Big Data Reports

This section intends to contain references to interesting reports/white papers/articles related to Big Data available in third parties sources.

  • Real-life Examples of Big Data Implications .

    In this summary, e-SIDES project outlines a number of interesting real-life examples of the main ethical, legal and socio-economic implications of big data technologies, including privacy abuses, lack of transparency, potential discrimination and lack of accountability.

  • The BDEC “Pathways to Convergence” Report .

    This report, and the series of Big Data and Exascale Computing (BDEC) workshops that it summarizes, is part of the response of the high performance computing (HPC) community to the disruptive changes that gave rise to the era of multicore, manycore,
    and accelerator-based computing, as well as a variety of other complex and closely related problems of energy optimization and software complexity, and to the relatively rapid emergence of “Big Data” and large scale data analysis as voracious new consumers of computing power and communication bandwidth for a wide range of critical scientific and engineering domains.

  • The European Data Market Study .

    This report presents a set of indicators measuring the European population of data workers, the value of the data market, the number of data user enterprises, the number of data companies and their revenues, and the overall value of the impact of the data economy on EU GDP. All indicators are presented for the years 2013 through 2016 and forecasted to 2020, exploring three alternative potential scenarios of evolution: Baseline, High Growth and Challenge scenarios.

  • A New Framework for Free Movement of Data

    How can we make Europe a leader in the global data economy? How can we make sure that the important advances in data analytics – the diseases that will be cured, the traffic congestions alleviated, the social problems correctly analysed – are there for citizens to enjoy and companies and institutions to develop? In this ground-breaking study, the Lisbon Council explores A New Framework for Free Movement of Data in the Digital Age: Making Europe a Data Economy. The paper analyses an array of state-of-the-art proposals for facilitating data flows and proposes a three-point roadmap for improving the “free movement of data” in Europe: adopt “once-only” at the European level; strengthen European-level cyber security and crack down on unjustified data localisation; and develop more open and transparent policies for data sharing around a new concept of “co-ownership.

  • New Horizons for a Data-Driven Economy

    A Roadmap for Usage and Exploitation of Big Data in Europe. This book reports on preparatory work toward an important policy objective of the European Commission: turning Europe into a safe and privacy-respecting society that thrives by extracting maximum value from the data it produces and reuses, be it in support of important societal goals or as fuel for innovation in productive activities.

  • Europe Should Embrace the Data Revolution (ITIF)

    Data-driven innovation is unlocking new opportunities for Europe to grow its economy and address pressing social challenges. While Europe has achieved some early successes in data-driven innovation, including in areas such as education, energy, environmental management, health care, open data, smart cities, and smart manufacturing, it has not yet come close to reaching its full potential. The primary obstacle is that Europe’s policymakers, both in its capital cities and in Brussels, have not yet fully embraced data-driven innovation as a core driver of economic and social progress. To inject new leadership into this debate, Member States should appoint national chief data officers to not only champion data innovation domestically, but also serve on a new, independent advisory panel charged with counseling the European Commission on how to seize opportunities to innovate with data.

  • Blazing the Trail From Data to Insight to Action (Forbes, SAS)

    Marketing executives say there is a direct correlation between well-designed customer analytics programs and success in the marketplace, yet the infrastructures and processes they require to support and sustain such efforts—to advance from data to insights to action—still lag. This report is based on data from a survey of 105 executives of large global organizations, conducted by Forbes Insights in partnership with SAS.

  • The Opportunities and Ethics of Big Data (Royal Statistical Society)

    The Royal Statistical Society has published a report summarising the discussions that took place during a two-day consultation on the opportunities and ethics of big data.

  • Data Report Archive (O'Reilly)

    An archive of all O'Reilly data reports is available for free download. Dive deep into the latest in data science and big data, compiled by O'Reilly editors, authors, and Strata speakers.
    Latest reports:

    • Data, Tecnology & the Future of Play: Understanding the Smart Toy Landscape
    • Data Science, Banking and Fintech: Fitting It All Together
    • Big Data Now: 2015 Edition. Current Perspectives from O'Reilly Media
  • Digital globalization: The new era of global flows (McKinsey Global Institute)

    Soaring flows of data and information now generate more economic value than the global goods trade.

