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Author: Weltbankgruppe
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
Big data solutions have the potential to accelerate the work of our teams by deriving timely, accurate, and actionable insights from alternative data sources in order to close data gaps and inform policymaking. For example, pilot projects underway in the Trade and Competitiveness practice are exploring the use of data science techniques to harness publicly available government and commercial data to aid competition authorities in detecting cartels and other anti-competitive practices. We are also mining Internet data to measure innovative economic activity in cities, so agencies can make better informed policy decisions and, we are collecting regulatory data to classify and assess the impacts of non-tariff measures on economies and their competitiveness. This paper, prepared in collaboration with Deloitte and with other global practices within the Bank Group, highlights data-driven pilot projects underway in the Trade & Competitiveness Global Practice and shares compelling cases of how big data is changing the way we look at the challenges countries are facing and how we can best support them.
Author: Weltbankgruppe
Publisher:
ISBN:
Category :
Languages : en
Pages :
Get Book Here
Book Description
Big data solutions have the potential to accelerate the work of our teams by deriving timely, accurate, and actionable insights from alternative data sources in order to close data gaps and inform policymaking. For example, pilot projects underway in the Trade and Competitiveness practice are exploring the use of data science techniques to harness publicly available government and commercial data to aid competition authorities in detecting cartels and other anti-competitive practices. We are also mining Internet data to measure innovative economic activity in cities, so agencies can make better informed policy decisions and, we are collecting regulatory data to classify and assess the impacts of non-tariff measures on economies and their competitiveness. This paper, prepared in collaboration with Deloitte and with other global practices within the Bank Group, highlights data-driven pilot projects underway in the Trade & Competitiveness Global Practice and shares compelling cases of how big data is changing the way we look at the challenges countries are facing and how we can best support them.
Author: World Bank Group
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
Big data solutions have the potential to accelerate the work of our teams by deriving timely, accurate, and actionable insights from alternative data sources in order to close data gaps and inform policymaking. For example, pilot projects underway in the Trade and Competitiveness practice are exploring the use of data science techniques to harness publicly available government and commercial data to aid competition authorities in detecting cartels and other anti-competitive practices. We are also mining Internet data to measure innovative economic activity in cities, so agencies can make better informed policy decisions and, we are collecting regulatory data to classify and assess the impacts of non-tariff measures on economies and their competitiveness. This paper, prepared in collaboration with Deloitte and with other global practices within the Bank Group, highlights data-driven pilot projects underway in the Trade & Competitiveness Global Practice and shares compelling cases of how big data is changing the way we look at the challenges countries are facing and how we can best support them.
Author: Bill Schmarzo
Publisher: John Wiley & Sons
ISBN: 1118740009
Category : Business & Economics
Languages : en
Pages : 245
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Book Description
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.
Author:
Publisher:
ISBN:
Category : Competition, International
Languages : en
Pages : 156
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Book Description
Author: Management Association, Information Resources
Publisher: IGI Global
ISBN: 1668436639
Category : Computers
Languages : en
Pages : 1988
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Book Description
Society is now completely driven by data with many industries relying on data to conduct business or basic functions within the organization. With the efficiencies that big data bring to all institutions, data is continuously being collected and analyzed. However, data sets may be too complex for traditional data-processing, and therefore, different strategies must evolve to solve the issue. The field of big data works as a valuable tool for many different industries. The Research Anthology on Big Data Analytics, Architectures, and Applications is a complete reference source on big data analytics that offers the latest, innovative architectures and frameworks and explores a variety of applications within various industries. Offering an international perspective, the applications discussed within this anthology feature global representation. Covering topics such as advertising curricula, driven supply chain, and smart cities, this research anthology is ideal for data scientists, data analysts, computer engineers, software engineers, technologists, government officials, managers, CEOs, professors, graduate students, researchers, and academicians.
