Tapping Into Unstructured Data

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Tapping into Unstructured Data

Author : William H. Inmon
Publisher : Pearson Education
ISBN 13 : 0132712911
Total Pages : 362 pages
Book Rating : 4.1/5 (327 download)

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Book Synopsis Tapping into Unstructured Data by : William H. Inmon

Download or read book Tapping into Unstructured Data written by William H. Inmon and published by Pearson Education. This book was released on 2007-12-11 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Definitive Guide to Unstructured Data Management and Analysis--From the World’s Leading Information Management Expert A wealth of invaluable information exists in unstructured textual form, but organizations have found it difficult or impossible to access and utilize it. This is changing rapidly: new approaches finally make it possible to glean useful knowledge from virtually any collection of unstructured data. William H. Inmon--the father of data warehousing--and Anthony Nesavich introduce the next data revolution: unstructured data management. Inmon and Nesavich cover all you need to know to make unstructured data work for your organization. You’ll learn how to bring it into your existing structured data environment, leverage existing analytical infrastructure, and implement textual analytic processing technologies to solve new problems and uncover new opportunities. Inmon and Nesavich introduce breakthrough techniques covered in no other book--including the powerful role of textual integration, new ways to integrate textual data into data warehouses, and new SQL techniques for reading and analyzing text. They also present five chapter-length, real-world case studies--demonstrating unstructured data at work in medical research, insurance, chemical manufacturing, contracting, and beyond. This book will be indispensable to every business and technical professional trying to make sense of a large body of unstructured text: managers, database designers, data modelers, DBAs, researchers, and end users alike. Coverage includes What unstructured data is, and how it differs from structured data First generation technology for handling unstructured data, from search engines to ECM--and its limitations Integrating text so it can be analyzed with a common, colloquial vocabulary: integration engines, ontologies, glossaries, and taxonomies Processing semistructured data: uncovering patterns, words, identifiers, and conflicts Novel processing opportunities that arise when text is freed from context Architecture and unstructured data: Data Warehousing 2.0 Building unstructured relational databases and linking them to structured data Visualizations and Self-Organizing Maps (SOMs), including Compudigm and Raptor solutions Capturing knowledge from spreadsheet data and email Implementing and managing metadata: data models, data quality, and more

Data-Driven HR

Author : Bernard Marr
Publisher : Kogan Page Publishers
ISBN 13 : 1398614572
Total Pages : 241 pages
Book Rating : 4.3/5 (986 download)

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Book Synopsis Data-Driven HR by : Bernard Marr

Download or read book Data-Driven HR written by Bernard Marr and published by Kogan Page Publishers. This book was released on 2023-12-03 with total page 241 pages. Available in PDF, EPUB and Kindle. Book excerpt: How can HR professionals utilize and leverage their organization's data effectively, with the use of AI, for more talent attraction, better employee engagement and higher talent retention to ultimately drive performance? AI is now an integral part of being data-driven. With this updated edition of Data-Driven HR, practitioners can unlock business potential and success through data and analytics. Covering topics such as recruitment, employee engagement, performance management, wellbeing and training, HR practitioners can benefit from knowing how to really be data-driven through the use of data and AI. HR teams will learn how to identify business goals, scrutinize useful sources of data and gain rich and diverse insights from their vast amounts of data. This book brings guidance on how to manage challenges that come with data and AI, as well as how to responsibly and transparently use data to improve decision making. It also includes predictive analytics and how to place warning systems into databases for any potential workforce issues. Packed with practical advice, key takeaways and real-life examples, this is essential reading for all HR professionals looking to make a measurable difference in their organizations.

Automation Conundrum

Author : Sandeep Parikh
Publisher : White Falcon Publishing
ISBN 13 : 1636402593
Total Pages : 106 pages
Book Rating : 4.6/5 (364 download)

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Book Synopsis Automation Conundrum by : Sandeep Parikh

Download or read book Automation Conundrum written by Sandeep Parikh and published by White Falcon Publishing. This book was released on with total page 106 pages. Available in PDF, EPUB and Kindle. Book excerpt: ‘Automation Conundrum’ focuses on the evolutionary stages of intelligent automation starting with RPA. This book gives a view on what these technologies are, where and how to apply them across functions and industry sectors and most importantly how to generate the maximum tangible value for the business. It also gives a perspective around the key challenges, risks and opportunities facing industries and how IA can be leveraged to tackle the same. Although, IA has successfully proven to generate business value it has also raised concerns over safety and security. This book also addresses those concerns viz impact on society, governments and need for regulations. In summary, it gives a new perspective to intelligent automation as a beginning of a journey into the future rather than the end.

