Disruptive Analytics

Disruptive Analytics

What You'll Learn Discover how the open source business model works and how to make it work for you See how cloud computing completely changes the economics of analytics Harness the power of Hadoop and its ecosystem Find out why Apache ...

Author: Thomas W. Dinsmore

Publisher: Apress

ISBN: 9781484213117

Category: Computers

Page: 262

View: 507

Learn all you need to know about seven key innovations disrupting business analytics today. These innovations—the open source business model, cloud analytics, the Hadoop ecosystem, Spark and in-memory analytics, streaming analytics, Deep Learning, and self-service analytics—are radically changing how businesses use data for competitive advantage. Taken together, they are disrupting the business analytics value chain, creating new opportunities. Enterprises who seize the opportunity will thrive and prosper, while others struggle and decline: disrupt or be disrupted. Disruptive Business Analytics provides strategies to profit from disruption. It shows you how to organize for insight, build and provision an open source stack, how to practice lean data warehousing, and how to assimilate disruptive innovations into an organization. Through a short history of business analytics and a detailed survey of products and services, analytics authority Thomas W. Dinsmore provides a practical explanation of the most compelling innovations available today. What You'll Learn Discover how the open source business model works and how to make it work for you See how cloud computing completely changes the economics of analytics Harness the power of Hadoop and its ecosystem Find out why Apache Spark is everywhere Discover the potential of streaming and real-time analytics Learn what Deep Learning can do and why it matters See how self-service analytics can change the way organizations do business Who This Book Is For Corporate actors at all levels of responsibility for analytics: analysts, CIOs, CTOs, strategic decision makers, managers, systems architects, technical marketers, product developers, IT personnel, and consultants.
Categories: Computers

Future Trends of HPC in a Disruptive Scenario

Future Trends of HPC in a Disruptive Scenario

Categorization of some known tools used for Big Data Analytics Platform Local
Hadoop, MapReduce, Cloudera, Hortonworks, BigInsights Cloud AWS, Google
Compute Engine, Azure Data Base SQL Greenplum, Aster data, Vertica NO-SQL
 ...

Author: L. Grandinetti

Publisher: IOS Press

ISBN: 9781614999997

Category: Computers

Page: 284

View: 943

The realization that the use of components off the shelf (COTS) could reduce costs sparked the evolution of the massive parallel computing systems available today. The main problem with such systems is the development of suitable operating systems, algorithms and application software that can utilise the potential processing power of large numbers of processors. As a result, systems comprising millions of processors are still limited in the applications they can efficiently solve. Two alternative paradigms that may offer a solution to this problem are Quantum Computers (QC) and Brain Inspired Computers (BIC). This book presents papers from the 14th edition of the biennial international conference on High Performance Computing - From Clouds and Big Data to Exascale and Beyond, held in Cetraro, Italy, from 2 - 6 July 2018. It is divided into 4 sections covering data science, quantum computing, high-performance computing, and applications. The papers presented during the workshop covered a wide spectrum of topics on new developments in the rapidly evolving supercomputing field – including QC and BIC – and a selection of contributions presented at the workshop are included in this volume. In addition, two papers presented at a workshop on Brain Inspired Computing in 2017 and an overview of work related to data science executed by a number of universities in the USA, parts of which were presented at the 2018 and previous workshops, are also included. The book will be of interest to all those whose work involves high-performance computing.
Categories: Computers

Multimedia Data Mining and Analytics

Multimedia Data Mining and Analytics

This book provides fresh insights into the cutting edge of multimedia data mining, reflecting how the research focus has shifted towards networked social communities, mobile devices and sensors.

