Modern Enterprise Business Intelligence and Data Management

Modern Enterprise Business Intelligence and Data Management
Author: Alan Simon
Publsiher: Morgan Kaufmann
Total Pages: 96
Release: 2014-08-28
ISBN 10: 0128017457
ISBN 13: 9780128017456
Language: EN, FR, DE, ES & NL

Modern Enterprise Business Intelligence and Data Management Book Review:

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

Integration of Data Mining in Business Intelligence Systems

Integration of Data Mining in Business Intelligence Systems
Author: Azevedo, Ana
Publsiher: IGI Global
Total Pages: 314
Release: 2014-09-30
ISBN 10: 1466664789
ISBN 13: 9781466664784
Language: EN, FR, DE, ES & NL

Integration of Data Mining in Business Intelligence Systems Book Review:

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.

The New Era of Enterprise Business Intelligence

The New Era of Enterprise Business Intelligence
Author: Mike Biere
Publsiher: Pearson Education
Total Pages: 320
Release: 2010-08-15
ISBN 10: 0132100614
ISBN 13: 9780132100618
Language: EN, FR, DE, ES & NL

The New Era of Enterprise Business Intelligence Book Review:

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

Modern Data Strategy

Modern Data Strategy
Author: Mike Fleckenstein,Lorraine Fellows
Publsiher: Springer
Total Pages: 263
Release: 2018-03-13
ISBN 10: 3319689932
ISBN 13: 9783319689937
Language: EN, FR, DE, ES & NL

Modern Data Strategy Book Review:

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.

Effective Business Intelligence with QuickSight

Effective Business Intelligence with QuickSight
Author: Rajesh Nadipalli
Publsiher: Packt Publishing Ltd
Total Pages: 262
Release: 2017-03-10
ISBN 10: 1786465000
ISBN 13: 9781786465009
Language: EN, FR, DE, ES & NL

Effective Business Intelligence with QuickSight Book Review:

From data to actionable business insights using Amazon QuickSight! About This Book A practical hands-on guide to improving your business with the power of BI and Quicksight Immerse yourself with an end-to-end journey for effective analytics using QuickSight and related services Packed with real-world examples with Solution Architectures needed for a cloud-powered Business Intelligence service Who This Book Is For This book is for Business Intelligence architects, BI developers, Big Data architects, and IT executives who are looking to modernize their business intelligence architecture and deliver a fast, easy-to-use, cloud powered business intelligence service. What You Will Learn Steps to test drive QuickSight and see how it fits in AWS big data eco system Load data from various sources such as S3, RDS, Redshift, Athena, and SalesForce and visualize using QuickSight Understand how to prepare data using QuickSight without the need of an IT developer Build interactive charts, reports, dashboards, and storyboards using QuickSight Access QuickSight using the mobile application Architect and design for AWS Data Lake Solution, leveraging AWS hosted services Build a big data project with step-by-step instructions for data collection, cataloguing, and analysis Secure your data used for QuickSight from S3, RedShift, and RDS instances Manage users, access controls, and SPICE capacity In Detail Amazon QuickSight is the next-generation Business Intelligence (BI) cloud service that can help you build interactive visualizations on top of various data sources hosted on Amazon Cloud Infrastructure. QuickSight delivers responsive insights into big data and enables organizations to quickly democratize data visualizations and scale to hundreds of users at a fraction of the cost when compared to traditional BI tools. This book begins with an introduction to Amazon QuickSight, feature differentiators from traditional BI tools, and how it fits in the overall AWS big data ecosystem. With practical examples, you will find tips and techniques to load your data to AWS, prepare it, and finally visualize it using QuickSight. You will learn how to build interactive charts, reports, dashboards, and stories using QuickSight and share with others using just your browser and mobile app. The book also provides a blueprint to build a real-life big data project on top of AWS Data Lake Solution and demonstrates how to build a modern data lake on the cloud with governance, data catalog, and analysis. It reviews the current product shortcomings, features in the roadmap, and how to provide feedback to AWS. Grow your profits, improve your products, and beat your competitors. Style and approach This book takes a fast-paced, example-driven approach to demonstrate the power of QuickSight to improve your business' efficiency. Every chapter is accompanied with a use case that shows the practical implementation of the step being explained.

Enterprise Business Intelligence and Data Warehousing

Enterprise Business Intelligence and Data Warehousing
Author: Alan Simon
Publsiher: Morgan Kaufmann
Total Pages: 100
Release: 2014-11-24
ISBN 10: 0128017465
ISBN 13: 9780128017463
Language: EN, FR, DE, ES & NL

Enterprise Business Intelligence and Data Warehousing Book Review:

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.