Enterprise Data Workflows with Cascading

Author : Paco Nathan
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1449359612
Total Pages : 170 pages
Book Rating : 4.4/5 (493 download)

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Book Synopsis Enterprise Data Workflows with Cascading by : Paco Nathan

Download or read book Enterprise Data Workflows with Cascading written by Paco Nathan and published by "O'Reilly Media, Inc.". This book was released on 2013-07-11 with total page 170 pages. Available in PDF, EPUB and Kindle. Book excerpt: There is an easier way to build Hadoop applications. With this hands-on book, you’ll learn how to use Cascading, the open source abstraction framework for Hadoop that lets you easily create and manage powerful enterprise-grade data processing applications—without having to learn the intricacies of MapReduce. Working with sample apps based on Java and other JVM languages, you’ll quickly learn Cascading’s streamlined approach to data processing, data filtering, and workflow optimization. This book demonstrates how this framework can help your business extract meaningful information from large amounts of distributed data. Start working on Cascading example projects right away Model and analyze unstructured data in any format, from any source Build and test applications with familiar constructs and reusable components Work with the Scalding and Cascalog Domain-Specific Languages Easily deploy applications to Hadoop, regardless of cluster location or data size Build workflows that integrate several big data frameworks and processes Explore common use cases for Cascading, including features and tools that support them Examine a case study that uses a dataset from the Open Data Initiative

Delivering on Digital

Author : William D. Eggers
Publisher : RosettaBooks
ISBN 13 : 079534757X
Total Pages : 267 pages
Book Rating : 4.7/5 (953 download)

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Book Synopsis Delivering on Digital by : William D. Eggers

Download or read book Delivering on Digital written by William D. Eggers and published by RosettaBooks. This book was released on 2016-06-07 with total page 267 pages. Available in PDF, EPUB and Kindle. Book excerpt: The government reform expert and acclaimed author of The Solution Revolution presents a roadmap for navigating the digital government era. In October 2013, HealthCare.gov went live—and promptly crashed. Poor website design was getting in the way of government operations, and the need for digital excellence in public institutions was suddenly crystal clear. Hundreds of the tech industry’s best and brightest dedicated themselves to redesigning the government’s industrial-era frameworks as fully digital systems. But to take Washington into the 21st century, we have to start by imagining a new kind of government. Imagine prison systems that use digital technology to return nonviolent offenders promptly and securely into society. Imagine a veteran’s health care system built around delivering a personalized customer experience for every Vet. We now have the digital tools—such as cloud computing, mobile devices, and analytics—to stage a real transformation. Delivering on Digital provides the handbook to make it happen. A leading authority on government reform, William D. Eggers knows how we can use tech-savvy teams, strong leadership, and innovative practices to reduce the risks and truly achieve a digitally transformed government.

Hands-On Big Data Modeling

Author : James Lee
Publisher : Packt Publishing Ltd
ISBN 13 : 1788626087
Total Pages : 293 pages
Book Rating : 4.7/5 (886 download)

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Book Synopsis Hands-On Big Data Modeling by : James Lee

Download or read book Hands-On Big Data Modeling written by James Lee and published by Packt Publishing Ltd. This book was released on 2018-11-30 with total page 293 pages. Available in PDF, EPUB and Kindle. Book excerpt: Solve all big data problems by learning how to create efficient data models Key FeaturesCreate effective models that get the most out of big dataApply your knowledge to datasets from Twitter and weather data to learn big dataTackle different data modeling challenges with expert techniques presented in this bookBook Description Modeling and managing data is a central focus of all big data projects. In fact, a database is considered to be effective only if you have a logical and sophisticated data model. This book will help you develop practical skills in modeling your own big data projects and improve the performance of analytical queries for your specific business requirements. To start with, you’ll get a quick introduction to big data and understand the different data modeling and data management platforms for big data. Then you’ll work with structured and semi-structured data with the help of real-life examples. Once you’ve got to grips with the basics, you’ll use the SQL Developer Data Modeler to create your own data models containing different file types such as CSV, XML, and JSON. You’ll also learn to create graph data models and explore data modeling with streaming data using real-world datasets. By the end of this book, you’ll be able to design and develop efficient data models for varying data sizes easily and efficiently. What you will learnGet insights into big data and discover various data modelsExplore conceptual, logical, and big data modelsUnderstand how to model data containing different file typesRun through data modeling with examples of Twitter, Bitcoin, IMDB and weather data modelingCreate data models such as Graph Data and Vector SpaceModel structured and unstructured data using Python and RWho this book is for This book is great for programmers, geologists, biologists, and every professional who deals with spatial data. If you want to learn how to handle GIS, GPS, and remote sensing data, then this book is for you. Basic knowledge of R and QGIS would be helpful.

