The Economics Of Data Analytics And Digital Transformation

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The Economics of Data, Analytics, and Digital Transformation

Author : Bill Schmarzo
Publisher : Packt Publishing Ltd
ISBN 13 : 1800569130
Total Pages : 261 pages
Book Rating : 4.8/5 (5 download)

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Book Synopsis The Economics of Data, Analytics, and Digital Transformation by : Bill Schmarzo

Download or read book The Economics of Data, Analytics, and Digital Transformation written by Bill Schmarzo and published by Packt Publishing Ltd. This book was released on 2020-11-30 with total page 261 pages. Available in PDF, EPUB and Kindle. Book excerpt: Build a continuously learning and adapting organization that can extract increasing levels of business, customer and operational value from the amalgamation of data and advanced analytics such as AI and Machine Learning Key Features Master the Big Data Business Model Maturity Index methodology to transition to a value-driven organizational mindset Acquire implementable knowledge on digital transformation through 8 practical laws Explore the economics behind digital assets (data and analytics) that appreciate in value when constructed and deployed correctly Book Description In today's digital era, every organization has data, but just possessing enormous amounts of data is not a sufficient market discriminator. The Economics of Data, Analytics, and Digital Transformation aims to provide actionable insights into the real market discriminators, including an organization's data-fueled analytics products that inspire innovation, deliver insights, help make practical decisions, generate value, and produce mission success for the enterprise. The book begins by first building your mindset to be value-driven and introducing the Big Data Business Model Maturity Index, its maturity index phases, and how to navigate the index. You will explore value engineering, where you will learn how to identify key business initiatives, stakeholders, advanced analytics, data sources, and instrumentation strategies that are essential to data science success. The book will help you accelerate and optimize your company's operations through AI and machine learning. By the end of the book, you will have the tools and techniques to drive your organization's digital transformation. Here are a few words from Dr. Kirk Borne, Data Scientist and Executive Advisor at Booz Allen Hamilton, about the book: "Data analytics should first and foremost be about action and value. Consequently, the great value of this book is that it seeks to be actionable. It offers a dynamic progression of purpose-driven ignition points that you can act upon." What you will learn Train your organization to transition from being data-driven to being value-driven Navigate and master the big data business model maturity index Learn a methodology for determining the economic value of your data and analytics Understand how AI and machine learning can create analytics assets that appreciate in value the more that they are used Become aware of digital transformation misconceptions and pitfalls Create empowered and dynamic teams that fuel your organization's digital transformation Who this book is for This book is designed to benefit everyone from students who aspire to study the economic fundamentals behind data and digital transformation to established business leaders and professionals who want to learn how to leverage data and analytics to accelerate their business careers.

Big Data MBA

Author : Bill Schmarzo
Publisher : John Wiley & Sons
ISBN 13 : 1119238846
Total Pages : 312 pages
Book Rating : 4.1/5 (192 download)

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Book Synopsis Big Data MBA by : Bill Schmarzo

Download or read book Big Data MBA written by Bill Schmarzo and published by John Wiley & Sons. This book was released on 2015-12-11 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: Integrate big data into business to drive competitive advantage and sustainable success Big Data MBA brings insight and expertise to leveraging big data in business so you can harness the power of analytics and gain a true business advantage. Based on a practical framework with supporting methodology and hands-on exercises, this book helps identify where and how big data can help you transform your business. You'll learn how to exploit new sources of customer, product, and operational data, coupled with advanced analytics and data science, to optimize key processes, uncover monetization opportunities, and create new sources of competitive differentiation. The discussion includes guidelines for operationalizing analytics, optimal organizational structure, and using analytic insights throughout your organization's user experience to customers and front-end employees alike. You'll learn to “think like a data scientist” as you build upon the decisions your business is trying to make, the hypotheses you need to test, and the predictions you need to produce. Business stakeholders no longer need to relinquish control of data and analytics to IT. In fact, they must champion the organization's data collection and analysis efforts. This book is a primer on the business approach to analytics, providing the practical understanding you need to convert data into opportunity. Understand where and how to leverage big data Integrate analytics into everyday operations Structure your organization to drive analytic insights Optimize processes, uncover opportunities, and stand out from the rest Help business stakeholders to “think like a data scientist” Understand appropriate business application of different analytic techniques If you want data to transform your business, you need to know how to put it to use. Big Data MBA shows you how to implement big data and analytics to make better decisions.

