Digital Economy, Business Analytics, and Big Data Analytics Applications PDF Download

Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Digital Economy, Business Analytics, and Big Data Analytics Applications PDF full book. Access full book title Digital Economy, Business Analytics, and Big Data Analytics Applications by Saad G. Yaseen. Download full books in PDF and EPUB format.

Digital Economy, Business Analytics, and Big Data Analytics Applications

Digital Economy, Business Analytics, and Big Data Analytics Applications PDF Author: Saad G. Yaseen
Publisher: Springer Nature
ISBN: 3031052587
Category : Computers
Languages : en
Pages : 723

Book Description
This book is about turning data into smart decisions, knowledge into wisdom and business into business intelligence and insight. It explores diverse paradigms, methodologies, models, tools and techniques of the emerging knowledge domain of digitalized business analytics applications. The book covers almost every crucial aspect of applied artificial intelligence in business, smart mobile and digital services in business administration, marketing, accounting, logistics, finance and IT management. This book aids researchers, practitioners and decisions makers to gain enough knowledge and insight on how to effectively leverage data into competitive intelligence.

Digital Economy, Business Analytics, and Big Data Analytics Applications

Digital Economy, Business Analytics, and Big Data Analytics Applications PDF Author: Saad G. Yaseen
Publisher: Springer Nature
ISBN: 3031052587
Category : Computers
Languages : en
Pages : 723

Book Description
This book is about turning data into smart decisions, knowledge into wisdom and business into business intelligence and insight. It explores diverse paradigms, methodologies, models, tools and techniques of the emerging knowledge domain of digitalized business analytics applications. The book covers almost every crucial aspect of applied artificial intelligence in business, smart mobile and digital services in business administration, marketing, accounting, logistics, finance and IT management. This book aids researchers, practitioners and decisions makers to gain enough knowledge and insight on how to effectively leverage data into competitive intelligence.

Sharing Economy and Big Data Analytics

Sharing Economy and Big Data Analytics PDF Author: Soraya Sedkaoui
Publisher: John Wiley & Sons
ISBN: 1119695023
Category : Mathematics
Languages : en
Pages : 268

Book Description
The different facets of the sharing economy offer numerous opportunities for businesses ? particularly those that can be distinguished by their creative ideas and their ability to easily connect buyers and senders of goods and services via digital platforms. At the beginning of the growth of this economy, the advanced digital technologies generated billions of bytes of data that constitute what we call Big Data. This book underlines the facilitating role of Big Data analytics, explaining why and how data analysis algorithms can be integrated operationally, in order to extract value and to improve the practices of the sharing economy. It examines the reasons why these new techniques are necessary for businesses of this economy and proposes a series of useful applications that illustrate the use of data in the sharing ecosystem.

Cutting-Edge Business Technologies in the Big Data Era

Cutting-Edge Business Technologies in the Big Data Era PDF Author: Saad G. Yaseen
Publisher: Springer Nature
ISBN: 3031424557
Category :
Languages : en
Pages : 438

Book Description


Win with Advanced Business Analytics

Win with Advanced Business Analytics PDF Author: Jean-Paul Isson
Publisher: John Wiley & Sons
ISBN: 1118370600
Category : Business & Economics
Languages : en
Pages : 416

Book Description
Plain English guidance for strategic business analytics and big data implementation In today's challenging economy, business analytics and big data have become more and more ubiquitous. While some businesses don't even know where to start, others are struggling to move from beyond basic reporting. In some instances management and executives do not see the value of analytics or have a clear understanding of business analytics vision mandate and benefits. Win with Advanced Analytics focuses on integrating multiple types of intelligence, such as web analytics, customer feedback, competitive intelligence, customer behavior, and industry intelligence into your business practice. Provides the essential concept and framework to implement business analytics Written clearly for a nontechnical audience Filled with case studies across a variety of industries Uniquely focuses on integrating multiple types of big data intelligence into your business Companies now operate on a global scale and are inundated with a large volume of data from multiple locations and sources: B2B data, B2C data, traffic data, transactional data, third party vendor data, macroeconomic data, etc. Packed with case studies from multiple countries across a variety of industries, Win with Advanced Analytics provides a comprehensive framework and applications of how to leverage business analytics/big data to outpace the competition.