The Intelligent Enterprise in the Era of Big Data

Author : Venkat Srinivasan
Publisher : John Wiley & Sons
ISBN 13 : 1118834690
Total Pages : 216 pages
Book Rating : 4.1/5 (188 download)

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Book Synopsis The Intelligent Enterprise in the Era of Big Data by : Venkat Srinivasan

Download or read book The Intelligent Enterprise in the Era of Big Data written by Venkat Srinivasan and published by John Wiley & Sons. This book was released on 2016-09-08 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: “ ... the enterprise of today has changed ... wherever you sit in this new corporation ... Srinivasan gives us a practical and provocative guide for rethinking our business process ... calling us all to action around rapid development of our old, hierarchical structures into flexible customer centric competitive force .... A must read for today’s business leader.” Mark Nunnelly, Executive Director, MassIT, Commonwealth of Massachusetts and Managing Director, Bain Capital “’Efficiency,’ ‘agile,’ and ‘analytics’ used to be the rage. Venkat Srinivasan explains in this provocative book why organizations can no longer afford to stop there. They need to move beyond – to be ‘intelligent.’ It isn’t just theory. He’s done it.” Bharat Anand, Henry R. Byers Professor of Business Administration, Harvard Business School In the era of big data and automation, the book presents a cutting-edge approach to how enterprises should organize and function. Striking a practical balance between theory and practice, The Intelligent Enterprise in the Era of Big Data presents the enterprise architecture that identifies the power of the emerging technology environment. Beginning with an introduction to the key challenges that enterprises face, the book systematically outlines modern enterprise architecture through a detailed discussion of the inseparable elements of such architecture: efficiency, flexibility, and intelligence. This architecture enables rapid responses to market needs by sensing important developments in internal and external environments in real time. Illustrating all of these elements in an integrated fashion, The Intelligent Enterprise in the Era of Big Data also features: • A detailed discussion on issues of time-to-market and flexibility with respect to enterprise application technology • Novel analyses illustrated through extensive real-world case studies to help readers better understand the applicability of the architecture and concepts • Various applications of natural language processing to real-world business transactions • Practical approaches for designing and building intelligent enterprises The Intelligent Enterprise in the Era of Big Data is an appropriate reference for business executives, information technology professionals, data scientists, and management consultants. The book is also an excellent supplementary textbook for upper-undergraduate and graduate-level courses in business intelligence, data mining, big data, and business process automation. “a compelling vision of the next generation of organization—the intelligent enterprise—which will leverage not just big data but also unstructured text and artificial intelligence to optimize internal processes in real time ... a must-read book for CEOs and CTOs in all industries.” Ravi Ramamurti, D”Amore-McKim Distinguished Professor of International Business and Strategy, and Director, Center for Emerging Markets, Northeastern University “It is about the brave new world that narrows the gap between technology and business .... The book has practical advice from a thoughtful practitioner. Intelligent automation will be a competitive strength in the future. Will your company be ready?” Victor J. Menezes, Retired Senior Vice Chairman, Citigroup Venkat Srinivasan, PhD, is Chairman and Chief Executive Officer of RAGE Frameworks, Inc., which supports the creation of intelligent business process automation solutions and cognitive intelligence solutions for global corporations. He is an entrepreneur and holds several patents in the area of knowledge-based technology architectures. He is t

Data Strategy

Author : Bernard Marr
Publisher : Kogan Page Publishers
ISBN 13 : 0749479868
Total Pages : 201 pages
Book Rating : 4.7/5 (494 download)

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Book Synopsis Data Strategy by : Bernard Marr