Business Models

Author : Iwona Otola
Publisher : CRC Press
ISBN 13 : 100009779X
Total Pages : 169 pages
Book Rating : 4.0/5 ( download)

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Book Synopsis Business Models by : Iwona Otola

Download or read book Business Models written by Iwona Otola and published by CRC Press. This book was released on 2020-07-09 with total page 169 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since the beginning of time, running a business has involved using logic by which the business operates. This logic is called the business model in management science, which increasingly is focusing on issues surrounding business models. Research trends related to business models include value creation, value chain operationalization, and social and ecological aspects, as well as innovation and digital transformation. Business Models: Innovation, Digital Transformation, and Analytics examines how innovation, digital transformation, and the composition of value affect the existence and development of business models. The book starts by addressing the conceptual development of business models and by discussing the essence of innovation in those models. Chapters in the book investigate how: Business models can analyze digital transformation scenarios Individual business model elements effect selected performance measures as well as how the elements are significant for the enterprise value composition The environment effects the profitability of the high-growth enterprise business models Employer branding business models are perceived by the generation Z workforce To implement responsible business models in the enterprise Cyber risk is captured in business models Decision algorithms are important to business analytics This book is a compendium of knowledge about the use of business models in the context of innovative activities, digital transformation, and value composition. It attempts to combine the theory and practice and offers a look at business models currently used in companies, especially high-growth enterprises, in various countries of the world and indicates the prospects for their development.

Digitalization, Digital Transformation and Sustainability in the Global Economy

Author : Tim A. Herberger
Publisher : Springer Nature
ISBN 13 : 303077340X
Total Pages : 185 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Digitalization, Digital Transformation and Sustainability in the Global Economy by : Tim A. Herberger

Download or read book Digitalization, Digital Transformation and Sustainability in the Global Economy written by Tim A. Herberger and published by Springer Nature. This book was released on 2021-07-27 with total page 185 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights the opportunities and risks of digitalization and digital transformation for our global economy at both the micro and macro level. Experts from various fields, presenting both scientific and practice-oriented perspectives, identify and critically analyse areas of tension and development potential in connection with new business models and sustainability efforts in our society. It is divided into four parts, the first of which highlights new technological advances in areas such as blockchain, cryptocurrencies and fintechs, and discusses the challenges they pose for public regulation. The second part illustrates digitalization’s effects on and potential advantages for public welfare, focusing on key areas such as education, health and smart cities. The third part focuses on challenges for corporate and public management, particularly for leadership and Corporate Social Responsibility, while the fourth part discusses new dimensions for analysis based on big data. The contributions gathered here are partly an outcome of the International Conference on Digitalization, Digital Transformation and Sustainability held in Budapest in October 2020 and generously supported by the Hanns Seidel Foundation.

Data Science for Economics and Finance

Author : Sergio Consoli
Publisher : Springer Nature
ISBN 13 : 3030668916
Total Pages : 357 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Data Science for Economics and Finance by : Sergio Consoli

Download or read book Data Science for Economics and Finance written by Sergio Consoli and published by Springer Nature. This book was released on 2021 with total page 357 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book covers the use of data science, including advanced machine learning, big data analytics, Semantic Web technologies, natural language processing, social media analysis, time series analysis, among others, for applications in economics and finance. In addition, it shows some successful applications of advanced data science solutions used to extract new knowledge from data in order to improve economic forecasting models. The book starts with an introduction on the use of data science technologies in economics and finance and is followed by thirteen chapters showing success stories of the application of specific data science methodologies, touching on particular topics related to novel big data sources and technologies for economic analysis (e.g. social media and news); big data models leveraging on supervised/unsupervised (deep) machine learning; natural language processing to build economic and financial indicators; and forecasting and nowcasting of economic variables through time series analysis. This book is relevant to all stakeholders involved in digital and data-intensive research in economics and finance, helping them to understand the main opportunities and challenges, become familiar with the latest methodological findings, and learn how to use and evaluate the performances of novel tools and frameworks. It primarily targets data scientists and business analysts exploiting data science technologies, and it will also be a useful resource to research students in disciplines and courses related to these topics. Overall, readers will learn modern and effective data science solutions to create tangible innovations for economic and financial applications.