  • TechRadar™: Big Data, Q1 2016 (Forrester Consulting)
    To remain competitive, firms absolutely must mine insights from vast and diverse data sets. However, the complexity of the big data technology ecosystem can stall key initiatives to improve customer experience and operational efficiency. This report uses Forrester's TechRadar™ methodology to evaluate the maturity and trajectory of 22 different technologies across the entire data life cycle. Enterprise architects should use this TechRadar to understand the different types of big data technologies, prioritize future investments, and ensure that they're building a comprehensive platform to turn insights into action.
    Forbes review:
  • Big Data: A Report on Algorithmic Systems, Opportunity, and Civil Rights (White House)

    Latest White House report on Big Data charts pathways for fairness and opportunity but also cautions against re-encoding bias and discrimination into algorithmic systems.

  • Building an Accounting and Finance Team to Capitalize on the Promise of Big Data (Robert Half International)

    Big data holds the promise of unprecedented business understanding. Yet, finance teams cannot fulfill that promise without people with the right skills to analyze and interpret that data. 90% of finance leaders and managers report difficulties hiring staff with business analytics expertise. In this new report, Building a Team to Capitalize on the Promise of Big Data, developed by Robert Half and the Institute of Management Accountants provide actionable insights to improve business analytics success.

  • Health Care Gets Personal (SAP, Oxford Economics)

    A new approach to research, pharmaceutical development, and clinical practice is remaking healthcare. Known as personalized medicine or precision medicine, it uses genetics, genomics, and Big Data to move beyond the familiar one-size-fits-all models of prevention, diagnosis, and treatment. The goal is individualized care, with a promise of improved patient outcomes and progress against previously intractable illnesses, along with cost savings and greater efficiency across the healthcare system.

  • Operator Survey on Practical Applications of Big Data (Openet)

    Survey of over 1500 telecoms professionals highlights applications where big data can make an impact. As big data begins to emerge from the hype cycle, service providers are now looking at practical applications of big data. Intelligence, in association with Openet, surveyed over 1500 telecoms professionals to get their views on a wide range of big data subjects.

  • Exploring the Boundaries of Big Data (WRR)

    Big Data is making headlines almost every day. Intelligence services are investing in it to combat global terrorism; companies are using it to optimize and personalize their services; and the healthcare industry is adopting data analytics to improve delivery of medical care. But are these hopes realistic? And what are the potential downsides of using Big Data?

  • Big data - fuelling the economy of the future (European Comission)

    Recognising the need to exploit their full potential to boost the competitiveness of EU industry, Commissioner Elżbieta Bieńkowska announced today the results of a report on big data prepared by the Strategic Policy Forum on Digital Entrepreneurship during the 'Digitising European Industry' conference, organised by the European Commission at the Hannover Messe.

  • The Hadoop Performance Myth: Why Best practices can lead to underutilized clusters, but new tools can help (O'Reilly)

    Organizations have been pushing Hadoop and other distributed systems to their breaking points as they seek to use clusters as shared resources across multiple business units and individual users. Once they hit the performance wall, companies will find it almost impossible to deliver on the big data promise at scale.
    In this report, we'll examine the root cause of the performance barriers and explain how today's touted best practices can (and will) fall short. Then we will discuss new ways of addressing the performance challenges so organizations can improve performance, do more with existing resources, and ultimately get the return they are looking for on their big data investments.

  • Global Big Data as a Service Market 2016-2020 (Technavio)

    This market research report presents a detailed segmentation of the global big data as a service market by application (HaaS, analytics as a service, and data PaaS), by end-user (financial services, telecom, oil and gas, retail, and others), and by geography (Americas, APAC, and EMEA). The key vendors identified in the market are HP, IBM, SAP, SAS, and Teradata.

  • Building Global Interest in Data Literacy: A Dialogue-Workshop Report (EDC’s Oceans of Data Institute (ODI))

    What does it mean to be data literate in the world of “big data”? What should we be teaching students to better prepare them to participate in today’s workforce and society? What steps need to be taken to develop critical data literacy skills in schools? To seek answers to these questions, EDC’s Oceans of Data Institute (ODI) convened an expert panel of both data analysts and educators for a workshop on data literacy.

  • Perspectives on Big Data, Ethics, and Society (Council for Big Data, Ethics, and Society)

    The Council for Big Data, Ethics, and Society publishes a comprehensive white paper consolidating conversations and ideas from two years of meetings and discussions.

