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Principles And Practice Of Big Data

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Big Data

Big Data Book
Author : Nathan Marz,James Warren
Publisher : Manning Publications Company
Release : 2015
ISBN : 9781617290343
Language : En, Es, Fr & De

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Book Description :

Summary Big Data teaches you to build big data systems using an architecture that takes advantage of clustered hardware along with new tools designed specifically to capture and analyze web-scale data. It describes a scalable, easy-to-understand approach to big data systems that can be built and run by a small team. Following a realistic example, this book guides readers through the theory of big data systems, how to implement them in practice, and how to deploy and operate them once they're built. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Book Web-scale applications like social networks, real-time analytics, or e-commerce sites deal with a lot of data, whose volume and velocity exceed the limits of traditional database systems. These applications require architectures built around clusters of machines to store and process data of any size, or speed. Fortunately, scale and simplicity are not mutually exclusive. Big Data teaches you to build big data systems using an architecture designed specifically to capture and analyze web-scale data. This book presents the Lambda Architecture, a scalable, easy-to-understand approach that can be built and run by a small team. You'll explore the theory of big data systems and how to implement them in practice. In addition to discovering a general framework for processing big data, you'll learn specific technologies like Hadoop, Storm, and NoSQL databases. This book requires no previous exposure to large-scale data analysis or NoSQL tools. Familiarity with traditional databases is helpful. What's Inside Introduction to big data systems Real-time processing of web-scale data Tools like Hadoop, Cassandra, and Storm Extensions to traditional database skills About the Authors Nathan Marz is the creator of Apache Storm and the originator of the Lambda Architecture for big data systems. James Warren is an analytics architect with a background in machine learning and scientific computing. Table of Contents A new paradigm for Big Data PART 1 BATCH LAYER Data model for Big Data Data model for Big Data: Illustration Data storage on the batch layer Data storage on the batch layer: Illustration Batch layer Batch layer: Illustration An example batch layer: Architecture and algorithms An example batch layer: Implementation PART 2 SERVING LAYER Serving layer Serving layer: Illustration PART 3 SPEED LAYER Realtime views Realtime views: Illustration Queuing and stream processing Queuing and stream processing: Illustration Micro-batch stream processing Micro-batch stream processing: Illustration Lambda Architecture in depth

Principles and Practice of Big Data

Principles and Practice of Big Data Book
Author : Jules J Berman
Publisher : Academic Press
Release : 2018-07-23
ISBN : 0128156104
Language : En, Es, Fr & De

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Book Description :

Principles and Practice of Big Data: Preparing, Sharing, and Analyzing Complex Information, Second Edition updates and expands on the first edition, bringing a set of techniques and algorithms that are tailored to Big Data projects. The book stresses the point that most data analyses conducted on large, complex data sets can be achieved without the use of specialized suites of software (e.g., Hadoop), and without expensive hardware (e.g., supercomputers). The core of every algorithm described in the book can be implemented in a few lines of code using just about any popular programming language (Python snippets are provided). Through the use of new multiple examples, this edition demonstrates that if we understand our data, and if we know how to ask the right questions, we can learn a great deal from large and complex data collections. The book will assist students and professionals from all scientific backgrounds who are interested in stepping outside the traditional boundaries of their chosen academic disciplines. Presents new methodologies that are widely applicable to just about any project involving large and complex datasets Offers readers informative new case studies across a range scientific and engineering disciplines Provides insights into semantics, identification, de-identification, vulnerabilities and regulatory/legal issues Utilizes a combination of pseudocode and very short snippets of Python code to show readers how they may develop their own projects without downloading or learning new software

Big Data

Big Data Book
Author : Rajkumar Buyya,Amir Vahid Dastjerdi,Rodrigo N Calheiros
Publisher : Morgan Kaufmann Publishers
Release : 2016-06-09
ISBN : 9780128053942
Language : En, Es, Fr & De

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Book Description :