Infonomics

Author : Douglas B. Laney
Publisher : Routledge
ISBN 13 : 1351610694
Total Pages : 326 pages
Book Rating : 4.3/5 (516 download)

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Book Synopsis Infonomics by : Douglas B. Laney

Download or read book Infonomics written by Douglas B. Laney and published by Routledge. This book was released on 2017-09-05 with total page 326 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many senior executives talk about information as one of their most important assets, but few behave as if it is. They report to the board on the health of their workforce, their financials, their customers, and their partnerships, but rarely the health of their information assets. Corporations typically exhibit greater discipline in tracking and accounting for their office furniture than their data. Infonomics is the theory, study, and discipline of asserting economic significance to information. It strives to apply both economic and asset management principles and practices to the valuation, handling, and deployment of information assets. This book specifically shows: CEOs and business leaders how to more fully wield information as a corporate asset CIOs how to improve the flow and accessibility of information CFOs how to help their organizations measure the actual and latent value in their information assets. More directly, this book is for the burgeoning force of chief data officers (CDOs) and other information and analytics leaders in their valiant struggle to help their organizations become more infosavvy. Author Douglas Laney has spent years researching and developing Infonomics and advising organizations on the infinite opportunities to monetize, manage, and measure information. This book delivers a set of new ideas, frameworks, evidence, and even approaches adapted from other disciplines on how to administer, wield, and understand the value of information. Infonomics can help organizations not only to better develop, sell, and market their offerings, but to transform their organizations altogether. "Doug Laney masterfully weaves together a collection of great examples with a solid framework to guide readers on how to gain competitive advantage through what he labels "the unruly asset" – data. The framework is comprehensive, the advice practical and the success stories global and across industries and applications." Liz Rowe, Chief Data Officer, State of New Jersey "A must read for anybody who wants to survive in a data centric world." Shaun Adams, Head of Data Science, Betterbathrooms.com "Phenomenal! An absolute must read for data practitioners, business leaders and technology strategists. Doug's lucid style has a set a new standard in providing intelligible material in the field of information economics. His passion and knowledge on the subject exudes thru his literature and inspires individuals like me." Ruchi Rajasekhar, Principal Data Architect, MISO Energy "I highly recommend Infonomics to all aspiring analytics leaders. Doug Laney’s work gives readers a deeper understanding of how and why information should be monetized and managed as an enterprise asset. Laney’s assertion that accounting should recognize information as a capital asset is quite convincing and one I agree with. Infonomics enjoyably echoes that sentiment!" Matt Green, independent business analytics consultant, Atlanta area "If you care about the digital economy, and you should, read this book." Tanya Shuckhart, Analyst Relations Lead, IRI Worldwide

The Data Industry

Author : Chunlei Tang
Publisher : John Wiley & Sons
ISBN 13 : 111913840X
Total Pages : 217 pages
Book Rating : 4.1/5 (191 download)

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Book Synopsis The Data Industry by : Chunlei Tang

