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Modern Enterprise Business Intelligence and Data Management

Modern Enterprise Business Intelligence and Data Management
  • Author : Alan Simon
  • Publisher :Unknown
  • Release Date :2014-08-28
  • Total pages :96
  • ISBN : 9780128017456
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Summary : 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

Enterprise Business Intelligence and Data Warehousing

Enterprise Business Intelligence and Data Warehousing
  • Author : Alan Simon
  • Publisher :Unknown
  • Release Date :2014-11-24
  • Total pages :100
  • ISBN : 9780128017463
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Summary : Corporations and governmental agencies of all sizes are embracing a new generation of enterprise-scale business intelligence (BI) and data warehousing (DW), and very often appoint a single senior-level individual to serve as the Enterprise BI/DW Program Manager. This book is the essential guide to the incremental and iterative build-out of a successful enterprise-scale BI/DW program comprised of multiple underlying projects, and what the Enterprise Program Manager must successfully accomplish to orchestrate the many moving parts in the quest for true enterprise-scale business intelligence and data warehousing. Author Alan Simon has served as an enterprise business intelligence and data warehousing program management advisor to many of his clients, and spent an entire year with a single client as the adjunct consulting director for a $10 million enterprise data warehousing (EDW) initiative. He brings a wealth of knowledge about best practices, risk management, organizational culture alignment, and other Critical Success Factors (CSFs) to the discipline of enterprise-scale business intelligence and data warehousing.

Enterprise Business Intelligence and Data Warehousing

Enterprise Business Intelligence and Data Warehousing
  • Author : Alan Simon
  • Publisher :Unknown
  • Release Date :2014-11-24
  • Total pages :100
  • ISBN : 9780128017463
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Summary : Corporations and governmental agencies of all sizes are embracing a new generation of enterprise-scale business intelligence (BI) and data warehousing (DW), and very often appoint a single senior-level individual to serve as the Enterprise BI/DW Program Manager. This book is the essential guide to the incremental and iterative build-out of a successful enterprise-scale BI/DW program comprised of multiple underlying projects, and what the Enterprise Program Manager must successfully accomplish to orchestrate the many moving parts in the quest for true enterprise-scale business intelligence and data warehousing. Author Alan Simon has served as an enterprise business intelligence and data warehousing program management advisor to many of his clients, and spent an entire year with a single client as the adjunct consulting director for a $10 million enterprise data warehousing (EDW) initiative. He brings a wealth of knowledge about best practices, risk management, organizational culture alignment, and other Critical Success Factors (CSFs) to the discipline of enterprise-scale business intelligence and data warehousing.

Business Intelligence for Telecommunications

Business Intelligence for Telecommunications
  • Author : Deepak Pareek
  • Publisher :Unknown
  • Release Date :2006-11-29
  • Total pages :312
  • ISBN : 0849387914
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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 co

Modern Data Strategy

Modern Data Strategy
  • Author : Mike Fleckenstein,Lorraine Fellows
  • Publisher :Unknown
  • Release Date :2018-03-13
  • Total pages :263
  • ISBN : 9783319689937
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Summary : This book contains practical steps business users can take to implement data management in a number of ways, including data governance, data architecture, master data management, business intelligence, and others. It defines data strategy, and covers chapters that illustrate how to align a data strategy with the business strategy, a discussion on valuing data as an asset, the evolution of data management, and who should oversee a data strategy. This provides the user with a good understanding of what a data strategy is and its limits. Critical to a data strategy is the incorporation of one or more data management domains. Chapters on key data management domains—data governance, data architecture, master data management and analytics, offer the user a practical approach to data management execution within a data strategy. The intent is to enable the user to identify how execution on one or more data management domains can help solve business issues. This book is intended for business users who work with data, who need to manage one or more aspects of the organization’s data, and who want to foster an integrated approach for how enterprise data is managed. This book is also an excellent reference for students studying computer science and business management or simply for someone who has been tasked with starting or improving existing data management.