Author: Aaron K. Baughman

Publisher: Springer

ISBN: 9783319149981

Category: Computers

Page: 454

View: 129

This book provides fresh insights into the cutting edge of multimedia data mining, reflecting how the research focus has shifted towards networked social communities, mobile devices and sensors. The work describes how the history of multimedia data processing can be viewed as a sequence of disruptive innovations. Across the chapters, the discussion covers the practical frameworks, libraries, and open source software that enable the development of ground-breaking research into practical applications. Features: reviews how innovations in mobile, social, cognitive, cloud and organic based computing impacts upon the development of multimedia data mining; provides practical details on implementing the technology for solving real-world problems; includes chapters devoted to privacy issues in multimedia social environments and large-scale biometric data processing; covers content and concept based multimedia search and advanced algorithms for multimedia data representation, processing and visualization.
Categories: Computers

Disruptive Technology Enhanced Learning

Disruptive Technology Enhanced Learning

The educational and commercial potential of analytics is considerable, but there
are also problems relating to privacy and the safety of student data (Johnson et al
. 2016, p. 39). Moreover, there are limits to the value of the data, because, ...

Author: Michael Flavin

Publisher: Springer

ISBN: 9781137572844

Category: Education

Page: 150

View: 705

This book is about how technologies are used in practice to support learning and teaching in higher education. Despite digitization and e-learning becoming ever-increasingly popular in university teaching settings, this book convincingly argues instead in favour of simple and convenient technologies, thus disrupting traditional patterns of learning, teaching and assessment. Michael Flavin uses Disruptive Innovation theory, Activity Theory and the Community of Practice theory as lenses through which to examine technology enhanced learning. This book will be of great interest to all academics with teaching responsibilities, as it illuminates how technologies are used in practice, and is also highly relevant to postgraduate students and researchers in education and technology enhanced learning. It will be especially valuable to leaders and policy-makers in higher education, as it provides insights to inform decision-making on technology enhanced learning at both an institutional and sectoral level.
Categories: Education

Disruptive and Emerging Technology Trends Across Education and the Workplace

Disruptive and Emerging Technology Trends Across Education and the Workplace

Analytics has not had the transformative and disruptive impact on education as it
has had in other fields of work. This chapter will explore the groundbreaking
potential of Targeted Online Learner Analytics (TOLA) in the design of instruction
 ...

Author: Delello, Julie Anne

Publisher: IGI Global

ISBN: 9781799829164

Category: Business & Economics

Page: 353

View: 165

Advancing technologies are rapidly modifying the current state of business and society causing an expansion of possible career opportunities. In order to stay competitive, institutions of education must provide an emphasis on the wide-range of skills and experiences needed to contribute to a 21st century workforce. As new technologies emerge and even disrupt, there will be a demand for new forms of education and deeper learning. Disruptive and Emerging Technology Trends Across Education and the Workplace is a collection of innovative research on the latest instructive methods being utilized in classrooms and organizations as well as the benefits and challenges of adopting these technologies. While highlighting topics including mobile learning, augmented reality, and cryptocurrencies, this book is ideally designed for developers, professionals, educators, managers, researchers, scientists, stakeholders, strategists, practitioners, and students seeking current research on new forms of educational techniques in relation to the continued application of new technologies in the workplace.
Categories: Business & Economics

Big Data Big Analytics

Big Data  Big Analytics

We believe there is an opportunity to drive competitive advantage for our LS
clients by creating a robust analytics capability and harnessing integrated real-
world patient level data. “Disruptive Analytics” The changing health care
landscape is ...

Author: Michael Minelli

Publisher: John Wiley & Sons

ISBN: 9781118239155

Category: Business & Economics

Page: 224

View: 222

Unique prospective on the big data analytics phenomenon for both business and IT professionals The availability of Big Data, low-cost commodity hardware and new information management and analytics software has produced a unique moment in the history of business. The convergence of these trends means that we have the capabilities required to analyze astonishing data sets quickly and cost-effectively for the first time in history. These capabilities are neither theoretical nor trivial. They represent a genuine leap forward and a clear opportunity to realize enormous gains in terms of efficiency, productivity, revenue and profitability. The Age of Big Data is here, and these are truly revolutionary times. This timely book looks at cutting-edge companies supporting an exciting new generation of business analytics. Learn more about the trends in big data and how they are impacting the business world (Risk, Marketing, Healthcare, Financial Services, etc.) Explains this new technology and how companies can use them effectively to gather the data that they need and glean critical insights Explores relevant topics such as data privacy, data visualization, unstructured data, crowd sourcing data scientists, cloud computing for big data, and much more.
Categories: Business & Economics

Big Data Analytics

Big Data Analytics

Cover subtitle: Disruptive technologies for changing the game.