Download or read book The Data Industry written by Chunlei Tang and published by John Wiley & Sons. This book was released on 2016-06-13 with total page 217 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides an introduction of the data industry to the field of economics This book bridges the gap between economics and data science to help data scientists understand the economics of big data, and enable economists to analyze the data industry. It begins by explaining data resources and introduces the data asset. This book defines a data industry chain, enumerates data enterprises’ business models versus operating models, and proposes a mode of industrial development for the data industry. The author describes five types of enterprise agglomerations, and multiple industrial cluster effects. A discussion on the establishment and development of data industry related laws and regulations is provided. In addition, this book discusses several scenarios on how to convert data driving forces into productivity that can then serve society. This book is designed to serve as a reference and training guide for ata scientists, data-oriented managers and executives, entrepreneurs, scholars, and government employees. Defines and develops the concept of a “Data Industry,” and explains the economics of data to data scientists and statisticians Includes numerous case studies and examples from a variety of industries and disciplines Serves as a useful guide for practitioners and entrepreneurs in the business of data technology The Data Industry: The Business and Economics of Information and Big Data is a resource for practitioners in the data science industry, government, and students in economics, business, and statistics. CHUNLEI TANG, Ph.D., is a research fellow at Harvard University. She is the co-founder of Fudan’s Institute for Data Industry and proposed the concept of the “data industry”. She received a Ph.D. in Computer and Software Theory in 2012 and a Master of Software Engineering in 2006 from Fudan University, Shanghai, China.

Data-Driven Business Models for the Digital Economy

Author : Rado Kotorov
Publisher : Business Expert Press
ISBN 13 : 195152781X
Total Pages : 161 pages
Book Rating : 4.9/5 (515 download)

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Book Synopsis Data-Driven Business Models for the Digital Economy by : Rado Kotorov

Download or read book Data-Driven Business Models for the Digital Economy written by Rado Kotorov and published by Business Expert Press. This book was released on 2020-04-21 with total page 161 pages. Available in PDF, EPUB and Kindle. Book excerpt: Today the fastest growing companies have no physical assets. Instead, they create innovative digital products and new data-driven business models. They capture huge market share fast and their capitalizations skyrocket. The success of these digital giants is pushing all companies to rethink their business models and to start digitizing their products and services. Whether you are a new start-up building a digital product or service, or an employee of an established company that is transitioning to digital, you need to consider how digitization has transformed every aspect of management. Data-driven business models scale not through asset accumulation and product standardization, but through disaggregation of supply and demand. The winners in the new economy master the demand for one and the supply to millions. Throughout the book the author illustrates with examples and use cases how the market competition has changed and how companies adept to the new rules of the game. The economic levers of scale and scope are also different in the digital economy and companies have to learn new tactics how to achieve and sustain their competitive advantage. While data is at the core of all digital business models, the monetization strategies vary across products, services and business models. Our Monetization Matrix is a model that helps managers, marketers, sales professionals, and technical product designers to align the digital product design with the data-driven business model.

Big Data

Author : Bill Schmarzo
Publisher : John Wiley & Sons
ISBN 13 : 1118739574
Total Pages : 245 pages
Book Rating : 4.1/5 (187 download)

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Book Synopsis Big Data by : Bill Schmarzo

Download or read book Big Data written by Bill Schmarzo and published by John Wiley & Sons. This book was released on 2013-10-07 with total page 245 pages. Available in PDF, EPUB and Kindle. Book excerpt: Leverage big data to add value to your business Social media analytics, web-tracking, and other technologies help companies acquire and handle massive amounts of data to better understand their customers, products, competition, and markets. Armed with the insights from big data, companies can improve customer experience and products, add value, and increase return on investment. The tricky part for busy IT professionals and executives is how to get this done, and that's where this practical book comes in. Big Data: Understanding How Data Powers Big Business is a complete how-to guide to leveraging big data to drive business value. Full of practical techniques, real-world examples, and hands-on exercises, this book explores the technologies involved, as well as how to find areas of the organization that can take full advantage of big data. Shows how to decompose current business strategies in order to link big data initiatives to the organization’s value creation processes Explores different value creation processes and models Explains issues surrounding operationalizing big data, including organizational structures, education challenges, and new big data-related roles Provides methodology worksheets and exercises so readers can apply techniques Includes real-world examples from a variety of organizations leveraging big data Big Data: Understanding How Data Powers Big Business is written by one of Big Data's preeminent experts, William Schmarzo. Don't miss his invaluable insights and advice.