  • Competition Law and Data (French Autorité de la concurrence and the German Bundeskartellamt)

    The increasing collection, processing and commercial use of data in digital markets has prompted a broad debate about the role of data in corporate strategies and the application of competition law to such strategies. Today several firms achieve high turnovers based on business models which involve the use of data. In a joint project - Report Competition Law and Data- the French Autorité de la concurrence and the German Bundeskartellamt have analysed the implications and challenges for competition authorities resulting from data collection in the digital economy and other industries.

  • The Big Data Payoff: Turning Big Data into Business Value (Informatica and Capgemini)

    The ultimate success of Big Data projects lies in realizing business value. Achieving that goal is rarely easy, but a comprehensive survey in 2016 of US and European executives involved in Big Data initiatives reveals that many are making progress in operationalizing their projects, and a significant number of them are generating business value. This research report details the survey findings and in-depth interviews with key executives. It reveals the critical differences between companies that have achieved business value from their Big Data initiatives and those that have not.

  • Defining the future of travel through intelligence: Turning big data into meaningful insights (Amadeus)

    Big data and analytics has a pivotal role to play as the travel industry continues to evolve: new entrants are disrupting all facets of the travel industry, and new traveller expectations are challenging all of us to continually improve how we operate. New sources of data and information are prompting travel brands to innovate in terms of how travel is sold, how travellers are serviced and how disruption is managed. Over the last ten years, we have seen two important trends emerge. Firstly, there has been an exponential rise of data and information. Secondly, there has also been an increasing scale of computing power and storage capability, which is able to assimilate, process and work with multiple and complex data sources to generate insights and action. Our new discussion paper, Defining the future of travel through intelligence, examines this new landscape and outlines how travel companies can harness the power of big data, analytics and experimentation to seize opportunities, address challenges, and thrive in a rapidly-changing environment.

  • Infographics: Big Data & Analytics Trends – 2016 (Aureus Insights)

    The Big Data and Analytics acceptance and usage has come a long way since it was first introduced. Over the last few years we have seen a lot of industries adopt advanced analytics as a core part of their overall strategy. And this adoption has been across the board and not restricted to any particular function. Leaders are increasingly banking on analytics to help make decisions smartly and quickly. The job description of a data scientists has now expanded to include the understanding of the domain also. In the Big Data and Analytics Trends Report 2016, we have highlighted the key trends that will shape 2016. In this third edition of our trend report, we see an increased demand for real time analytics and the development of an ecosystem to support it. We also foresee analytics being handled by end users themselves in self-service mode. Expect more intelligence from the analytics toolset and use of rich data types.

  • New Horizons for a Data-Driven Economy: A Roadmap for Usage and Exploitation of Big Data in Europe (José María Cavanillas, Edward Curry, Wolfgang Wahlster)

    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 Big Data Market: A Data-Driven Analysis of Companies Using Hadoop, Spark, and Data Science (O'Reilly)

    Which companies have adopted technologies such as Hadoop and Spark, as well as data science in general? And which industries are lagging behind? This O’Reilly report provides the results of a unique, data-driven analysis of the market for big data products and technologies.

  • Data Science in the Cloud with Microsoft Azure Machine Learning and Python (O'Reilly)

    Learn how to construct and evaluate machine learning models with Azure ML by going through a complete data science example in this report-as well as extend Azure ML with downloadable Python code to perform data munging, visualizations, and performance evaluation. At the end, you’ll learn how to publish your trained models as web services in the Azure cloud.

  • Analyzing Data in the Internet of Things: A Collection of Talks from Strata + Hadoop World 2015 (O'Reilly)

    This report dives into IoT through talks and case studies from Strata + Hadoop World conferences in San Jose, NY, and Singapore. Explore topics like the use of sensors to generate predictions, using data to create predictive maintenance applications, and modeling the smart and connected city of the future with Kafka and Spark

  • Data Science for Modern Manufacturing: Global Trends: Big Data Analytics for the Industrial Internet of Things (O'Reilly)

    The world’s leading nations are standing at the precipice of the next great manufacturing revolution—one in which the Industrial Internet of Things (IIoT) and big data analytics are already making a major impact. In this O’Reilly report, author Li Ping Chu shares insight from industry experts and explores recent manufacturing initiatives in China, Germany, and the US to provide a succinct, hype-free overview of related technologies and applications.

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