Business Intelligence For The Enterprise
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The New Era Of Enterprise Business Intelligence
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Author : Mike Biere
language : en
Publisher: Pearson Education
Release Date : 2010-08-15
The New Era Of Enterprise Business Intelligence written by Mike Biere and has been published by Pearson Education this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-08-15 with Business & Economics categories.
A Complete Blueprint for Maximizing the Value of Business Intelligence in the Enterprise The typical enterprise recognizes the immense potential of business intelligence (BI) and its impact upon many facets within the organization—but it’s not easy to transform BI’s potential into real business value. In The New Era of Enterprise Business Intelligence, top BI expert Mike Biere presents a complete blueprint for creating winning BI strategies and infrastructure, and systematically maximizing the value of information throughout the enterprise. This product-independent guide brings together start-to-finish guidance and practical checklists for every senior IT executive, planner, strategist, implementer, and the actual business users themselves. Drawing on thousands of hours working with enterprise customers, Biere helps decision-makers choose from today’s unprecedented spectrum of options, including the latest BI platform suites and appliances. He offers practical, “in-the-trenches” insights on a wide spectrum of planning and implementation issues, from segmenting and supporting users to working with unstructured data. Coverage includes Understanding the scope of today’s BI solutions and how they fit into existing infrastructure Assessing new options such as SaaS and cloud-based technologies Avoiding technology biases and other “project killers” Developing effective RFIs/RFPs and proofs of concept Setting up competency centers and planning for skills development Crafting a better experience for all your business users Supporting the requirements of senior executives, including performance management Cost-justifying BI solutions and measuring success Working with enterprise content management, text analytics, and search Planning and constructing portals, mashups, and other user interfaces Previewing the future of BI
Business Intelligence For The Enterprise
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Author : Mike Biere
language : en
Publisher: Prentice Hall Professional
Release Date : 2003
Business Intelligence For The Enterprise written by Mike Biere and has been published by Prentice Hall Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Business & Economics categories.
This text aims to help you to maximize the potential of Business Intelligence in your organization. It includes stories of companies that implemented BI - those that have succeeded and those that have failed.
The Path To An Intelligent Enterprise
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Author : Reinhold Exner
language : en
Publisher: Springer Nature
Release Date : 2025-02-13
The Path To An Intelligent Enterprise written by Reinhold Exner and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-13 with Business & Economics categories.
Business Intelligence (BI) and data-driven decision-making have long been atop the priority list for companies. However, many companies continue to struggle to keep up. The collision between rising management expectations, rapid technological advancements, and organizational rigidity, along with traditional ways of working, often hampers progress. This book aims to contextualize innovations like Big Data, the Internet of Things, and Artificial Intelligence, which have predominantly been discussed from a technology-centric standpoint, within a business framework. It presents compelling evidence that companies without a well-organized and leveraged business intelligence strategy are prone to squandering money and resources on hasty and improvised BI initiatives. The book delves into effective business intelligence application, equipping practitioners with a solid understanding of successful practices and how to implement them. Practical tips and accelerators, including a template for documenting a BI strategy for organizations, are provided. The book is intended for business professionals and decision-makers responsible for strategic BI initiatives, as well as practitioners and users of business intelligence systems.
Modern Enterprise Business Intelligence And Data Management
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Author : Alan Simon
language : en
Publisher: Morgan Kaufmann
Release Date : 2014-08-28
Modern Enterprise Business Intelligence And Data Management written by Alan Simon and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-08-28 with Computers categories.
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
Managing Enterprise Business Intelligence A Comprehensive Guide 2025
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Author : Saurabhkumar Sumatprakash Gandhi, Prof (Dr) Moparthi Nageswara Rao
language : en
Publisher: YASHITA PRAKASHAN PRIVATE LIMITED
Release Date :
Managing Enterprise Business Intelligence A Comprehensive Guide 2025 written by Saurabhkumar Sumatprakash Gandhi, Prof (Dr) Moparthi Nageswara Rao and has been published by YASHITA PRAKASHAN PRIVATE LIMITED this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
PREFACE In the rapidly evolving digital landscape, data has become one of the most valuable assets for organizations. With vast amounts of information being generated every second, businesses are under constant pressure to transform this data into actionable insights that drive decision-making, strategy, and innovation. Business Intelligence (BI) is at the forefront of this transformation, enabling organizations to harness the power of their data and convert it into meaningful, real-time insights. The role of BI within enterprises has grown significantly over the past few decades, evolving from simple reporting tools to complex, integrated platforms capable of advanced analytics, machine learning, and predictive modeling. However, as organizations continue to scale and their data ecosystems grow more complex, effectively managing enterprise BI systems has become a critical challenge. This book, Managing Enterprise Business Intelligence: A Comprehensive Guide, aims to provide readers with a thorough understanding of how to design, implement, and manage a successful enterprise BI strategy. It is designed for business leaders, IT professionals, data analysts, and BI managers who are seeking to navigate the challenges of managing BI systems at an enterprise