Navigating the Labyrinth

Navigating the Labyrinth
  • Author : Laura Sebastian-Coleman
  • Publisher :Unknown
  • Release Date :2018-05-09
  • Total pages :208
  • ISBN : 9781634623773
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Summary : An Executive Guide to Data Management

Performance Dashboards

Performance Dashboards
  • Author : Wayne W. Eckerson
  • Publisher :Unknown
  • Release Date :2005-10-27
  • Total pages :256
  • ISBN : 9780471757658
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Summary : Tips, techniques, and trends on how to use dashboard technology tooptimize business performance Business performance management is a hot new management disciplinethat delivers tremendous value when supported by informationtechnology. Through case studies and industry research, this bookshows how leading companies are using performance dashboards toexecute strategy, optimize business processes, and improveperformance. Wayne W. Eckerson (Hingham, MA) is the Director of Research for TheData Warehousing Institute (TDWI), the leading association ofbusiness intelligence and data warehousing professionals worldwidethat provide high-quality, in-depth education, training, andresearch. He is a columnist for SearchCIO.com, DM Review,Application Development Trends, the Business Intelligence Journal,and TDWI Case Studies & Solution.

Recent Advances in Information and Communication Technology 2019

Recent Advances in Information and Communication Technology 2019
  • Author : Pongsarun Boonyopakorn,Phayung Meesad,Sunantha Sodsee,Herwig Unger
  • Publisher :Unknown
  • Release Date :2019-05-11
  • Total pages :270
  • ISBN : 9783030198619
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Summary : This book presents the latest research on computer recognition systems. Over the last few years, computer scientists, engineers and users have been confronted with rapid changes in computer interfaces and in the abilities of the machines and the services available. And this is just the beginning: based on recent research findings, we can expect more significant advances and challenges in the next decade. Achievements in the area of artificial intelligence have made an important major contribution to these developments: Machine learning, natural language processing, speech recognition, image and video processing are just some of the major research and engineering directions that have made autonomous driving, language assistants, automatic translation and answering systems as well as other innovative applications such as more human-oriented interfaces possible. Those developments also reflect economic changes in the world, which are increasingly dominated by the needs of enhanced globalization, international cooperation (including its competitive aspects) and emerging global problems.

From Active Data Management to Event-Based Systems and More

From Active Data Management to Event-Based Systems and More
  • Author : Kai Sachs,Ilia Petrov,Pablo Guerrero
  • Publisher :Unknown
  • Release Date :2010-11-16
  • Total pages :337
  • ISBN : 9783642172250
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Summary : Dedicated to the vision of Prof. Alejandro Buchmann, this collection of work illuminates various facets of data management and reflects the development of the field from its early association with database systems through to today’s wide-ranging applications.

The New Era of Enterprise Business Intelligence

The New Era of Enterprise Business Intelligence
  • Author : Mike Biere
  • Publisher :Unknown
  • Release Date :2010-08-15
  • Total pages :320
  • ISBN : 9780132100618
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Summary : 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

Enterprise Master Data Management

Enterprise Master Data Management
  • Author : Allen Dreibelbis,Eberhard Hechler,Ivan Milman,Martin Oberhofer,Paul van Run,Dan Wolfson
  • Publisher :Unknown
  • Release Date :2008-06-05
  • Total pages :656
  • ISBN : 9780132704274
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Summary : The Only Complete Technical Primer for MDM Planners, Architects, and Implementers Companies moving toward flexible SOA architectures often face difficult information management and integration challenges. The master data they rely on is often stored and managed in ways that are redundant, inconsistent, inaccessible, non-standardized, and poorly governed. Using Master Data Management (MDM), organizations can regain control of their master data, improve corresponding business processes, and maximize its value in SOA environments. Enterprise Master Data Management provides an authoritative, vendor-independent MDM technical reference for practitioners: architects, technical analysts, consultants, solution designers, and senior IT decisionmakers. Written by the IBM® data management innovators who are pioneering MDM, this book systematically introduces MDM’s key concepts and technical themes, explains its business case, and illuminates how it interrelates with and enables SOA. Drawing on their experience with cutting-edge projects, the authors introduce MDM patterns, blueprints, solutions, and best practices published nowhere else—everything you need to establish a consistent, manageable set of master data, and use it for competitive advantage. Coverage includes How MDM and SOA complement each other Using the MDM Reference Architecture to position and design MDM solutions within an enterprise Assessing the value and risks to master data and applying the right security controls Using PIM-MDM and CDI-MDM Solution Blueprints to address industry-specific information management challenges Explaining MDM patterns as enablers to accelerate consistent MDM deployments Incorporating MDM solutions into existing IT landscapes via MDM Integration Blueprints Leveraging master data as an enterprise asset—bringing people, processes, and technology together with MDM and data governance Best practices in MDM deployment, including data warehouse and SAP integration