Download or read book Data Strategy written by Bernard Marr and published by Kogan Page Publishers. This book was released on 2017-04-03 with total page 201 pages. Available in PDF, EPUB and Kindle. Book excerpt: BRONZE RUNNER UP: Axiom Awards 2018 - Business Technology Category Less than 0.5 per cent of all data is currently analyzed and used. However, business leaders and managers cannot afford to be unconcerned or sceptical about data. Data is revolutionizing the way we work and it is the companies that view data as a strategic asset that will survive and thrive. Data Strategy is a must-have guide to creating a robust data strategy. Explaining how to identify your strategic data needs, what methods to use to collect the data and, most importantly, how to translate your data into organizational insights for improved business decision-making and performance, this is essential reading for anyone aiming to leverage the value of their business data and gain competitive advantage. Packed with case studies and real-world examples, advice on how to build data competencies in an organization and crucial coverage of how to ensure your data doesn't become a liability, Data Strategy will equip any organization with the tools and strategies it needs to profit from Big Data, analytics and the Internet of Things (IoT).

RISE with SAP towards a Sustainable Enterprise

Author : Adil Zafar
Publisher : Packt Publishing Ltd
ISBN 13 : 1801819815
Total Pages : 467 pages
Book Rating : 4.8/5 (18 download)

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Book Synopsis RISE with SAP towards a Sustainable Enterprise by : Adil Zafar

Download or read book RISE with SAP towards a Sustainable Enterprise written by Adil Zafar and published by Packt Publishing Ltd. This book was released on 2023-02-10 with total page 467 pages. Available in PDF, EPUB and Kindle. Book excerpt: Get insights and guidance on various challenges within the industry and what business levers you can consider to effortlessly lead your business transformation through RISE with SAP Purchase of the print or Kindle book includes a free PDF eBook Key FeaturesGain actionable insights into end-to-end process performance with process analyticsScale performance and reliability to accelerate your journey to the cloud and beyondGet a clear overview of the enabling tools and services you can leverage for the transformationBook Description If you're unsure whether adopting SAP S/4HANA is the right move for your enterprise, then this book is for you. This practical and comprehensive guide will help you determine your next steps toward building a business case, while preparing you for all the possible scenarios and enabling you to make informed decisions during implementation. RISEwith SAP toward a Sustainable Enterprise is packed with clear and detailed advice, including a run-through of what it takes to design the landscape using RISE with SAP. As you go through the chapters, you'll get a solid understanding of precisely what services are available (such as Process Discovery, data migration, the fit-to-standard approach), and which scope items on RISE with SAP should be considered, allowing you to make the most of RISE with the SAP-based model. Finally, you'll get an overview of different industry-based use cases and how they can be brought to reality with the platform that's set up on the RISE with SAP offering. By the end of this book, you'll be able to build a detailed business case to determine if RISE with SAP is the right transformation engine for you, along with a clear idea of optimized landscape design on RISE with SAP that addresses the pain points for your implementation and support activities. What you will learnUnderstand the challenges faced by organizations and CXOs with the emerging market trendsKnow what to consider when creating a business case for RISE with SAPExplore deployment options within RISE with SAP and other functional and non-functional servicesUnderstand optimized landscape design on RISE with SAP along with effective implementation and supportTake the optimum approach in adopting S/4HANA with levers like Process Discovery, testing, and automationDiscover possibilities when dealing with SAP, the vendor ecosystem, and cloud products driven by industriesWho this book is for This book is for CXOs and solutions and enterprise architects who've been working in the SAP ecosystem and want practical and concise advice on how to get up and running with the adoption of S/4HANA by leveraging RISE with SAP as the enabling engine. This book is also for professionals working toward creating a business case and trying to identify all possible best practices around the adoption of RISE with SAP and associated industry use cases. Prior experience with either SAP or a different ERP will help you get the most out of this book.

Unstructured Data Analytics

Author : Jean Paul Isson
Publisher : John Wiley & Sons
ISBN 13 : 1119325501
Total Pages : 432 pages
Book Rating : 4.1/5 (193 download)

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Book Synopsis Unstructured Data Analytics by : Jean Paul Isson