level. Whether you are in the initial stages of adopting BI or looking to optimize an existing system, this book provides both the foundational knowledge and advanced strategies necessary for success. The first part of this book explores the fundamental concepts of Business Intelligence, including data integration, data governance, and the several types of BI tools and technologies available. It delves into how BI fits into the broader context of enterprise data management, and how to align BI strategies with organizational goals. With BI being a critical driver of organizational decision-making, it is crucial that businesses understand how to effectively leverage these tools to maximize value. As we move further into the book, we dive deep into the practicalities of managing an enterprise BI environment. We examine the organizational aspects of BI management, including the roles of BI teams, collaboration across departments, and fostering a data-driven culture. Building a strong data governance framework is also crucial, as it ensures the quality, consistency, and security of the data being used for decision-making. This section addresses the importance of data stewardship and compliance, which is particularly critical in today’s regulatory landscape. Next, we turn our attention to technology and infrastructure. From data warehousing and ETL (Extract, Transform, Load) processes to cloud-based BI solutions and real-time analytics, we cover the technologies that support BI platforms, and the steps involved in integrating and managing these tools within an organization’s infrastructure. The rapid adoption of cloud computing and big data technologies has redefined how businesses manage and process large volumes of data. This book discusses how to evaluate and implement the right mix of on-premises and cloud-based solutions, and how to scale BI environments to meet the growing needs of enterprise users. We also address the challenges of user adoption and training, which are often barriers to the successful implementation of BI solutions. We discuss best practices for engaging users across all levels of the organization and ensuring that BI tools are used effectively to inform decisions. Additionally, we explore how organizations can foster a culture that encourages data literacy and empowers individuals at all levels to leverage BI for strategic insights. Finally, this book covers advanced BI topics, such as AI-driven analytics, predictive and prescriptive modeling, and the integration of BI with machine learning and data science. As enterprises continue to evolve and their data environments become more sophisticated, the ability to incorporate advanced analytics and integrate BI with broader enterprise technologies will be key to gaining a competitive advantage. The objective of this book is not only to provide practical guidance for managing BI at an enterprise level but also to give readers a strategic understanding of how BI impacts organizational performance. Whether you oversee a BI department, a data management team, or a business unit, you will find actionable insights that will help you drive the adoption and success of your BI initiatives. In an era where data is the new oil, managing enterprise business intelligence is more critical than ever. This guide offers both a roadmap and practical solutions to empower businesses to unlock the full potential of their data and transform it into insights that lead to better decision-making, improved efficiency, and sustainable growth. Welcome to a journey of mastering enterprise Business Intelligence, unlocking its true potential, and transforming the way your organization uses data to stay competitive in the digital age. Authors
The New Era Of Enterprise Business Intelligence
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Author : Biere Mike
language : en
Publisher:
Release Date : 1900
The New Era Of Enterprise Business Intelligence written by Biere Mike and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1900 with categories.
A Complete Blueprint for Maximizing the Value of Business Intelligence in the Enterprise The typical enterprise recognizes the immense potential of business intelligence (BI) and its impact upon many facets within the organization-but it's not easy to transform BI's potential into real business value. In The New Era of Enterprise Business Intelligence, top BI expert Mike Biere presents a complete blueprint for creating winning BI strategies and infrastructure, and systematically maximizing the value of information throughout the enterprise. This product-independent guide brings togethe.
Business Intelligence For The Real Time Enterprise
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Author : Malu Castellanos
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-08-03
Business Intelligence For The Real Time Enterprise written by Malu Castellanos and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-08-03 with Computers categories.
In todayís competitive and highly dynamic environment, analyzing data to understand how the business is performing, to predict outcomes and trends, and to improve the effectiveness of business processes underlying business operations has become cri- cal. The traditional approach to reporting is no longer adequate, users now demand easy-to-use intelligent platforms and applications capable of analyzing real-time bu- ness data to provide insight and actionable information at the right time. The end goal is to improve the enterprise performance by better and timelier decision making, - abled by the availability of up-to-date, high-quality information. As a response, the notion of "real-time enterprise" has emerged and is beginning to be recognized in the industry. Gartner defines it as “using up-to-date information, getting rid of delays, and using speed for competitive advantage is what the real-time enterprise is all about. . . Indeed, the goal of the real-time enterprise is to act on events as they happen. ” Although there has been progress in this direction and many com- nies are introducing products toward making this vision a reality, there is still a long way to go. In particular, the whole lifecycle of business intelligence requires new techniques and methodologies capable of dealing with the new requirements imposed by the real-time enterprise.
Oracle Business Intelligence Enterprise Edition 12c
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Author : Adrian Ward
language : en
Publisher: Packt Publishing Ltd
Release Date : 2017-04-20
Oracle Business Intelligence Enterprise Edition 12c written by Adrian Ward and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-04-20 with Computers categories.