Author: Arvind Sathi

Publisher: Mc PressLlc

ISBN: 1583473807

Category: Computers

Page: 73

View: 516

Bringing a practitioner’s view to big data analytics, this work examines the drivers behind big data, postulates a set of use cases, identifies sets of solution components, and recommends various implementation approaches. This work also addresses and thoroughly answers key questions on this emerging topic, including What is big data and how is it being used? How can strategic plans for big data analytics be generated? and How does big data change analytics architecture? The author, who has more than 20 years of experience in information management architecture and delivery, has drawn the material from a large breadth of workshops and interviews with business and information technology leaders, providing readers with the latest in evolutionary, revolutionary, and hybrid methodologies of moving forward to the brave new world of big data.
Categories: Computers

Making Human Capital Analytics Work Measuring the ROI of Human Capital Processes and Outcomes

Making Human Capital Analytics Work  Measuring the ROI of Human Capital Processes and Outcomes

Accidents (Excessive accidents are disruptive and decrease productivity.) 2.
Employee turnover (Excessive turnover is disruptive operationally and increases
costs.) 3. Unplanned absences (Excessive unplanned absences are disruptive, ...

Author: Jack Phillips

Publisher: McGraw Hill Professional

ISBN: 9780071840620

Category: Business & Economics

Page: 320

View: 247

PROVE THE VALUE OF YOUR HR PROGRAM WITH HARD DATA While corporate leaders may well know the value of human capital, they don’t always understand the extent to which the HR function contributes to the bottom line. So when times get tough and business budgets get cut, HR departments often take the first hit. In this groundbreaking guide, the cofounders of ROI Institute, Jack Phillips and Patti Phillips, provide the tools and techniques you need to use analytics to show top decision makers the value of HR in your organization. Focusing on three types of analytics--descriptive, predictive, and prescriptive--Making Human Capital Analytics Work shows how you can apply analytics by: Developing relationships between variables Predicting the success of HR programs Determining the cost of intangibles that are otherwise diffi cult to value Showing the business value of particular HR programs Calculating and forecasting the ROI of various HR projects and programs Much more than a guide to using data collection and analysis, Making Human Capital Analytics Work is a template for spearheading large-scale change in your organization by dramatically influencing your department's overall image within the organization. The authors take you step-by-step through the processes of using hard data to drive decisions and demonstrate the tangible value of HR. You know that your department is more than administrative and transactional--that it's an integral player in your company's strategy. Apply the lessons in Making Human Capital Analytics Work and ensure that all other stakeholders know too.
Categories: Business & Economics

Blockchain Data Analytics For Dummies

Blockchain Data Analytics For Dummies

Inside this book, technologists, executives, and data managers will find information and inspiration to adopt blockchain as a big data tool.

Author: Michael G. Solomon

Publisher: John Wiley & Sons

ISBN: 9781119651772

Category: Computers

Page: 352

View: 447

Get ahead of the curve—learn about big data on the blockchain Blockchain came to prominence as the disruptive technology that made cryptocurrencies work. Now, data pros are using blockchain technology for faster real-time analysis, better data security, and more accurate predictions. Blockchain Data Analytics For Dummies is your quick-start guide to harnessing the potential of blockchain. Inside this book, technologists, executives, and data managers will find information and inspiration to adopt blockchain as a big data tool. Blockchain expert Michael G. Solomon shares his insight on what the blockchain is and how this new tech is poised to disrupt data. Set your organization on the cutting edge of analytics, before your competitors get there! Learn how blockchain technologies work and how they can integrate with big data Discover the power and potential of blockchain analytics Establish data models and quickly mine for insights and results Create data visualizations from blockchain analysis Discover how blockchains are disrupting the data world with this exciting title in the trusted For Dummies line!
Categories: Computers

AI and Big Data s Potential for Disruptive Innovation

AI and Big Data   s Potential for Disruptive Innovation

Featuring coverage on a broad range of topics such as semantic mapping, ethics in AI, and big data governance, this book is ideally designed for IT specialists, industry professionals, managers, executives, researchers, scientists, and ...