Digital Economy. Emerging Technologies and Business Innovation

Digital Economy. Emerging Technologies and Business Innovation PDF Author: Rim Jallouli
Publisher: Springer Nature
ISBN: 303030874X
Category : Computers
Languages : en
Pages : 413

Book Description
This book constitutes the refereed proceedings of the 4th International Conference on Digital Economy, ICDEc 2019, held in Beirut, Lebanon, in April 2019. The conference was founded in 2016 to discuss innovative research and projects related to the support role of Information System Technologies in the digital transformation process, business innovation and e-commerce. The 31 papers presented in this volume were carefully reviewed and selected from 89 submissions. The theme of ICDEc 2019 was “Digital Economy: Emerging Technologies and Business Innovation”. The papers were organized in topical sections named: digital transformation; e-finance; social media communication; intelligent systems; e-commerce and business analytics; e-learning and cloud education; e-commerce and digital economy; data science; digital marketing; and digital business model.

Business Analytics for Managers

Business Analytics for Managers PDF Author: Gert H. N. Laursen
Publisher: John Wiley & Sons
ISBN: 1119302536
Category : Business & Economics
Languages : en
Pages : 321

Book Description
The intensified used of data based on analytical models to control digitalized operational business processes in an intelligent way is a game changer that continuously disrupts more and more markets. This book exemplifies this development and shows the latest tools and advances in this field Business Analytics for Managers offers real-world guidance for organizations looking to leverage their data into a competitive advantage. This new second edition covers the advances that have revolutionized the field since the first edition's release; big data and real-time digitalized decision making have become major components of any analytics strategy, and new technologies are allowing businesses to gain even more insight from the ever-increasing influx of data. New terms, theories, and technologies are explained and discussed in terms of practical benefit, and the emphasis on forward thinking over historical data describes how analytics can drive better business planning. Coverage includes data warehousing, big data, social media, security, cloud technologies, and future trends, with expert insight on the practical aspects of the current state of the field. Analytics helps businesses move forward. Extensive use of statistical and quantitative analysis alongside explanatory and predictive modeling facilitates fact-based decision making, and evolving technologies continue to streamline every step of the process. This book provides an essential update, and describes how today's tools make business analytics more valuable than ever. Learn how Hadoop can upgrade your data processing and storage Discover the many uses for social media data in analysis and communication Get up to speed on the latest in cloud technologies, data security, and more Prepare for emerging technologies and the future of business analytics Most businesses are caught in a massive, non-stop stream of data. It can become one of your most valuable assets, or a never-ending flood of missed opportunity. Technology moves fast, and keeping up with the cutting edge is crucial for wringing even more value from your data—Business Analytics for Managers brings you up to date, and shows you what analytics can do for you now.

Big Data Analytics

Big Data Analytics PDF Author: Soraya Sedkaoui
Publisher: CRC Press
ISBN: 1000290530
Category : Science
Languages : en
Pages : 282

Book Description
This volume explores the diverse applications of advanced tools and technologies of the emerging field of big data and their evidential value in business. It examines the role of analytics tools and methods of using big data in strengthening businesses to meet today’s information challenges and shows how businesses can adapt big data for effective businesses practices. This volume shows how big data and the use of data analytics is being effectively adopted more frequently, especially in companies that are looking for new methods to develop smarter capabilities and tackle challenges in dynamic processes. Many illustrative case studies are presented that highlight how companies in every sector are now focusing on harnessing data to create a new way of doing business.

Data-Driven Business Models for the Digital Economy

Data-Driven Business Models for the Digital Economy PDF Author: Rado Kotorov
Publisher: Business Expert Press
ISBN: 195152781X
Category : Business & Economics
Languages : en
Pages : 161

Book Description
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 and Business Analytics

Big Data and Business Analytics PDF Author: Jay Liebowitz
Publisher: CRC Press
ISBN: 1466565799
Category : Business & Economics
Languages : en
Pages : 304

Book Description
"The chapters in this volume offer useful case studies, technical roadmaps, lessons learned, and a few prescriptions todo this, avoid that.'"-From the Foreword by Joe LaCugna, Ph.D., Enterprise Analytics and Business Intelligence, Starbucks Coffee CompanyWith the growing barrage of "big data," it becomes vitally important for organizations to mak

Business Intelligence in the Digital Economy

Business Intelligence in the Digital Economy PDF Author: Mahesh S. Raisinghani
Publisher: IGI Global
ISBN: 9781591402060
Category : Business & Economics
Languages : en
Pages : 316

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