"Big Data: Principles and Paradigms" captures the state-of-the-art research on the architectural aspects, technologies, and applications of Big Data. The book identifies potential future directions and technologies that facilitate insight into numerous scientific, business, and consumer applications. To help realize Big Data s full potential, the book addresses numerous challenges, offering the conceptual and technological solutions for tackling them. These challenges include life-cycle data management, large-scale storage, flexible processing infrastructure, data modeling, scalable machine learning, data analysis algorithms, sampling techniques, and privacy and ethical issues. Covers computational platforms supporting Big Data applicationsAddresses key principles underlying Big Data computingExamines key developments supporting next generation Big Data platformsExplores the challenges in Big Data computing and ways to overcome themContains expert contributors from both academia and industry"

Resource Management for Big Data Platforms

Resource Management for Big Data Platforms Book
Author : Florin Pop,Joanna Kołodziej,Beniamino Di Martino
Publisher : Springer
Release : 2016-10-27
ISBN : 3319448811
Language : En, Es, Fr & De

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Book Description :

Serving as a flagship driver towards advance research in the area of Big Data platforms and applications, this book provides a platform for the dissemination of advanced topics of theory, research efforts and analysis, and implementation oriented on methods, techniques and performance evaluation. In 23 chapters, several important formulations of the architecture design, optimization techniques, advanced analytics methods, biological, medical and social media applications are presented. These chapters discuss the research of members from the ICT COST Action IC1406 High-Performance Modelling and Simulation for Big Data Applications (cHiPSet). This volume is ideal as a reference for students, researchers and industry practitioners working in or interested in joining interdisciplinary works in the areas of intelligent decision systems using emergent distributed computing paradigms. It will also allow newcomers to grasp the key concerns and their potential solutions.

Evolution s Clinical Guidebook

Evolution s Clinical Guidebook Book
Author : Jules J. Berman
Publisher : Academic Press
Release : 2019-04-25
ISBN : 0128171278
Language : En, Es, Fr & De

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Book Description :

Evolution's Clinical Guidebook: Translating Ancient Genes into Precision Medicine demonstrates, through well-documented examples, how an understanding of the phylogenetic ancestry of humans allows us to make sense out of the flood of genetic data streaming from modern laboratories and how it can lead us to new ways to prevent, diagnose and treat diseases. Topics cover evolution and human genome, meiosis and other recombinants events, embryology, speciation, phylogeny, rare and common diseases, and the evolution of aging. This book is a valuable source for bioinformaticians and those in the biomedical field who need knowledge, down to gene level, to fully comprehend currently available data. Offers an innovative approach, focusing on how disease-associated pathways evolved Explains how the fields of phylogeny and embryology have become closely tied to the fields of genetics and bioinformatics Demonstrates how students and biomedical professionals can apply the knowledge obtained in this book to the theory and practice of precision medicine

Taxonomic Guide to Infectious Diseases

Taxonomic Guide to Infectious Diseases Book
Author : Jules J. Berman
Publisher : Academic Press
Release : 2019-05-31
ISBN : 012817577X
Language : En, Es, Fr & De

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Book Description :

Taxonomic Guide to Infectious Diseases: Understanding the Biologic Classes of Pathogenic Organisms, Second Edition tackles the complexity of clinical microbiology by assigning every infectious organism to one of 40+ taxonomic classes and providing a description of the defining traits that apply to all the organisms within each class. This edition is an updated, revised and greatly expanded guide to the classes of organisms that infect humans. This book will provide students and clinicians alike with a simplified way to understand the complex fields of clinical microbiology and parasitology. Focuses on human disease processes and includes numerous clinical tips for healthcare providers Describes the principles of classification and explains why the science of taxonomy is vital to the fields of bioinformatics and modern disease research Provides images of prototypical organisms for taxonomic classes Includes a section that lists common taxonomic pitfalls and how they can be avoided

Handbook of Research on Cloud Infrastructures for Big Data Analytics

Handbook of Research on Cloud Infrastructures for Big Data Analytics Book
Author : Raj, Pethuru
Publisher : IGI Global
Release : 2014-03-31
ISBN : 1466658657
Language : En, Es, Fr & De

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Book Description :

Clouds are being positioned as the next-generation consolidated, centralized, yet federated IT infrastructure for hosting all kinds of IT platforms and for deploying, maintaining, and managing a wider variety of personal, as well as professional applications and services. Handbook of Research on Cloud Infrastructures for Big Data Analytics focuses exclusively on the topic of cloud-sponsored big data analytics for creating flexible and futuristic organizations. This book helps researchers and practitioners, as well as business entrepreneurs, to make informed decisions and consider appropriate action to simplify and streamline the arduous journey towards smarter enterprises.