Author: Strydom, Moses

Publisher: IGI Global

ISBN: 9781522596899

Category: Computers

Page: 405

View: 740

Big data and artificial intelligence (AI) are at the forefront of technological advances that represent a potential transformational mega-trend—a new multipolar and innovative disruption. These technologies, and their associated management paradigm, are already rapidly impacting many industries and occupations, but in some sectors, the change is just beginning. Innovating ahead of emerging technologies is the new imperative for any organization that aspires to succeed in the next decade. Faced with the power of this AI movement, it is imperative to understand the dynamics and new codes required by the disruption and to adapt accordingly. AI and Big Data’s Potential for Disruptive Innovation provides emerging research exploring the theoretical and practical aspects of successfully implementing new and innovative technologies in a variety of sectors including business, transportation, and healthcare. Featuring coverage on a broad range of topics such as semantic mapping, ethics in AI, and big data governance, this book is ideally designed for IT specialists, industry professionals, managers, executives, researchers, scientists, and engineers seeking current research on the production of new and innovative mechanization and its disruptions.
Categories: Computers

Disruptive Procurement

Disruptive Procurement

Disruptive Procurement is a radical new approach to creating value and innovation by challenging the status quo in the entire product and service line.

Author: Michael F. Strohmer

Publisher: Springer Nature

ISBN: 9783030389505

Category: Business & Economics

Page: 122

View: 316

Disruptive Procurement is a radical new approach to creating value and innovation by challenging the status quo in the entire product and service line. It requires going far beyond conventional desktop procurement to understand the value the company brings to its customers as well as the value that suppliers bring to the company. By combining knowledge of these two dimensions, companies become far more flexible and they move closer to disrupting the environment in ways that create value. To move toward Disruptive Procurement, companies need a holistic view and a complete new set of capabilities for staff in marketing, sales, R&D, manufacturing, innovation, and, of course, procurement. This will only happen if procurement is fully backed by the Chief Executive Officer and companies embrace digital tools that will help make procurement slimmer and smarter.
Categories: Business & Economics

Challenges of Implementing Artifical Intelligence Related Services What Enhancing and Inhibiting Factors Need to be Addressed by Consultancies

Challenges of Implementing Artifical Intelligence Related Services  What Enhancing and Inhibiting Factors Need to be Addressed by Consultancies

Software and technology-based analytics and tools that can be embedded at a
client, have the potential to provide ... whether the service innovation of Artificial
Intelligence is from the view of consultancies competence disruptive or not.
Nissen ...

Author:

Publisher: GRIN Verlag

ISBN: 9783346003300

Category: Business & Economics

Page: 33

View: 374

Master's Thesis from the year 2019 in the subject Business economics - Miscellaneous, grade: 2,0, VU University Amsterdam , language: English, abstract: This thesis seeks to explore the enhancing and inhibiting factors consultancies have to address when implementing services related to artificial intelligence. To address the discussion of current research, whether AI is an enhancing or a disruptive innovation, the author compares the answers to the research question with existing literature on service innovation. He aims to show whether AI requires a different innovation process than other service innovations. Firstly, the literature review addresses the theoretical background of this study by discussing literature on service innovation capabilities. Hereby, in particular, the factors that are associated to contribute as enhancing factors. Secondly, the methods section outlines the approach of the research design, data collection and data analysis. Thirdly, in the results section, the results of the study are presented, compared with the existing literature and placed in the discussion of the existing literature. Finally, in the discussion section, the results, their implications for service innovation theory and consultancies in practise are discussed. The research concludes with its limitations and the potential areas for future research.
Categories: Business & Economics

Enterprise Management with SAP SEM business Analytics

Enterprise Management with SAP SEM business Analytics

3.1.4 Scenario Analysis Scenario analysis consciously attempts to draft various
scenarios relating to the future. ... of a scenario Progression changed by
disruptive event Trend Scenario Worst-Case Scenario Future 1 Disruptive event ^
Point of ...