Download or read book Unstructured Data Analytics written by Jean Paul Isson and published by John Wiley & Sons. This book was released on 2018-03-02 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: Turn unstructured data into valuable business insight Unstructured Data Analytics provides an accessible, non-technical introduction to the analysis of unstructured data. Written by global experts in the analytics space, this book presents unstructured data analysis (UDA) concepts in a practical way, highlighting the broad scope of applications across industries, companies, and business functions. The discussion covers key aspects of UDA implementation, beginning with an explanation of the data and the information it provides, then moving into a holistic framework for implementation. Case studies show how real-world companies are leveraging UDA in security and customer management, and provide clear examples of both traditional business applications and newer, more innovative practices. Roughly 80 percent of today's data is unstructured in the form of emails, chats, social media, audio, and video. These data assets contain a wealth of valuable information that can be used to great advantage, but accessing that data in a meaningful way remains a challenge for many companies. This book provides the baseline knowledge and the practical understanding companies need to put this data to work. Supported by research with several industry leaders and packed with frontline stories from leading organizations such as Google, Amazon, Spotify, LinkedIn, Pfizer Manulife, AXA, Monster Worldwide, Under Armour, the Houston Rockets, DELL, IBM, and SAS Institute, this book provide a framework for building and implementing a successful UDA center of excellence. You will learn: How to increase Customer Acquisition and Customer Retention with UDA The Power of UDA for Fraud Detection and Prevention The Power of UDA in Human Capital Management & Human Resource The Power of UDA in Health Care and Medical Research The Power of UDA in National Security The Power of UDA in Legal Services The Power of UDA for product development The Power of UDA in Sports The future of UDA From small businesses to large multinational organizations, unstructured data provides the opportunity to gain consumer information straight from the source. Data is only as valuable as it is useful, and a robust, effective UDA strategy is the first step toward gaining the full advantage. Unstructured Data Analytics lays this space open for examination, and provides a solid framework for beginning meaningful analysis.

Handbook of Research on Applied AI for International Business and Marketing Applications

Author : Christiansen, Bryan
Publisher : IGI Global
ISBN 13 : 1799850781
Total Pages : 702 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Handbook of Research on Applied AI for International Business and Marketing Applications by : Christiansen, Bryan

Download or read book Handbook of Research on Applied AI for International Business and Marketing Applications written by Christiansen, Bryan and published by IGI Global. This book was released on 2020-09-25 with total page 702 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence (AI) describes machines/computers that mimic cognitive functions that humans associate with other human minds, such as learning and problem solving. As businesses have evolved to include more automation of processes, it has become more vital to understand AI and its various applications. Additionally, it is important for workers in the marketing industry to understand how to coincide with and utilize these techniques to enhance and make their work more efficient. The Handbook of Research on Applied AI for International Business and Marketing Applications is a critical scholarly publication that provides comprehensive research on artificial intelligence applications within the context of international business. Highlighting a wide range of topics such as diversification, risk management, and artificial intelligence, this book is ideal for marketers, business professionals, academicians, practitioners, researchers, and students.

Perspectives on Data Science for Software Engineering

Author : Tim Menzies
Publisher : Morgan Kaufmann
ISBN 13 : 0128042613
Total Pages : 408 pages
Book Rating : 4.1/5 (28 download)

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Book Synopsis Perspectives on Data Science for Software Engineering by : Tim Menzies

Download or read book Perspectives on Data Science for Software Engineering written by Tim Menzies and published by Morgan Kaufmann. This book was released on 2016-07-14 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt: Perspectives on Data Science for Software Engineering presents the best practices of seasoned data miners in software engineering. The idea for this book was created during the 2014 conference at Dagstuhl, an invitation-only gathering of leading computer scientists who meet to identify and discuss cutting-edge informatics topics. At the 2014 conference, the concept of how to transfer the knowledge of experts from seasoned software engineers and data scientists to newcomers in the field highlighted many discussions. While there are many books covering data mining and software engineering basics, they present only the fundamentals and lack the perspective that comes from real-world experience. This book offers unique insights into the wisdom of the community’s leaders gathered to share hard-won lessons from the trenches. Ideas are presented in digestible chapters designed to be applicable across many domains. Topics included cover data collection, data sharing, data mining, and how to utilize these techniques in successful software projects. Newcomers to software engineering data science will learn the tips and tricks of the trade, while more experienced data scientists will benefit from war stories that show what traps to avoid. Presents the wisdom of community experts, derived from a summit on software analytics Provides contributed chapters that share discrete ideas and technique from the trenches Covers top areas of concern, including mining security and social data, data visualization, and cloud-based data Presented in clear chapters designed to be applicable across many domains