Modern Big Data Architectures

Modern Big Data Architectures Book
Author : Dominik Ryzko
Publisher : John Wiley & Sons
Release : 2020-03-31
ISBN : 1119597846
Language : En, Es, Fr & De

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Book Description :

Provides an up-to-date analysis of big data and multi-agent systems The term Big Data refers to the cases, where data sets are too large or too complex for traditional data-processing software. With the spread of new concepts such as Edge Computing or the Internet of Things, production, processing and consumption of this data becomes more and more distributed. As a result, applications increasingly require multiple agents that can work together. A multi-agent system (MAS) is a self-organized computer system that comprises multiple intelligent agents interacting to solve problems that are beyond the capacities of individual agents. Modern Big Data Architectures examines modern concepts and architecture for Big Data processing and analytics. This unique, up-to-date volume provides joint analysis of big data and multi-agent systems, with emphasis on distributed, intelligent processing of very large data sets. Each chapter contains practical examples and detailed solutions suitable for a wide variety of applications. The author, an internationally-recognized expert in Big Data and distributed Artificial Intelligence, demonstrates how base concepts such as agent, actor, and micro-service have reached a point of convergence—enabling next generation systems to be built by incorporating the best aspects of the field. This book: Illustrates how data sets are produced and how they can be utilized in various areas of industry and science Explains how to apply common computational models and state-of-the-art architectures to process Big Data tasks Discusses current and emerging Big Data applications of Artificial Intelligence Modern Big Data Architectures: A Multi-Agent Systems Perspective is a timely and important resource for data science professionals and students involved in Big Data analytics, and machine and artificial learning.

Big Data Strategies for Agile Business

Big Data Strategies for Agile Business Book
Author : Bhuvan Unhelkar
Publisher : CRC Press
Release : 2017-09-13
ISBN : 1351646540
Language : En, Es, Fr & De

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Book Description :

Agile is a set of values, principles, techniques, and frameworks for the adaptable, incremental, and efficient delivery of work. Big Data is a rapidly growing field that encompasses crucial aspects of data such as its volume, velocity, variety, and veracity. This book outlines a strategic approach to Big Data that will render a business Agile. It discusses the important competencies required to streamline and focus on the analytics and presents a roadmap for implementing such analytics in business.

Advanced Methodologies and Technologies in Network Architecture Mobile Computing and Data Analytics

Advanced Methodologies and Technologies in Network Architecture  Mobile Computing  and Data Analytics Book
Author : Khosrow-Pour, D.B.A., Mehdi
Publisher : IGI Global
Release : 2018-10-19
ISBN : 1522575995
Language : En, Es, Fr & De

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Book Description :

From cloud computing to data analytics, society stores vast supplies of information through wireless networks and mobile computing. As organizations are becoming increasingly more wireless, ensuring the security and seamless function of electronic gadgets while creating a strong network is imperative. Advanced Methodologies and Technologies in Network Architecture, Mobile Computing, and Data Analytics highlights the challenges associated with creating a strong network architecture in a perpetually online society. Readers will learn various methods in building a seamless mobile computing option and the most effective means of analyzing big data. This book is an important resource for information technology professionals, software developers, data analysts, graduate-level students, researchers, computer engineers, and IT specialists seeking modern information on emerging methods in data mining, information technology, and wireless networks.

LARGE COMPLEX DATA STREAMS USING BIG DATA

LARGE   COMPLEX DATA STREAMS USING BIG DATA Book
Author : Ashad Ullah Qureshi
Publisher : Concepts Books Publication
Release : 2021-10-18
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Recently, Cloud has become quite attractive because of elasticity, availability, and scalability. However, the technologies such as virtualization build up Cloud represents a double-edged sword because of the expansion on attacking surfaces to entire hardware-software stack. Moreover, homogeneous computing in Cloud severely limits the computational power it can potentially provide. Therefore, it is strongly desired to have new and comprehensive solutions to maintain all benefits from Cloud and suppress backsides. This thesis proposes three solutions to address security, computation and data issues in Cloud. Firstly, a GPU MapReduce framework specifically aims at improving performance and reducing energy consumption to data parallel problems. In addition, the P-CP-ABE scheme overcomes not only the difficulties of data security, access control, and key management issues in Cloud, but also the overall performance is enhanced dramatically. Finally, the multi-tenancy technology requires a strong network authentication protocols to assure authenticity and nonrepudiation in the Cloud.