Data Analytics and Digital Transformation

Author : Erik Beulen
Publisher : Taylor & Francis
ISBN 13 : 1003807356
Total Pages : 243 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Data Analytics and Digital Transformation by : Erik Beulen

Download or read book Data Analytics and Digital Transformation written by Erik Beulen and published by Taylor & Francis. This book was released on 2023-12-01 with total page 243 pages. Available in PDF, EPUB and Kindle. Book excerpt: Understanding the significance of data analytics is paramount for digital transformation but in many organizations they are separate units without fully aligned goals. As organizations are applying digital transformations to be adaptive and agile in a competitive environment, data analytics can play a critical role in their success. This book explores the crossroads between them and how to leverage their connection for improved business outcomes. The need to collaborate and share data is becoming an integral part of digital transformation. This not only creates new opportunities but also requires well-considered and continuously assessed decision-making as competitiveness is at stake. This book details approaches, concepts, and frameworks, as well as actionable insights and good practices, including combined data management and agile concepts. Critical issues are discussed such as data quality and data governance, as well as compliance, privacy, and ethics. It also offers insights into how both private and public organizations can innovate and keep up with growing data volumes and increasing technological developments in the short, mid, and long term. This book will be of direct appeal to global researchers and students across a range of business disciplines, including technology and innovation management, organizational studies, and strategic management. It is also relevant for policy makers, regulators, and executives of private and public organizations looking to implement successful transformation policies.

Disruptive Technology and Digital Transformation for Business and Government

Author : Sandhu, Kamaljeet
Publisher : IGI Global
ISBN 13 : 1799885852
Total Pages : 410 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Disruptive Technology and Digital Transformation for Business and Government by : Sandhu, Kamaljeet

Download or read book Disruptive Technology and Digital Transformation for Business and Government written by Sandhu, Kamaljeet and published by IGI Global. This book was released on 2021-05-07 with total page 410 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the far-reaching global impact of the COVID-19 pandemic, the demand and the necessity for digital enterprise transformation have accelerated exponentially. Management and strategies for the adoption and wider usage of newer digital technologies for the transformation of an enterprise through digital tools such as real-time video communications have shown that people no longer need to be required to be physically present in the same place; rather, they can be geographically dispersed. Technologies such as artificial intelligence, cloud computing, digital banking, and cloud data have taken over tasks that were initially done by human hands and have increased both the automation and efficiency of tasks and the accessibility of information and services. Inclusion of all these newer technologies has shown the fast pace at which the digital enterprise transformation is rapidly evolving and how new ecosystems are reshaping the digital enterprise model. Disruptive Technology and Digital Transformation for Business and Government presents interesting research on digital enterprise transformation at different stages and across different settings within government and industry, along with key issues and deeper insights on the core problems and developing solutions and recommendations for digital enterprise transformation. The chapters examine the three core leaders of transformation: the people such as managers, employees, and customers; the digital technology such as artificial intelligence and robotics; and the digital enterprise, including the products and services being transformed. They unravel the underlying process for management and strategies to fully incorporate new digital tools and technologies across all aspects of an enterprise undergoing transformation. This book is ideally intended for managers, executives, IT consultants, business professionals, government officials, researchers, students, practitioners, stakeholders, academicians, and anyone else looking to learn about new developments in digital enterprise transformation of business systems from a global perspective.

The Impact of Digital Transformation and FinTech on the Finance Professional

Author : Volker Liermann
Publisher : Springer Nature
ISBN 13 : 3030237192
Total Pages : 424 pages
Book Rating : 4.0/5 (32 download)

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Book Synopsis The Impact of Digital Transformation and FinTech on the Finance Professional by : Volker Liermann

Download or read book The Impact of Digital Transformation and FinTech on the Finance Professional written by Volker Liermann and published by Springer Nature. This book was released on 2019-10-02 with total page 424 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book demystifies the developments and defines the buzzwords in the wide open space of digitalization and finance, exploring the space of FinTech through the lens of the financial services professional and what they need to know to stay ahead. With chapters focusing on the customer interface, payments, smart contracts, workforce automation, robotics, crypto currencies and beyond, this book aims to be the go-to guide for professionals in financial services and banking on how to better understand the digitalization of their industry. The book provides an outlook of the impact digitalization will have in the daily work of a CFO/CRO and a structural influence to the financial management (including risk management) department of a bank.