Author: Marco Meier

Publisher: Springer Science & Business Media

ISBN: IND:30000086256645

Category: Business & Economics

Page: 221

View: 194

In order to make strategy happen there is a need for powerful management information systems. SAP focuses on the application of modern business administration concepts, e.g. Value Based Management, the Balanced Scorecard, the Management Cockpit or flexible planning methods. The book describes the methodology and implementation of a powerful tool for enterprise management. Practical examples show how SAP Strategic Enterprise Management/Business Analytics (SAP SEM/BA) can help to improve cross functional planning, reporting and analyzing. SAP SEM/BA is a leading edge IT-solution for top management and related departments in large enterprises and groups. It demonstrates the state of the art of modern management information and decision support systems.
Categories: Business & Economics

Case Studies in Strategic Roadmapping for University Planning

Case Studies in Strategic Roadmapping for University Planning

It is likely that MOOCs are a disruptive technology and that analytics on learning
data holds considerable promise. But it is also very important to separate the
fundamental character of a college education from the specific resources used to
 ...

Author: James J. Duderstadt

Publisher:

ISBN: UOM:39015098581872

Category: Edication, Higher

Page: 257

View: 681

1
Categories: Edication, Higher

The Disruptive Substitution of Human Capital by IT

The Disruptive Substitution of Human Capital by IT

Peter Weber. The investigation commences with an analysis of unemployment
statistics and a trend analysis over the last decades with the objective to reveal
what could be perceived as technological hike of the natural rate of
unemployment.

Author: Peter Weber

Publisher: GRIN Verlag

ISBN: 9783668491052

Category: Political Science

Page: 59

View: 505

Master's Thesis from the year 2017 in the subject Business economics - Economic Policy, grade: 2, , language: English, abstract: In the course of the last century the economy experienced a gradual shift from the primary and secondary to the tertiary sector. With the emergence of disruptive IT the service sector’s traditional barriers are experiencing a fundamental erosion. In this context “disruptive IT” stands for big data, predictive analytics, machine learning and artificial intelligence. The overall hypothesis this thesis seeks to verify is “disruptive IT will substitute human capital to an extent that will irreversibly materialize in an unprecedented technological rate of unemployment”. The investigation commences with an analysis of unemployment statistics and a trend analysis over the last decades with the objective to reveal what could be perceived as technological hike of the natural rate of unemployment. It will be shown that historical data yet does not provide sufficient evidence to become scientifically convinced about the hypothesis laid out before . This does not come with surprise given the disruptive nature of recent IT advances which have yet only moderately started to unfold their full potential. Hence, disruption makes past-oriented statistics a second best guess of what to expect in future but suggests a rather simulation-based approach validated by expert opinion. Therefore, we take a look at the contemporary study and analytical model of the Oxford researchers Carl B. Frey and Michael A. Osborne followed by the criticism of their criteria-based outside-in assessment on behalf of the Organisation for Economic Co-operation and Development (OECD). Next part of the discussion is the analysis of a recent report by the World Economic Forum (WEF) based on a self-assessment of industries’ opinion leaders and field matter experts captured via means of employer survey. Finally, both the common denominator of as well as the key separators between the discussed material get consolidated and interpreted – with the distinction of the latter into those that arise out of methodological heterogeneity in contrast to those which relate to results and conclusions. It’s not academics’ primary concern to make predictions and surely not part of their routine tasks. This master thesis wants to make a contribution to the way policymakers, employers and employees as well as the society as a whole shape the future and to serve with quantified substance as facilitator in nudging science to expand the comfort zone and rethink the frontiers of academically serious work.
Categories: Political Science

The Future of the Automotive Industry

The Future of the Automotive Industry

This book takes readers on a journey where cars will evolve towards becoming “computers on wheels." The automotive industry is one of the sectors most profoundly changed by digitalization and the 21st century energy needs.