Encyclopedia of Information Science and Technology Fourth Edition

Encyclopedia of Information Science and Technology  Fourth Edition Book
Author : Khosrow-Pour, D.B.A., Mehdi
Publisher : IGI Global
Release : 2017-06-20
ISBN : 1522522565
Language : En, Es, Fr & De

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Book Description :

In recent years, our world has experienced a profound shift and progression in available computing and knowledge sharing innovations. These emerging advancements have developed at a rapid pace, disseminating into and affecting numerous aspects of contemporary society. This has created a pivotal need for an innovative compendium encompassing the latest trends, concepts, and issues surrounding this relevant discipline area. During the past 15 years, the Encyclopedia of Information Science and Technology has become recognized as one of the landmark sources of the latest knowledge and discoveries in this discipline. The Encyclopedia of Information Science and Technology, Fourth Edition is a 10-volume set which includes 705 original and previously unpublished research articles covering a full range of perspectives, applications, and techniques contributed by thousands of experts and researchers from around the globe. This authoritative encyclopedia is an all-encompassing, well-established reference source that is ideally designed to disseminate the most forward-thinking and diverse research findings. With critical perspectives on the impact of information science management and new technologies in modern settings, including but not limited to computer science, education, healthcare, government, engineering, business, and natural and physical sciences, it is a pivotal and relevant source of knowledge that will benefit every professional within the field of information science and technology and is an invaluable addition to every academic and corporate library.

Big Data Analytics with Applications in Insider Threat Detection

Big Data Analytics with Applications in Insider Threat Detection Book
Author : Bhavani Thuraisingham,Pallabi Parveen,Mohammad Mehedy Masud,Latifur Khan
Publisher : CRC Press
Release : 2017-11-22
ISBN : 1498705480
Language : En, Es, Fr & De

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Book Description :

Today's malware mutates randomly to avoid detection, but reactively adaptive malware is more intelligent, learning and adapting to new computer defenses on the fly. Using the same algorithms that antivirus software uses to detect viruses, reactively adaptive malware deploys those algorithms to outwit antivirus defenses and to go undetected. This book provides details of the tools, the types of malware the tools will detect, implementation of the tools in a cloud computing framework and the applications for insider threat detection.

Empirical Investigations of Social Space

Empirical Investigations of Social Space Book
Author : Jörg Blasius,Frédéric Lebaron,Brigitte Le Roux,Andreas Schmitz
Publisher : Springer Nature
Release : 2020-01-07
ISBN : 3030153878
Language : En, Es, Fr & De

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Book Description :

This book provides an in-depth view on Bourdieu’s empirical work, thereby specially focusing on the construction of the social space and including the concept of the habitus. Themes described in the book include amongst others: • the theory and methodology for the construction of “social spaces”, • the relation between various “fields” and “the field of power”, • formal construction and empirical observation of habitus, • the formation, accumulation, differentiation of and conversion between different forms of capital, • relations in geometric data analysis. The book also includes contributions regarding particular applications of Bourdieu’s methodology to traditional and new areas of research, such as the analysis of institutional, international and transnational fields. It further provides a systematic introduction into the empirical construction of the social space.