Databases in Networked Information Systems

Author : Shinji Kikuchi
Publisher : Springer Science & Business Media
ISBN 13 : 3642120377
Total Pages : 346 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Databases in Networked Information Systems by : Shinji Kikuchi

Download or read book Databases in Networked Information Systems written by Shinji Kikuchi and published by Springer Science & Business Media. This book was released on 2010-03-25 with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 6th International Workshop on Databases in Networked Information Systems, DNIS 2010, held in Aizu-Wakamatsu, Japan in October 2010. The 13 revised full papers presented together with 9 invited talks and 1 keynote lecture were carefully reviewed and selected for inclusion in the book. The workshop generally puts the main focus on data semantics and infrastructure for information management and interchange. The papers are organized in topical sections on networked information systems: infrastructure, access to information resources, information and knowledge management systems, information extraction from data resources, and geo-spatial decision making.

Multidimensional Databases and Data Warehousing

Author : Christian Jensen
Publisher : Morgan & Claypool Publishers
ISBN 13 : 1608455386
Total Pages : 112 pages
Book Rating : 4.6/5 (84 download)

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Book Synopsis Multidimensional Databases and Data Warehousing by : Christian Jensen

Download or read book Multidimensional Databases and Data Warehousing written by Christian Jensen and published by Morgan & Claypool Publishers. This book was released on 2010-05-05 with total page 112 pages. Available in PDF, EPUB and Kindle. Book excerpt: The present book's subject is multidimensional data models and data modeling concepts as they are applied in real data warehouses. The book aims to present the most important concepts within this subject in a precise and understandable manner. The book's coverage of fundamental concepts includes data cubes and their elements, such as dimensions, facts, and measures and their representation in a relational setting; it includes architecture-related concepts; and it includes the querying of multidimensional databases. The book also covers advanced multidimensional concepts that are considered to be particularly important. This coverage includes advanced dimension-related concepts such as slowly changing dimensions, degenerate and junk dimensions, outriggers, parent-child hierarchies, and unbalanced, non-covering, and non-strict hierarchies. The book offers a principled overview of key implementation techniques that are particularly important to multidimensional databases, including materialized views, bitmap indices, join indices, and star join processing. The book ends with a chapter that presents the literature on which the book is based and offers further readings for those readers who wish to engage in more in-depth study of specific aspects of the book's subject. Table of Contents: Introduction / Fundamental Concepts / Advanced Concepts / Implementation Issues / Further Readings

Data Science Advancements in Pandemic and Outbreak Management

Author : Asimakopoulou, Eleana
Publisher : IGI Global
ISBN 13 : 1799867382
Total Pages : 255 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Data Science Advancements in Pandemic and Outbreak Management by : Asimakopoulou, Eleana

Download or read book Data Science Advancements in Pandemic and Outbreak Management written by Asimakopoulou, Eleana and published by IGI Global. This book was released on 2021-04-09 with total page 255 pages. Available in PDF, EPUB and Kindle. Book excerpt: Pandemics are disruptive. Thus, there is a need to prepare and plan actions in advance for identifying, assessing, and responding to such events to manage uncertainty and support sustainable livelihood and wellbeing. A detailed assessment of a continuously evolving situation needs to take place, and several aspects must be brought together and examined before the declaration of a pandemic even happens. Various health organizations; crisis management bodies; and authorities at local, national, and international levels are involved in the management of pandemics. There is no better time to revisit current approaches to cope with these new and unforeseen threats. As countries must strike a fine balance between protecting health, minimizing economic and social disruption, and respecting human rights, there has been an emerging interest in lessons learned and specifically in revisiting past and current pandemic approaches. Such approaches involve strategies and practices from several disciplines and fields including healthcare, management, IT, mathematical modeling, and data science. Using data science to advance in-situ practices and prompt future directions could help alleviate or even prevent human, financial, and environmental compromise, and loss and social interruption via state-of-the-art technologies and frameworks. Data Science Advancements in Pandemic and Outbreak Management demonstrates how strategies and state-of-the-art IT have and/or could be applied to serve as the vehicle to advance pandemic and outbreak management. The chapters will introduce both technical and non-technical details of management strategies and advanced IT, data science, and mathematical modelling and demonstrate their applications and their potential utilization within the identification and management of pandemics and outbreaks. It also prompts revisiting and critically reviewing past and current approaches, identifying good and bad practices, and further developing the area for future adaptation. This book is ideal for data scientists, data analysts, infectious disease experts, researchers studying pandemics and outbreaks, IT, crisis and disaster management, academics, practitioners, government officials, and students interested in applicable theories and practices in data science to mitigate, prepare for, respond to, and recover from future pandemics and outbreaks.