Formula 4.0 for Digital Transformation

Author : Venkatesh Upadrista
Publisher : CRC Press
ISBN 13 : 1000388794
Total Pages : 348 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Formula 4.0 for Digital Transformation by : Venkatesh Upadrista

Download or read book Formula 4.0 for Digital Transformation written by Venkatesh Upadrista and published by CRC Press. This book was released on 2021-05-26 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: A staggering 70% of digital transformations have failed as per McKinsey. The key reason why enterprises are failing in their digital transformation journey is because there is no standard framework existing in the industry that enterprises can use to transform themselves to digital. There are several books that speak about technologies such as Cloud, Artificial Intelligence and Data Analytics in silos, but none of these provides a holistic view on how enterprises can embark on a digital transformation journey and be successful using a combination of these technologies. FORMULA 4.0 is a methodology that provides clear guidance for enterprises aspiring to transform their traditional operating model to digital. Enterprises can use this framework as a readymade guide and plan their digital transformation journey. This book is intended for all chief executives, software managers, and leaders who intend to successfully lead this digital transformation journey. An enterprise can achieve success in digital transformation only of it can create an IT Platform that will enable them to adopt any new technology seamlessly into existing IT estate; deliver new products and services to the market in shorter durations; make business decisions with IT as an enabler and utilize automation in all its major business and IT processes. Achieving these goals is what defines a digital enterprise -- Formula 4.0 is a methodology for enterprises to achieve these goals and become digital. Essentially, there is no existing framework in the market that provides a step-by-step guide to enterprises on how to embark on their successful digital transformation journey. This book enables such transformations. Overall, the Formula 4.0 is an enterprise digital transformation framework that enables organizations to become truly digital.

Digital Intelligence

Author : Mehmet Yildiz
Publisher :
ISBN 13 : 9781691666409
Total Pages : 205 pages
Book Rating : 4.6/5 (664 download)

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Book Synopsis Digital Intelligence by : Mehmet Yildiz

Download or read book Digital Intelligence written by Mehmet Yildiz and published by . This book was released on 2019-09-07 with total page 205 pages. Available in PDF, EPUB and Kindle. Book excerpt: I authored this book because dealing with intelligence, and the digital world is a passion for me and wanted to share my passion with you. In this book, I aim to provide compelling ideas and unique ways to increase, enhance, and deepen your digital intelligence and awareness and apply them to your organisation's digital journey particularly for modernisation and transformation initiatives. I used the architectural thinking approach as the primary framework to convey my message. Based on my architectural thought leadership on various digital transformation and modernisation engagements, with the accumulated wealth of knowledge and skills, I want to share these learnings in a concise book hoping to add value by contributing to the broader digital community and the progressing initiatives. Rest assured, this is not a theory or an academic book. It is purely practical and based on lessons learned from real enterprise transformation and modernisation initiatives taken in large corporate environments. I made every effort to make this book concise, uncluttered, and easy-to-read by removing technical jargons for a broader audience who want to enhance digital intelligence and awareness. Upfront, this book is not about a tool, application, a single product, specific technology, or service, and certainly not to endorse any of these items. However, this book focuses on architectural thinking and methodical approach to improve digital intelligence and awareness. It is not like typical digital transformation books available on the market. In this book, I do not cover and repeat the same content of those books describing digital transformations. My purpose is different.What distinguishes this book from other books is that I provide an innovative thinking framework and a methodical approach to increase your digital quotient based on experience, aiming not to sell or endorse any products or services even though I mention some prominent technologies which enable digital transformation, for your digital awareness, intelligence, and capabilities.