Service Orientation in Holonic and Multi Agent Manufacturing

Service Orientation in Holonic and Multi Agent Manufacturing Book
Author : Theodor Borangiu,Damien Trentesaux,André Thomas,Paulo Leitão,José Barata Oliveira
Publisher : Springer
Release : 2017-02-28
ISBN : 3319511009
Language : En, Es, Fr & De

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Book Description :

The book offers an integrated vision on Cloud and HPC, Big Data, Analytics and virtualization in computing-oriented manufacturing, combining information and communication technologies, service-oriented control of holonic architectures as well as enterprise integration solutions based on SOA principles. It is structured in eight parts, each one grouping research and trends in digital manufacturing and service oriented manufacturing control: Cloud and Cyber-Physical Systems for Smart Manufacturing, Reconfigurable and Self-organized Multi-Agent Systems for Industry and Service, Sustainability Issues in Intelligent Manufacturing Systems, Holonic and Multi-agent System Design for Industry and Service, Should Intelligent Manufacturing Systems be Dependable and Safe?, Service-oriented Management and Control of Manufacturing Systems, Engineering and Human Integration in Flexible and Reconfigurable Industrial Systems,Virtualization and Simulation in Computing-oriented Industry and Service. p>

Principles and Practices for Federal Program Evaluation

Principles and Practices for Federal Program Evaluation Book
Author : National Academies of Sciences, Engineering, and Medicine,Division of Behavioral and Social Sciences and Education,Committee on National Statistics,Steering Committee on Principles and Practices for Federal Program Evaluation
Publisher : National Academies Press
Release : 2017-09-30
ISBN : 0309462754
Language : En, Es, Fr & De

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Book Description :

In October 2016, the National Academies of Sciences, Engineering, and Medicine convened a 1-day public workshop on Principles and Practices for Federal Program Evaluation. The workshop was organized to consider ways to bolster the integrity and protect the objectivity of the evaluation function in federal agenciesâ€"a process that is essential for evidence-based policy making. This publication summarizes the presentations and discussions from the workshop.

Analytics and Knowledge Management

Analytics and Knowledge Management Book
Author : Suliman Hawamdeh,Hsia-Ching Chang
Publisher : CRC Press
Release : 2018-08-06
ISBN : 1351806998
Language : En, Es, Fr & De

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Book Description :

The process of transforming data into actionable knowledge is a complex process that requires the use of powerful machines and advanced analytics technique. Analytics and Knowledge Management examines the role of analytics in knowledge management and the integration of big data theories, methods, and techniques into an organizational knowledge management framework. Its chapters written by researchers and professionals provide insight into theories, models, techniques, and applications with case studies examining the use of analytics in organizations. The process of transforming data into actionable knowledge is a complex process that requires the use of powerful machines and advanced analytics techniques. Analytics, on the other hand, is the examination, interpretation, and discovery of meaningful patterns, trends, and knowledge from data and textual information. It provides the basis for knowledge discovery and completes the cycle in which knowledge management and knowledge utilization happen. Organizations should develop knowledge focuses on data quality, application domain, selecting analytics techniques, and on how to take actions based on patterns and insights derived from analytics. Case studies in the book explore how to perform analytics on social networking and user-based data to develop knowledge. One case explores analyze data from Twitter feeds. Another examines the analysis of data obtained through user feedback. One chapter introduces the definitions and processes of social media analytics from different perspectives as well as focuses on techniques and tools used for social media analytics. Data visualization has a critical role in the advancement of modern data analytics, particularly in the field of business intelligence and analytics. It can guide managers in understanding market trends and customer purchasing patterns over time. The book illustrates various data visualization tools that can support answering different types of business questions to improve profits and customer relationships. This insightful reference concludes with a chapter on the critical issue of cybersecurity. It examines the process of collecting and organizing data as well as reviewing various tools for text analysis and data analytics and discusses dealing with collections of large datasets and a great deal of diverse data types from legacy system to social networks platforms.

Principles and Practice of Clinical Research

Principles and Practice of Clinical Research Book
Author : John I. Gallin,Frederick P Ognibene,Laura Lee Johnson
Publisher : Academic Press
Release : 2017-11-17
ISBN : 0128499044
Language : En, Es, Fr & De

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Book Description :