Author: Inma Martínez

Publisher: Apress

ISBN: 1484270258

Category: Technology & Engineering

Page: 250

View: 853

Nothing defined the 20th century more than the evolution of the car industry. The 2020 decade will see the automotive industry leap forward beyond simply moving people geographically toward a new purpose: to become a services industry. This book takes readers on a journey where cars will evolve towards becoming “computers on wheels." The automotive industry is one of the sectors most profoundly changed by digitalization and the 21st century energy needs. You'll explore the shifting paradigms and how cars today represent a new interpretation of what driving should be and what cars should offer. This book presents exciting case studies on how artificial intelligence (AI) and data analytics are used to design future cars, predict car efficiency, ensure safety and simulate engineering dynamics for its design, as well as a new arena for IoT and human data. It opens a window into the origins of cars becoming software-run machines, first to run internal diagnostics, and then to become machines connected to other external machines via Bluetooth, to finally the Internet via 5G. From transportation to solving people’s problems, The Future of the Automotive Industry is less about the technology itself, but more about the outcomes of technology in the future, and the transformative power it has over a much beloved item: cars. What You’ll Learn Explore smart cities and their evolution when it comes to traffic and vehicles Gain a new perspective on the future of cars and transportation based on how digital technologies will transform vehicles Examine how AI and IoT will create new contexts of interactions with drivers and passengers alike Review concepts such as personalizing the driving experience and how this will take form See how self-driving cars impact data mining of personal data Who This Book Is For Anyone with an interest in digital advancements in the automotive industry. Readers will understand what the automotive industry is doing beyond the connected car.
Categories: Technology & Engineering

Data Analytics in Marketing Entrepreneurship and Innovation

Data Analytics in Marketing  Entrepreneurship  and Innovation

This multifaceted examination of data analytics looks at: Business analytics Applying predictive analytics Using discrete choice analysis for decision-making Marketing and customer analytics Developing new products Technopreneurship ...

Author: Mounir Kehal

Publisher: CRC Press

ISBN: 9780429591686

Category: Computers

Page: 192

View: 880

Innovation based in data analytics is a contemporary approach to developing empirically supported advances that encourage entrepreneurial activity inspired by novel marketing inferences. Data Analytics in Marketing, Entrepreneurship, and Innovation covers techniques, processes, models, tools, and practices for creating business opportunities through data analytics. It features case studies that provide realistic examples of applications. This multifaceted examination of data analytics looks at: Business analytics Applying predictive analytics Using discrete choice analysis for decision-making Marketing and customer analytics Developing new products Technopreneurship Disruptive versus incremental innovation The book gives researchers and practitioners insight into how data analytics is used in the areas of innovation, entrepreneurship, and marketing. Innovation analytics helps identify opportunities to develop new products and services, and improve existing methods of product manufacturing and service delivery. Entrepreneurial analytics facilitates the transformation of innovative ideas into strategy and helps entrepreneurs make critical decisions based on data-driven techniques. Marketing analytics is used in collecting, managing, assessing, and analyzing marketing data to predict trends, investigate customer preferences, and launch campaigns.
Categories: Computers

The Healthcare Mandate How to Leverage Disruptive Innovation to Heal America s Biggest Industry

The Healthcare Mandate  How to Leverage Disruptive Innovation to Heal America   s Biggest Industry

This growing flood of data has a name: the healthcare analytics market. It's the
collection of data from all sources that's bought and sold and then subjected to
analytical analysis, resulting in improved and efficient healthcare services.