A comprehensive guide from Oracle experts, that will act as your single point of reference for building an Oracle BI 12c system that turns data in actionable insight. About This Book Come, start your first Oracle Business intelligence system and excel in BI with this exhaustive guide An all-encompassing guide for your Oracle business intelligence needs Learn from the self-paced professional guidance and implement Oracle business intelligence using this easy-to-follow guide by our experts Who This Book Is For If your job includes working on data, improving the financial or operational performance of your organization or you are a consultant for the above, then this book is for you. If you have been placed on a business intelligence project, then this book is for you. If you are the Project Manager, Business Analyst or Data Scientist then this book is for you. If you are an end user of Oracle Business Intelligence, then this book is for you too. Having a basic understanding of databases and the use of Business Intelligence is expected, but no knowledge of Oracle BI is required. What You Will Learn Install OBIEE in Windows, including how to create the underlying Weblogic Application server and the required database Build the BI system repository, the vital engine connecting your data to the front end of Oracle BI Develop effective analysis, draw out meaning from the data, and present it to end users on interactive dashboards Build pixel-perfect, printable reports using the embedded BI Publisher feature Build agents for actionable insight and enable your users to act on Business Intelligence at their desktop or on the move Understand the various aspects of securing the Oracle BI system, from data restrictions to whole dashboard access rights Get acquainted with the system management tools and methods available for the continuous improvement of your system In Detail Oracle Business Intelligence Enterprise Edition (OBIEE) 12c is packed full of features and has a fresh approach to information presentation, system management, and security. OBIEE can help any organization to understand its data, to make useful information from data, and to ensure decision-making is supported by facts. OBIEE can focus on information that needs action, alerting users when conditions are met. OBIEE can be used for data analysis, form production, dashoarding, and workflow processes. We will introduce you to OBIEE features and provide a step-by-step guide to build a complete system from scratch. With this guide, you will be equipped with a good basic understanding of what the product contains, how to install and configure it, and how to create effective Business Intelligence. This book contains the necessary information for a beginner to create a high-performance OBIEE 12c system. This book is also a guide that explains how to use an existing OBIEE 12c system, and shows end users how to create. Style and approach This book will take you from one feature to another in a step-by-step manner and will teach how you can create effective business intelligence using Oracle Business Intelligence Enterprise Edition. You will be taught how to create BI solutions and dashboards from scratch. There will be multiple modules in the book, each module spread in chapters, that will cover one aspect of business intelligence in a systematic manner.
Business Analytics Using Sas Enterprise Guide And Sas Enterprise Miner
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Author : Olivia Parr-Rud
language : en
Publisher: SAS Institute
Release Date : 2014-10-01
Business Analytics Using Sas Enterprise Guide And Sas Enterprise Miner written by Olivia Parr-Rud and has been published by SAS Institute this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-10-01 with Computers categories.
This tutorial for data analysts new to SAS Enterprise Guide and SAS Enterprise Miner provides valuable experience using powerful statistical software to complete the kinds of business analytics common to most industries. Today’s businesses increasingly use data to drive decisions that keep them competitive. Especially with the influx of big data, the importance of data analysis to improve every dimension of business cannot be overstated. Data analysts are therefore in demand; however, many hires and prospective hires, although talented with respect to business and statistics, lack the know-how to perform business analytics with advanced statistical software. Business Analytics Using SAS Enterprise Guide and SAS Enterprise Miner is a beginner’s guide with clear, illustrated, step-by-step instructions that will lead you through examples based on business case studies. You will formulate the business objective, manage the data, and perform analyses that you can use to optimize marketing, risk, and customer relationship management, as well as business processes and human resources. Topics include descriptive analysis, predictive modeling and analytics, customer segmentation, market analysis, share-of-wallet analysis, penetration analysis, and business intelligence. This book is part of the SAS Press program.
Business Intelligence For The Real Time Enterprise
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Author : Malu Castellanos
language : en
Publisher: Springer
Release Date : 2009-08-04
Business Intelligence For The Real Time Enterprise written by Malu Castellanos and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-08-04 with Computers categories.
In todayís competitive and highly dynamic environment, analyzing data to understand how the business is performing, to predict outcomes and trends, and to improve the effectiveness of business processes underlying business operations has become cri- cal. The traditional approach to reporting is no longer adequate, users now demand easy-to-use intelligent platforms and applications capable of analyzing real-time bu- ness data to provide insight and actionable information at the right time. The end goal is to improve the enterprise performance by better and timelier decision making, - abled by the availability of up-to-date, high-quality information. As a response, the notion of "real-time enterprise" has emerged and is beginning to be recognized in the industry. Gartner defines it as “using up-to-date information, getting rid of delays, and using speed for competitive advantage is what the real-time enterprise is all about. . . Indeed, the goal of the real-time enterprise is to act on events as they happen. ” Although there has been progress in this direction and many com- nies are introducing products toward making this vision a reality, there is still a long way to go. In particular, the whole lifecycle of business intelligence requires new techniques and methodologies capable of dealing with the new requirements imposed by the real-time enterprise.