Principles and Practice of Clinical Research, Fourth Edition has been thoroughly revised to provide a comprehensive look at both the fundamental principles and expanding practice of clinical research. New to this edition of this highly regarded reference, authors have focused on examples that broadly reflect clinical research on a global scale while including a discussion of international regulations, studies, and implications. In addition to key topics such as bioethics, clinical outcome data, cultural diversity, protocol guidelines, and “omic platforms, this edition contains new chapters devoted to electronic health records and information resources for clinical researchers, as well as the many opportunities associated with big data. Covering a vast number of topics and practical advice for both novice and advanced clinical investigators, this book is a highly relevant and essential resource for all those involved in conducting research. Features input from experts in the field dedicated to translating scientific research from bench to bedside and back Provides expanded coverage of global clinical research Contains hands-on, practical suggestions, illustrations, and examples throughout Includes new chapters on the international regulation of drugs and biologics, the emergence of the important role of comparative effectiveness research and how to identify clinical risks and manage patient safety in a clinical research setting

Information Granularity Big Data and Computational Intelligence

Information Granularity  Big Data  and Computational Intelligence Book
Author : Witold Pedrycz,Shyi-Ming Chen
Publisher : Springer
Release : 2014-07-14
ISBN : 331908254X
Language : En, Es, Fr & De

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Book Description :

The recent pursuits emerging in the realm of big data processing, interpretation, collection and organization have emerged in numerous sectors including business, industry and government organizations. Data sets such as customer transactions for a mega-retailer, weather monitoring, intelligence gathering, quickly outpace the capacities of traditional techniques and tools of data analysis. The 3V (volume, variability and velocity) challenges led to the emergence of new techniques and tools in data visualization, acquisition, and serialization. Soft Computing being regarded as a plethora of technologies of fuzzy sets (or Granular Computing), neurocomputing and evolutionary optimization brings forward a number of unique features that might be instrumental to the development of concepts and algorithms to deal with big data. This carefully edited volume provides the reader with an updated, in-depth material on the emerging principles, conceptual underpinnings, algorithms and practice of Computational Intelligence in the realization of concepts and implementation of big data architectures, analysis, and interpretation as well as data analytics. The book is aimed at a broad audience of researchers and practitioners including those active in various disciplines in which big data, their analysis and optimization are of genuine relevance. One focal point is the systematic exposure of the concepts, design methodology, and detailed algorithms. In general, the volume adheres to the top-down strategy starting with the concepts and motivation and then proceeding with the detailed design that materializes in specific algorithms and representative applications. The material is self-contained and provides the reader with all necessary prerequisites and augments some parts with a step-by-step explanation of more advanced concepts supported by a significant amount of illustrative numeric material and some application scenarios to motivate the reader and make some abstract concepts more tangible.

Aligning Business Strategies and Analytics

Aligning Business Strategies and Analytics Book
Author : Murugan Anandarajan,Teresa D. Harrison
Publisher : Springer
Release : 2018-09-27
ISBN : 3319932993
Language : En, Es, Fr & De

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Book Description :

This book examines issues related to the alignment of business strategies and analytics. Vast amounts of data are being generated, collected, stored, processed, analyzed, distributed and used at an ever-increasing rate by organizations. Simultaneously, managers must rapidly and thoroughly understand the factors driving their business. Business Analytics is an interactive process of analyzing and exploring enterprise data to find valuable insights that can be exploited for competitive advantage. However, to gain this advantage, organizations need to create a sophisticated analytical climate within which strategic decisions are made. As a result, there is a growing awareness that alignment among business strategies, business structures, and analytics are critical to effectively develop and deploy techniques to enhance an organization’s decision-making capability. In the past, the relevance and usefulness of academic research in the area of alignment is often questioned by practitioners, but this book seeks to bridge this gap. Aligning Business Strategies and Analytics: Bridging Between Theory and Practice is comprised of twelve chapters, divided into three sections. The book begins by introducing business analytics and the current gap between academic training and the needs within the business community. Chapters 2 - 5 examines how the use of cognitive computing improves financial advice, how technology is accelerating the growth of the financial advising industry, explores the application of advanced analytics to various facets of the industry and provides the context for analytics in practice. Chapters 6 - 9 offers real-world examples of how project management professionals tackle big-data challenges, explores the application of agile methodologies, discusses the operational benefits that can be gained by implementing real-time, and a case study on human capital analytics. Chapters 10 - 11 reviews the opportunities and potential shortfall and highlights how new media marketing and analytics fostered new insights. Finally the book concludes with a look at how data and analytics are playing a revolutionary role in strategy development in the chemical industry.