Author: Nicholas Webb

Publisher: McGraw Hill Professional

ISBN: 9781260468137

Category: Business & Economics

Page: 240

View: 884

A top healthcare futurist and consultant shows healthcare professionals and stakeholders how to redirect resources and leverage innovation to improve wellness and lower costs. Despite being the wealthiest nation on earth, the United States spends much of its healthcare money and resources pursuing the wrong goal: curing people after they get sick. In this provocative book, Nicholas J. Webb charts a bold new path that puts the focus not on reactionary treatment but on anticipation and prevention. Webb argues that we have a unique opportunity to leverage disruptive innovation to fulfill these goals. Emerging digital technologies now make it possible to collect, analyze, and act upon the enormous quantities of health-related data that every individual generates every day. This data often foreshadows disease and can alert the healthcare provider to the existence of a life-threatening condition before there are any outward symptoms, thereby enabling caregivers to pivot from treatment after the fact to anticipation, prevention, and, when necessary, reduced treatment to correct a smaller problem. This is The Healthcare Mandate—a powerful and illuminating guide to the new tools that healthcare professionals can start using right now to: See their clients not only as patients to be cured but as constituents to keep healthy. Identify and respond to emerging health problems as early as possible. Access and share constituent data with other healthcare providers. Navigate the increasingly complex world of patient data rights. Meet the challenge of non-medical online healthcare providers. Address constituent lifestyle choices that lead to obesity, diabetes, and heart disease. Respond to the increasing consumerization of healthcare. Drawing upon his decades of experience as an industry expert with dozens of medical patents, Webb offers a positive and achievable vision for the future of healthcare.
Categories: Business & Economics

Advanced Web Metrics with Google Analytics

Advanced Web Metrics with Google Analytics

Pop-up alerts are disruptive and are known to be bad for business (there is a
whole industry built around blocking pop-up ... As a google Analytics user, you
are not doing any of the above. however, at the time of writing, the eu privacy law
says ...

Author: Brian Clifton

Publisher: John Wiley & Sons

ISBN: 9781118168448

Category: Computers

Page: 600

View: 119

This book is intended for use by customers using Google Classic Analytics and does not cover the newer Google Universal Analytics or related Google Tag Manager. Google Analytics is the free tool used by millions of web site owners to assess the effectiveness of their efforts. Its revised interface and new features will offer even more ways to increase the value of your web site, and this book will teach you how to use each one to best advantage. Featuring new content based on reader and client requests, the book helps you implement new methods and concepts, track social and mobile visitors, use the new multichannel funnel reporting features, understand which filters to use, and much more. Gets you up and running with all the new tools in the revamped Google Analytics, and includes content requested by readers and users especially for new GA users Covers social media analytics features, advanced segmentation displays, multi-dashboard configurations, and using Top 20 reports Provides a detailed best-practices implementation guide covering advanced topics, such as how to set up GA to track dynamic web pages, banners, outgoing links, and contact forms Includes case studies and demonstrates how to optimize pay-per-click accounts, integrate AdSense, work with new reports and reporting tools, use ad version testing, and more Make your web site a more effective business tool with the detailed information and advice about Google Analytics in Advanced Web Metrics with Google Analytics, 3nd Edition.
Categories: Computers

Advanced Business Analytics

Advanced Business Analytics

The book describes advanced business analytics and shows how to apply them to many different professional areas of engineering and management.

Author: Fausto Pedro García Márquez

Publisher: Springer

ISBN: 9783319114156

Category: Business & Economics

Page: 243

View: 369

The book describes advanced business analytics and shows how to apply them to many different professional areas of engineering and management. Each chapter of the book is contributed by a different author and covers a different area of business analytics. The book connects the analytic principles with business practice and provides an interface between the main disciplines of engineering/technology and the organizational, administrative and planning abilities of management. It also refers to other disciplines such as economy, finance, marketing, behavioral economics and risk analysis. This book is of special interest to engineers, economists and researchers who are developing new advances in engineering management but also to practitioners working on this subject.
Categories: Business & Economics