Perspectives on Business Intelligence

Author : Raymond T. Ng
Publisher : Springer Nature
ISBN 13 : 3031018486
Total Pages : 151 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Perspectives on Business Intelligence by : Raymond T. Ng

Download or read book Perspectives on Business Intelligence written by Raymond T. Ng and published by Springer Nature. This book was released on 2022-05-31 with total page 151 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the 1980s, traditional Business Intelligence (BI) systems focused on the delivery of reports that describe the state of business activities in the past, such as for questions like "How did our sales perform during the last quarter?" A decade later, there was a shift to more interactive content that presented how the business was performing at the present time, answering questions like "How are we doing right now?" Today the focus of BI users are looking into the future. "Given what I did before and how I am currently doing this quarter, how will I do next quarter?" Furthermore, fuelled by the demands of Big Data, BI systems are going through a time of incredible change. Predictive analytics, high volume data, unstructured data, social data, mobile, consumable analytics, and data visualization are all examples of demands and capabilities that have become critical within just the past few years, and are growing at an unprecedented pace. This book introduces research problems and solutions on various aspects central to next-generation BI systems. It begins with a chapter on an industry perspective on how BI has evolved, and discusses how game-changing trends have drastically reshaped the landscape of BI. One of the game changers is the shift toward the consumerization of BI tools. As a result, for BI tools to be successfully used by business users (rather than IT departments), the tools need a business model, rather than a data model. One chapter of the book surveys four different types of business modeling. However, even with the existence of a business model for users to express queries, the data that can meet the needs are still captured within a data model. The next chapter on vivification addresses the problem of closing the gap, which is often significant, between the business and the data models. Moreover, Big Data forces BI systems to integrate and consolidate multiple, and often wildly different, data sources. One chapter gives an overview of several integration architectures for dealing with the challenges that need to be overcome. While the book so far focuses on the usual structured relational data, the remaining chapters turn to unstructured data, an ever-increasing and important component of Big Data. One chapter on information extraction describes methods for dealing with the extraction of relations from free text and the web. Finally, BI users need tools to visualize and interpret new and complex types of information in a way that is compelling, intuitive, but accurate. The last chapter gives an overview of information visualization for decision support and text.

Interactive Data Visualization

Author : Matthew O. Ward
Publisher : CRC Press
ISBN 13 : 1482257386
Total Pages : 578 pages
Book Rating : 4.4/5 (822 download)

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Book Synopsis Interactive Data Visualization by : Matthew O. Ward

Download or read book Interactive Data Visualization written by Matthew O. Ward and published by CRC Press. This book was released on 2015-06-11 with total page 578 pages. Available in PDF, EPUB and Kindle. Book excerpt: An Updated Guide to the Visualization of Data for Designers, Users, and Researchers Interactive Data Visualization: Foundations, Techniques, and Applications, Second Edition provides all the theory, details, and tools necessary to build visualizations and systems involving the visualization of data. In color throughout, it explains basic terminology and concepts, algorithmic and software engineering issues, and commonly used techniques and high-level algorithms. Full source code is provided for completing implementations. New to the Second Edition New related readings, exercises, and programming projects Better quality figures and numerous new figures New chapter on techniques for time-oriented data This popular book continues to explore the fundamental components of the visualization process, from the data to the human viewer. For developers, the book offers guidance on designing effective visualizations using methods derived from human perception, graphical design, art, and usability analysis. For practitioners, it shows how various public and commercial visualization systems are used to solve specific problems in diverse domains. For researchers, the text describes emerging technology and hot topics in development at academic and industrial centers today. Each chapter presents several types of exercises, including review questions and problems that motivate readers to build on the material covered and design alternate approaches to solving a problem. In addition, programming projects encourage readers to perform a range of tasks, from the simple implementation of algorithms to the extension of algorithms and programming techniques. Web Resource A supplementary website includes downloadable software tools and example data sets, enabling hands-on experience with the techniques covered in the text. The site also offers links to useful data repositories and data file formats, an up-to-date listing of software packages and vendors, and instructional tools, such as reading lists, lecture slides, and demonstration programs.