Decisively Digital

Author : Alexander Loth
Publisher : John Wiley & Sons
ISBN 13 : 111973729X
Total Pages : 400 pages
Book Rating : 4.1/5 (197 download)

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Book Synopsis Decisively Digital by : Alexander Loth

Download or read book Decisively Digital written by Alexander Loth and published by John Wiley & Sons. This book was released on 2021-05-28 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discover how to survive and thrive in an increasingly digital world Digital strategy should consist of more than just updating your business’ desktop computers and buying the newest smartphones for your employees. It requires the reimagining of existing business processes and the implementation of the latest technologies into current business activity to enable new capabilities for your firm. In Decisively Digital: From Creating a Culture to Designing Strategy, digital strategy advisor and author Alexander Loth leverages his extensive experience working with Microsoft, CERN, and SAP to deliver a robust and accessible exploration of what it takes for a company to unlock the potential of new digital technologies. You’ll discover how to: Utilize new technologies to establish a digital culture and realize the benefits of modern work for your employees Unleash the abilities that come with processing big data and taking advantage of data democracy, analytics, and cloud computing Implement artificial intelligence, blockchain, process automation, and IoT in a way that goes beyond the hype and delivers real business results Packed with interviews with industry leaders and real-world customer examples, Decisively Digital is ideal for CIOs, CDOs, and other executives and professionals who need to know how technology can improve their businesses and power results today and tomorrow.

Big Data Analytics for Internet of Things

Author : Tausifa Jan Saleem
Publisher : John Wiley & Sons
ISBN 13 : 1119740754
Total Pages : 402 pages
Book Rating : 4.1/5 (197 download)

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Book Synopsis Big Data Analytics for Internet of Things by : Tausifa Jan Saleem

Download or read book Big Data Analytics for Internet of Things written by Tausifa Jan Saleem and published by John Wiley & Sons. This book was released on 2021-04-20 with total page 402 pages. Available in PDF, EPUB and Kindle. Book excerpt: BIG DATA ANALYTICS FOR INTERNET OF THINGS Discover the latest developments in IoT Big Data with a new resource from established and emerging leaders in the field Big Data Analytics for Internet of Things delivers a comprehensive overview of all aspects of big data analytics in Internet of Things (IoT) systems. The book includes discussions of the enabling technologies of IoT data analytics, types of IoT data analytics, challenges in IoT data analytics, demand for IoT data analytics, computing platforms, analytical tools, privacy, and security. The distinguished editors have included resources that address key techniques in the analysis of IoT data. The book demonstrates how to select the appropriate techniques to unearth valuable insights from IoT data and offers novel designs for IoT systems. With an abiding focus on practical strategies with concrete applications for data analysts and IoT professionals, Big Data Analytics for Internet of Things also offers readers: A thorough introduction to the Internet of Things, including IoT architectures, enabling technologies, and applications An exploration of the intersection between the Internet of Things and Big Data, including IoT as a source of Big Data, the unique characteristics of IoT data, etc. A discussion of the IoT data analytics, including the data analytical requirements of IoT data and the types of IoT analytics, including predictive, descriptive, and prescriptive analytics A treatment of machine learning techniques for IoT data analytics Perfect for professionals, industry practitioners, and researchers engaged in big data analytics related to IoT systems, Big Data Analytics for Internet of Things will also earn a place in the libraries of IoT designers and manufacturers interested in facilitating the efficient implementation of data analytics strategies.

Data Economy in the Digital Age

Author : Samiksha Shukla
Publisher : Springer Nature
ISBN 13 : 9819976774
Total Pages : 139 pages
Book Rating : 4.8/5 (199 download)

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Book Synopsis Data Economy in the Digital Age by : Samiksha Shukla

Download or read book Data Economy in the Digital Age written by Samiksha Shukla and published by Springer Nature. This book was released on 2023-12-21 with total page 139 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book is a comprehensive guide that explores the concept of data economy and its implications in today's world. The book discusses the principles and components of the ecosystem, the challenges and opportunities presented by data monetization, and the potential risks related to data privacy. Real-life examples and case studies are included to understand the concepts better. The book is suitable for individuals in data science, economics, business, and technology and for students, academics, and policymakers. It is an excellent read for anyone interested in the data economy.