Healthcare Business Intelligence Website

Healthcare Business Intelligence    Website
Author: Laura Madsen
Publsiher: John Wiley & Sons
Total Pages: 336
Release: 2012-09-04
ISBN 10: 1118217802
ISBN 13: 9781118217801
Language: EN, FR, DE, ES & NL

Healthcare Business Intelligence Website Book Review:

Solid business intelligence guidance uniquely designed for healthcare organizations Increasing regulatory pressures on healthcare organizations have created a national conversation on data, reporting and analytics in healthcare. Behind the scenes, business intelligence (BI) and data warehousing (DW) capabilities are key drivers that empower these functions. Healthcare Business Intelligence is designed as a guidebook for healthcare organizations dipping their toes into the areas of business intelligence and data warehousing. This volume is essential in how a BI capability can ease the increasing regulatory reporting pressures on all healthcare organizations. Explores the five tenets of healthcare business intelligence Offers tips for creating a BI team Identifies what healthcare organizations should focus on first Shows you how to gain support for your BI program Provides tools and techniques that will jump start your BI Program Explains how to market and maintain your BI Program The risk associated with doing BI/DW wrong is high, and failures are well documented. Healthcare Business Intelligence helps you get it right, with expert guidance on getting your BI program started and successfully keep it going.

Business Intelligence Concepts Methodologies Tools and Applications

Business Intelligence  Concepts  Methodologies  Tools  and Applications
Author: Management Association, Information Resources
Publsiher: IGI Global
Total Pages: 2284
Release: 2015-12-29
ISBN 10: 1466695633
ISBN 13: 9781466695634
Language: EN, FR, DE, ES & NL

Business Intelligence Concepts Methodologies Tools and Applications Book Review:

Data analysis is an important part of modern business administration, as efficient compilation of information allows managers and business leaders to make the best decisions for the financial solvency of their organizations. Understanding the use of analytics, reporting, and data mining in everyday business environments is imperative to the success of modern businesses. Business Intelligence: Concepts, Methodologies, Tools, and Applications presents a comprehensive examination of business data analytics along with case studies and practical applications for businesses in a variety of fields and corporate arenas. Focusing on topics and issues such as critical success factors, technology adaptation, agile development approaches, fuzzy logic tools, and best practices in business process management, this multivolume reference is of particular use to business analysts, investors, corporate managers, and entrepreneurs in a variety of prominent industries.

Business Intelligence for Telecommunications

Business Intelligence for Telecommunications
Author: Deepak Pareek
Publsiher: CRC Press
Total Pages: 312
Release: 2006-11-29
ISBN 10: 9780849387913
ISBN 13: 0849387914
Language: EN, FR, DE, ES & NL

Business Intelligence for Telecommunications Book Review:

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

Business Intelligence for the Enterprise

Business Intelligence for the Enterprise
Author: Mike Biere
Publsiher: Prentice Hall Professional
Total Pages: 222
Release: 2003
ISBN 10: 9780131413030
ISBN 13: 0131413031
Language: EN, FR, DE, ES & NL

Business Intelligence for the Enterprise Book Review:

* *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

Successful Business Intelligence Second Edition

Successful Business Intelligence  Second Edition
Author: Cindi Howson
Publsiher: McGraw Hill Professional
Total Pages: 336
Release: 2013-11-05
ISBN 10: 007180918X
ISBN 13: 9780071809184
Language: EN, FR, DE, ES & NL

Successful Business Intelligence Second Edition Book Review:

Expanded to cover the latest in business intelligence-big data, cloud, mobile, visual data discovery, and in-memory, this fully updated bestseller by BI guru Cindi Howson provides the most modern techniques to exploit BI for the highest ROI.

Navigating the Labyrinth

Navigating the Labyrinth
Author: Laura Sebastian-Coleman
Publsiher: Technics Publications
Total Pages: 208
Release: 2018-05-09
ISBN 10: 1634623770
ISBN 13: 9781634623773
Language: EN, FR, DE, ES & NL

Navigating the Labyrinth Book Review:

An Executive Guide to Data Management

Information Quality and Governance for Business Intelligence

Information Quality and Governance for Business Intelligence
Author: Yeoh, William
Publsiher: IGI Global
Total Pages: 478
Release: 2013-12-31
ISBN 10: 1466648937
ISBN 13: 9781466648937
Language: EN, FR, DE, ES & NL

Information Quality and Governance for Business Intelligence Book Review:

Business intelligence initiatives have been dominating the technology priority list of many organizations. However, the lack of effective information quality and governance strategies and policies has been meeting these initiatives with some challenges. Information Quality and Governance for Business Intelligence presents the latest exchange of academic research on all aspects of practicing and managing information using a multidisciplinary approach that examines its quality for organizational growth. This book is an essential reference tool for researchers, practitioners, and university students specializing in business intelligence, information quality, and information systems.

Enterprise Master Data Management

Enterprise Master Data Management
Author: Allen Dreibelbis,Eberhard Hechler,Ivan Milman,Martin Oberhofer,Paul van Run,Dan Wolfson
Publsiher: Pearson Education
Total Pages: 656
Release: 2008-06-05
ISBN 10: 0132704277
ISBN 13: 9780132704274
Language: EN, FR, DE, ES & NL

Enterprise Master Data Management Book Review:

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

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
Publsiher: Springer
Total Pages: 270
Release: 2019-05-11
ISBN 10: 3030198618
ISBN 13: 9783030198619
Language: EN, FR, DE, ES & NL

Recent Advances in Information and Communication Technology 2019 Book Review:

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.

