand the strategic impact of BI and how they can help ensure a strong payoff on BI investments
📒Business Intelligence ✍ Rajiv Sabherwal
✏Business Intelligence Book Summary : Business professionals who want to advance their careers need to have a strong understanding of how to utilize business intelligence. This new book provides a comprehensive introduction to the basic business and technical concepts they’ll need to know. It integrates case studies that demonstrate how to apply the material. Business professionals will also find suggested further readings that will develop their knowledge and help them succeed.
📒Business Intelligence ✍ Jörg Greitemeyer
✏Business Intelligence Book Summary : Inhaltsangabe:Abstract: The worldwide process of globalization makes it necessary for a firm to collect in-formation about its external environment (competitors, stakeholders, products, markets, etc.) and to relate it with the internal information of the firm. In 1985 Porter and Millar (1985) described an information revolution that affects competition in different ways. Collecting internal and external data is the necessary first step to guarantee a valid information base for strategic decisions and successful actions. The evaluation of these data for decision-making processes and the ability to see important relations and structures in the data can be supported by new IT-applications, called Business Intelligence (henceforth BI). This thesis examines the latest developments of information technologies from the Resource-based perspective of Strategic Management. The general question that motivates this thesis and needs to be answered is: Can the use of Business Intelligence Applications lead to a sustainable competitive advantage? One a more concrete level it asks, if Business Intelligence solutions can be resources that lead directly to a long-lasting competitive advantage or at least to a temporary advantage. Answering those questions pursues the aim of making a step towards the operationalization of the Resource-based View (RBV) and the more specialized Dynamic Capability View (DCV). The subject of the analysis is a specific Business Intelligence software solution, which has been chosen because it is representative of all BI applications. It is offered worldwide on the markets for analytical applications in Europe, Asia and America and based on the common data warehouse technology. This thesis is supposed to provide the base for possible further empirical work regarding this topic. The empirical work of this thesis is done in the mode of a case study concentrating on a set of information technology products. The examination of a specific application that is offered on the market Business Intelligence on an analysis based on the Resource-based view enables the proving of statements about BI with the help of concrete examples. The case study is based to substantial parts on information derived from personal interviews with Siemens Business Services, Germany and information available in the Internet. The first part of this thesis (section 2) gives an introduction and categorization of Business Intelligence. Using the example of the [...]
📒Business Analysis For Business Intelligence ✍ Bert Brijs
✏Business Analysis for Business Intelligence Book Summary : 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 Book Summary : The field of business intelligence is evolving and quickly becoming a shared commodity by managers, analysts, and top executives across organizations. Business Intelligence: A Managerial Approach introduces the reader to the most current technologies found in today's business world and presents the fundamental techniques, construction, and usage of BI systems.
📒Open Source Business Intelligence ✍ Nils Clausen
✏Open Source Business Intelligence Book Summary : This book presents an in-depth introduction to the characteristics and capabilities of two data-mining and business intelligence software packages: RapidMiner and the Jaspersoft Business Intelligence (BI) Suite.