Global Implications of Modern Enterprise Information Systems: Technologies and Applications

Global Implications of Modern Enterprise Information Systems: Technologies and Applications
  • Author : Gunasekaran, Angappa
  • Publisher :Unknown
  • Release Date :2008-12-31
  • Total pages :400
  • ISBN : 9781605661476
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Summary : "This book presents useful strategies, techniques, and tools for the successful design, development, and implementation of enterprise information systems"--Provided by publisher.

Handbook of Research on Enterprise Systems

Handbook of Research on Enterprise Systems
  • Author : Gupta, Jatinder N. D.,Sharma, Sushil,Rashid, Mohammad A.
  • Publisher :Unknown
  • Release Date :2009-01-31
  • Total pages :460
  • ISBN : 9781599048604
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Summary : Addresses the field of enterprise systems, covering progressive technologies, leading theories, and advanced applications.

Business Intelligence for the Enterprise

Business Intelligence for the Enterprise
  • Author : Mike Biere
  • Publisher :Unknown
  • Release Date :2003
  • Total pages :222
  • ISBN : 0131413031
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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

Business Intelligence Strategy and Big Data Analytics

Business Intelligence Strategy and Big Data Analytics
  • Author : Steve Williams
  • Publisher :Unknown
  • Release Date :2016-04-08
  • Total pages :240
  • ISBN : 9780128094891
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Summary : 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

Growing Business Intelligence

Growing Business Intelligence
  • Author : Larry Burns
  • Publisher :Unknown
  • Release Date :2016-09-23
  • Total pages :196
  • ISBN : 9781634621496
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Summary : How do we enable our organizations to enjoy the often significant benefits of BI and analytics, while at the same time minimizing the cost and risk of failure? In this book, I am not going to try to be prescriptive; I won’t tell you exactly how to build your BI environment. Instead, I am going to focus on a few core principles that will enable you to navigate the rocky shoals of BI architecture and arrive at a destination best suited for your particular organization. Some of these core principles include: · Have an overarching strategy, plan, and roadmap · Recognize and leverage your existing technology investments · Support both data discovery and data reuse · Keep data in motion, not at rest · Separate information delivery from data storage · Emphasize data transparency over data quality · Take an agile approach to BI development. This book will show you how to successfully navigate both the jungle of BI technology and the minefield of human nature. It will show you how to create a BI architecture and strategy that addresses the needs of all organizational stakeholders. It will show you how to maximize the value of your BI investments. It will show you how to manage the risk of disruptive technology. And it will show you how to use agile methodologies to deliver on the promise of BI and analytics quickly, succinctly, and iteratively. This book is about many things. But principally, it’s about success. The goal of any enterprise initiative is to succeed and to derive benefit—benefit that all stakeholders can share in. I want you to be successful. I want your organization to be successful. This book will show you how. This book is for anyone who is currently or will someday be working on a BI, analytics, or Big Data project, and for organizations that want to get the maximum amount of value from both their data and their BI technology investment. This includes all stakeholders in the BI effort—not just the data people or the IT people, but also the business stakeholders who have the responsibility for the definition and use of data. There are six sections to this book: In Section I, What Kind of Garden Do You Want?, we will examine the benefits and risks of Business Intelligence, making the central point that BI is a business (not IT) process designed to manage data assets in pursuit of enterprise goals. We will show how data, when properly managed and used, can be a key enabler of several types of core business processes. The purpose of this section is to help you define the particular benefit(s) you want from BI. In Section II, Building the Bones, we will talk about how to design and build out the “hardscape” (infrastructure) of your BI environment. This stage of the process involves leveraging existing technology investments and iteratively moving toward your desired target state BI architecture. In Section III, From the Ground Up, we explore the more detailed aspects of implementing your BI operational environment. In Section IV, Weeds, Pests and Critters, we talk about the myriad of things that can go wrong on a BI project, and discuss ways of mitigating these risks. In Section V, The Sustainable Garden, we talk about how to create a BI infrastructure that is easy and inexpensive to maintain. Finally, Section VI presents a case study illustrating the principles of this book, as applied to a fictional manufacturing company (the Blue Moon Guitar Company).

