Business Intelligence For The Real Time Enterprise

DOWNLOAD

Download Business Intelligence For The Real Time Enterprise PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Business Intelligence For The Real Time Enterprise book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page

Business Intelligence For The Real Time Enterprise

DOWNLOAD
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.

Business Intelligence For The Real Time Enterprises

DOWNLOAD
Author : Christoph Bussler
language : en
Publisher: Springer
Release Date : 2007-08-22

Business Intelligence For The Real Time Enterprises written by Christoph Bussler and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-08-22 with Computers categories.

This book constitutes the thoroughly refereed post-proceedings of the First International Workshop on Business Intelligence for the Real-Time Enterprise, BIRTE 2006, held in Seoul, Korea in September 2006 in conjunction with VLDB 2006, the International Conference on Very Large Data Bases. The papers discuss the five major aspects of business intelligence for the real-time enterprise.

Big Data Imperatives

DOWNLOAD
Author : Soumendra Mohanty
language : en
Publisher: Apress
Release Date : 2013-08-23

Big Data Imperatives written by Soumendra Mohanty and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-08-23 with Computers categories.

Big Data Imperatives, focuses on resolving the key questions on everyone’s mind: Which data matters? Do you have enough data volume to justify the usage? How you want to process this amount of data? How long do you really need to keep it active for your analysis, marketing, and BI applications? Big data is emerging from the realm of one-off projects to mainstream business adoption; however, the real value of big data is not in the overwhelming size of it, but more in its effective use. This book addresses the following big data characteristics: Very large, distributed aggregations of loosely structured data – often incomplete and inaccessible Petabytes/Exabytes of data Millions/billions of people providing/contributing to the context behind the data Flat schema's with few complex interrelationships Involves time-stamped events Made up of incomplete data Includes connections between data elements that must be probabilistically inferred Big Data Imperatives explains 'what big data can do'. It can batch process millions and billions of records both unstructured and structured much faster and cheaper. Big data analytics provide a platform to merge all analysis which enables data analysis to be more accurate, well-rounded, reliable and focused on a specific business capability. Big Data Imperatives describes the complementary nature of traditional data warehouses and big-data analytics platforms and how they feed each other. This book aims to bring the big data and analytics realms together with a greater focus on architectures that leverage the scale and power of big data and the ability to integrate and apply analytics principles to data which earlier was not accessible. This book can also be used as a handbook for practitioners; helping them on methodology,technical architecture, analytics techniques and best practices. At the same time, this bookintends to hold the interest of those new to big data and analytics by giving them a deep insight into the realm of big data.

Enabling Real Time Business Intelligence

DOWNLOAD
Author : Malu Castellanos
language : en
Publisher: Springer
Release Date : 2013-08-21

Enabling Real Time Business Intelligence 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 2013-08-21 with Computers categories.

This book constitutes the thoroughly refereed conference proceedings of the 6th International Workshop on Business Intelligence for the Real-Time Enterprise, BIRTE 2012, held in Istanbul, Turkey, in August 2012, in conjunction with VLDB 2012, the International Conference on Very Large Data Bases. The BIRTE workshop series provides a forum to discuss and advance the science and engineering enabling real-time business intelligence and the novel applications that build on these foundational techniques. This volume contains ten research papers, which were carefully reviewed and selected from 13 submissions.

Managing Enterprise Business Intelligence A Comprehensive Guide 2025

DOWNLOAD
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

Business Intelligence Guidebook

DOWNLOAD
Author : Rick Sherman
language : en
Publisher: Newnes
Release Date : 2014-11-04

Business Intelligence Guidebook written by Rick Sherman and has been published by Newnes this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-11-04 with Computers categories.

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.

E Business

DOWNLOAD
Author : Robert M.X. Wu
language : en
Publisher: BoD – Books on Demand
Release Date : 2021-05-19

E Business written by Robert M.X. Wu and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-19 with Business & Economics categories.

This book provides the latest viewpoints of scientific research in the field of e-business. It is organized into three sections: “Higher Education and Digital Economy Development”, “Artificial Intelligence in E-Business”, and “Business Intelligence Applications”. Chapters focus on China’s higher education in e-commerce, digital economy development, natural language processing applications in business, Information Technology Governance, Risk and Compliance (IT GRC), business intelligence, and more.

The Practical Real Time Enterprise

DOWNLOAD
Author : Bernd Kuglin
language : en
Publisher: Springer Science & Business Media
Release Date : 2005-08-15

The Practical Real Time Enterprise written by Bernd Kuglin 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 2005-08-15 with Business & Economics categories.

Speed as a factor for success Our modern industrial society lives life in the fast lane. The catchwords “faster”, “shorter”, “more powerful” reflect what we experience in almost all aspects of our lives. Whether at home or at work, we are constantly on the move and in a rush. In our private lives we find rapid exchange of inf- mation most entertaining and we are fascinated by the wide range of inf- mation that pours in on us from all around the world, mainly via the new media. It gives us the feeling of being a part of the action everywhere and all the time. Seldom are we aware that the only reason this flood of inf- mation, often referred to as “overstimulation”, does not lead to overkill is that we manage to organize our time effectively. There are many parallels to this in the business world. Here too, a great deal of time pressure is exerted from outside; goals are set ever higher and deadlines become tighter. In other words, demands on our time demand faster reaction. Crucial information travels around the globe – across all time zones – in a matter of seconds. In fact, instead of CET or CEST, it would make sense to have a single time zone for the worldwide network called GST for Global Simultaneous Time. In business more so than in p- vate life, we are almost constantly online.

Business Intelligence For Telecommunications

DOWNLOAD
Author : Deepak Pareek
language : en
Publisher: CRC Press
Release Date : 2006-11-29

Business Intelligence For Telecommunications written by Deepak Pareek and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-11-29 with Business & Economics categories.

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 co

Big Data Analytics Techniques For Market Intelligence

DOWNLOAD
Author : Darwish, Dina
language : en
Publisher: IGI Global
Release Date : 2024-01-04

Big Data Analytics Techniques For Market Intelligence written by Darwish, Dina and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-04 with Computers categories.

The ever-expanding realm of Big Data poses a formidable challenge for academic scholars and professionals due to the sheer magnitude and diversity of data types, along with the continuous influx of information from various sources. Extracting valuable insights from this vast and complex dataset is crucial for organizations to uncover market intelligence and make informed decisions. However, without the proper guidance and understanding of Big Data analytics techniques and methodologies, scholars may struggle to navigate this landscape and maximize the potential benefits of their research. In response to this pressing need, Professor Dina Darwish presents Big Data Analytics Techniques for Market Intelligence, a groundbreaking book that addresses the specific challenges faced by scholars and professionals in the field. Through a comprehensive exploration of various techniques and methodologies, this book offers a solution to the hurdles encountered in extracting meaningful information from Big Data. Covering the entire lifecycle of Big Data analytics, including preprocessing, analysis, visualization, and utilization of results, the book equips readers with the knowledge and tools necessary to unlock the power of Big Data and generate valuable market intelligence. With real-world case studies and a focus on practical guidance, scholars and professionals can effectively leverage Big Data analytics to drive strategic decision-making and stay at the forefront of this rapidly evolving field.