Business Intelligence

Business Intelligence
Author: David Loshin
Publsiher: Elsevier
Total Pages: 270
Release: 2003-07-10
ISBN 10: 9780080500546
ISBN 13: 0080500544
Language: EN, FR, DE, ES & NL

Business Intelligence Book Review:

Business Intelligence describes the basic architectural components of a business intelligence environment, ranging from traditional topics such as business process modeling, data modeling, and more modern topics such as business rule systems, data profiling, information compliance and data quality, data warehousing, and data mining. This book progresses through a logical sequence, starting with data model infrastructure, then data preparation, followed by data analysis, integration, knowledge discovery, and finally the actual use of discovered knowledge. The book contains a quick reference guide for business intelligence terminology. Business Intelligence is part of Morgan Kaufmann's Savvy Manager's Guide series. * Provides clear explanations without technical jargon, followed by in-depth descriptions. * Articulates the business value of new technology, while providing relevant introductory technical background. * Contains a handy quick-reference to technologies and terminologies. * Guides managers through developing, administering, or simply understanding business intelligence technology. * Bridges the business-technical gap. * Is Web enhanced. Companion sites to the book and series provide value-added information, links, discussions, and more.

Applying Business Intelligence Initiatives in Healthcare and Organizational Settings

Applying Business Intelligence Initiatives in Healthcare and Organizational Settings
Author: Miah, Shah J.,Yeoh, William
Publsiher: IGI Global
Total Pages: 384
Release: 2018-07-13
ISBN 10: 1522557199
ISBN 13: 9781522557197
Language: EN, FR, DE, ES & NL

Applying Business Intelligence Initiatives in Healthcare and Organizational Settings Book Review:

Data analysis is an important part of modern business administration, as efficient compilation of information allows managers and business leaders to make the best decisions for the financial solvency of their organizations. Understanding the use of analytics, reporting, and data mining in everyday business environments is imperative to the success of modern businesses. Applying Business Intelligence Initiatives in Healthcare and Organizational Settings incorporates emerging concepts, methods, models, and relevant applications of business intelligence systems within problem contexts of healthcare and other organizational boundaries. Featuring coverage on a broad range of topics such as rise of embedded analytics, competitive advantage, and strategic capability, this book is ideally designed for business analysts, investors, corporate managers, and entrepreneurs seeking to advance their understanding and practice of business intelligence.

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
Publsiher: Springer Science & Business Media
Total Pages: 337
Release: 2010-11-16
ISBN 10: 3642172253
ISBN 13: 9783642172250
Language: EN, FR, DE, ES & NL

From Active Data Management to Event Based Systems and More Book Review:

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 Enterprise Big Data Lake

The Enterprise Big Data Lake
Author: Alex Gorelik
Publsiher: "O'Reilly Media, Inc."
Total Pages: 224
Release: 2019-02-21
ISBN 10: 1491931507
ISBN 13: 9781491931509
Language: EN, FR, DE, ES & NL

The Enterprise Big Data Lake Book Review:

The data lake is a daring new approach for harnessing the power of big data technology and providing convenient self-service capabilities. But is it right for your company? This book is based on discussions with practitioners and executives from more than a hundred organizations, ranging from data-driven companies such as Google, LinkedIn, and Facebook, to governments and traditional corporate enterprises. You’ll learn what a data lake is, why enterprises need one, and how to build one successfully with the best practices in this book. Alex Gorelik, CTO and founder of Waterline Data, explains why old systems and processes can no longer support data needs in the enterprise. Then, in a collection of essays about data lake implementation, you’ll examine data lake initiatives, analytic projects, experiences, and best practices from data experts working in various industries. Get a succinct introduction to data warehousing, big data, and data science Learn various paths enterprises take to build a data lake Explore how to build a self-service model and best practices for providing analysts access to the data Use different methods for architecting your data lake Discover ways to implement a data lake from experts in different industries

Business Intelligence in the Digital Economy Opportunities Limitations and Risks

Business Intelligence in the Digital Economy  Opportunities  Limitations and Risks
Author: Raisinghani, Mahesh S.
Publsiher: IGI Global
Total Pages: 304
Release: 2003-07-01
ISBN 10: 1591402077
ISBN 13: 9781591402077
Language: EN, FR, DE, ES & NL

Business Intelligence in the Digital Economy Opportunities Limitations and Risks Book Review:

Business Intelligence in the Digital Economy: Opportunities, Limitations and Risks describes business intelligence (BI), how it is being conducted and managed and its major opportunities, limitations, issues and risks. This book takes an in-depth look at the scope of global technological change and BI. During this transition to BI, information does not merely add efficiency to the transaction; it adds value. This book brings together high quality expository discussions from experts in this field to identify, define, and explore BI methodologies, systems, and approaches in order to understand the opportunities, limitations and risks.