Progressive Methods in Data Warehousing and Business Intelligence: Concepts and Competitive Analytics

Progressive Methods in Data Warehousing and Business Intelligence: Concepts and Competitive Analytics
  • Author : Taniar, David
  • Publisher :Unknown
  • Release Date :2009-02-28
  • Total pages :390
  • ISBN : 9781605662336
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Summary : Provides developments and research, as well as current innovative activities in data warehousing and mining, focusing on the intersection of data warehousing and business intelligence.

Computing Predictive Analytics, Business Intelligence, and Economics

Computing Predictive Analytics, Business Intelligence, and Economics
  • Author : Cyrus F. Nourani
  • Publisher :Unknown
  • Release Date :2019-06-26
  • Total pages :294
  • ISBN : 9780429878718
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Summary : This volume brings together research and system designs that address the scientific basis and the practical systems design issues that support areas ranging from intelligent business interfaces and predictive analytics to economics modeling. Applications for management science and IT have been of interest areas for business schools and computing experts during recent years. Among the areas that are being treated are modern analytics, heterogeneous computing, business intelligence, ERP (enterprise resource planning), and decision science. Consumers have been pledging their love for data visualizations for a while now, and data is the area being explored, such as B2B and EC (E-commerce), E-business and the Intelligent Web, CRM (customer relationship management), infrastructures, and more. The digitization implications of these many new applications are described and explored in this informative volume.

Emerging Engineering Approaches and Applications

Emerging Engineering Approaches and Applications
  • Author : Elwin Mao,Lin Li Xu
  • Publisher :Unknown
  • Release Date :2011-09-09
  • Total pages :430
  • ISBN : 9783038136620
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Summary : This special volume addresses the hottest issues in new engineering approaches and applications. It covers a wide range of topics in this area: including engineering applications, industrial engineering, engineering computational methods, engineering information systems and engineering management, etc. Via this volume, researchers in this field can access cutting-edge information.

Integration of Data Mining in Business Intelligence Systems

Integration of Data Mining in Business Intelligence Systems
  • Author : Azevedo, Ana
  • Publisher :Unknown
  • Release Date :2014-09-30
  • Total pages :314
  • ISBN : 9781466664784
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Summary : Uncovering and analyzing data associated with the current business environment is essential in maintaining a competitive edge. As such, making informed decisions based on this data is crucial to managers across industries. Integration of Data Mining in Business Intelligence Systems investigates the incorporation of data mining into business technologies used in the decision making process. Emphasizing cutting-edge research and relevant concepts in data discovery and analysis, this book is a comprehensive reference source for policymakers, academicians, researchers, students, technology developers, and professionals interested in the application of data mining techniques and practices in business information systems.

Information Security and Auditing in the Digital Age

Information Security and Auditing in the Digital Age
  • Author : Amjad Umar
  • Publisher :Unknown
  • Release Date :2003-12
  • Total pages :444
  • ISBN : 097274147X
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Summary : This book provides a recent and relevant coverage based on a systematic approach. Especially suitable for practitioners and managers, the book has also been classroom tested in IS/IT courses on security. It presents a systematic approach to build total systems solutions that combine policies, procedures, risk analysis, threat assessment through attack trees, honeypots, audits, and commercially available security packages to secure the modern IT assets (applications, databases, hosts, middleware services and platforms) as well as the paths (the wireless plus wired network) to these assets. After covering the security management and technology principles, the book shows how these principles can be used to protect the digital enterprise assets. The emphasis is on modern issues such as e-commerce, e-business and mobile application security; wireless security that includes security of Wi-Fi LANs, cellular networks, satellites, wireless home networks, wireless middleware, and mobile application servers; semantic Web security with a discussion of XML security; Web Services security, SAML (Security Assertion Markup Language)and .NET security; integration of control and audit concepts in establishing a secure environment. Numerous real-life examples and a single case study that is developed throughout the book highlight a case-oriented approach. Complete instructor materials (PowerPoint slides, course outline, project assignments) to support an academic or industrial course are provided. Additional details can be found at the author website (www.amjadumar.com)