Author: Mohan Subramaniam
Publisher: MIT Press
ISBN: 0262046997
Category : Business & Economics
Languages : en
Pages : 314
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Book Description
How legacy firms can combine their traditional strengths with the power of data and digital ecosystems to forge a new competitive strategy for the digital era. How can legacy firms remain relevant in the digital era? In The Future of Competitive Strategy, strategic management expert Mohan Subramaniam explains how firms can leverage both their traditional strengths and the modern-day power of data and digital ecosystems to forge a new competitive strategy. Drawing on the experiences of a range of companies, including Caterpillar, Sleep Number, and Whirlpool, he explains how firms can benefit from data’s enlarged role in modern business, develop digital ecosystems tailored to their unique business needs, and use new frameworks to harness the power of data for competitive advantage. Subramaniam presents digital ecosystems as a combination of production and consumption ecosystems, which can be used by legacy firms to unlock the value of data at various levels—from improving operational efficiencies to creating new data-driven services and transforming traditional products into digital platforms. He explores the ways sensors and the Internet of Things provide new kinds of customer data; presents the concept of digital competitors—other firms that have access to similar data; discusses the new digital capabilities that firms need to develop; and addresses privacy and security issues associated with data sharing. Who needs this book? Any firm that wants to revitalize traditional business models, offer a richer customer experience, and expand its competitive arena into new digital ecosystems.
Author: Henning Grosse Ruse-Khan
Publisher: Cambridge University Press
ISBN: 1316512932
Category : Business & Economics
Languages : en
Pages : 473
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Book Description
This volume brings together various perspectives to re-conceptualise IP protection beyond borders within a broader public international law framework.
Author: Al Mazari, Ali
Publisher: IGI Global
ISBN: 1522532048
Category : Medical
Languages : en
Pages : 323
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Book Description
With the advent of new technologies in big data science, the study of medical problems has made significant progress. Connecting medical studies and computational methods is crucial for the advancement of the medical industry. Big Data Analytics in HIV/AIDS Research provides emerging research on the development and implementation of computational techniques in big data analysis for biological and medical practices. While highlighting topics such as deep learning, management software, and molecular modeling, this publication explores the various applications of data analysis in clinical decision making. This book is a vital resource for medical practitioners, nurses, scientists, researchers, and students seeking current research on the connections between data analytics in the field of medicine.
Author: José María Cavanillas
Publisher: Springer
ISBN: 3319215698
Category : Computers
Languages : en
Pages : 312
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Book Description
In this book readers will find technological discussions on the existing and emerging technologies across the different stages of the big data value chain. They will learn about legal aspects of big data, the social impact, and about education needs and requirements. And they will discover the business perspective and how big data technology can be exploited to deliver value within different sectors of the economy. The book is structured in four parts: Part I “The Big Data Opportunity” explores the value potential of big data with a particular focus on the European context. It also describes the legal, business and social dimensions that need to be addressed, and briefly introduces the European Commission’s BIG project. Part II “The Big Data Value Chain” details the complete big data lifecycle from a technical point of view, ranging from data acquisition, analysis, curation and storage, to data usage and exploitation. Next, Part III “Usage and Exploitation of Big Data” illustrates the value creation possibilities of big data applications in various sectors, including industry, healthcare, finance, energy, media and public services. Finally, Part IV “A Roadmap for Big Data Research” identifies and prioritizes the cross-sectorial requirements for big data research, and outlines the most urgent and challenging technological, economic, political and societal issues for big data in Europe. This compendium summarizes more than two years of work performed by a leading group of major European research centers and industries in the context of the BIG project. It brings together research findings, forecasts and estimates related to this challenging technological context that is becoming the major axis of the new digitally transformed business environment.
Author: El Bachir Boukherouaa
Publisher: International Monetary Fund
ISBN: 1589063953
Category : Business & Economics
Languages : en
Pages : 35
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Book Description
This paper discusses the impact of the rapid adoption of artificial intelligence (AI) and machine learning (ML) in the financial sector. It highlights the benefits these technologies bring in terms of financial deepening and efficiency, while raising concerns about its potential in widening the digital divide between advanced and developing economies. The paper advances the discussion on the impact of this technology by distilling and categorizing the unique risks that it could pose to the integrity and stability of the financial system, policy challenges, and potential regulatory approaches. The evolving nature of this technology and its application in finance means that the full extent of its strengths and weaknesses is yet to be fully understood. Given the risk of unexpected pitfalls, countries will need to strengthen prudential oversight.
