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Big Data Innovation
The Big Data Innovation Magazine.
Uploaded by innovationenterprise on 12/17/2012
Digital publication details: 14 pages.

Big Data Innovation, Issue 2
In this issue we look at the most innovative and engaging ideas affecting those working within big data and analytics
Uploaded by ieg. on 05/07/2013
Digital publication details: 24 pages.

Considerations for the Adoption of Cloud-based Big Data Analytics in Small Business Enterprises
This study explores the various adoption criteria that may guide the information technology (IT) professionals in small business enterprises (SBEs) in their decision to adopt cloud-based big data analytics (CBBDA). The research was guided by three major theories of technology adoption, which were: diffusion of innovation, theory of technology acceptance model, and the theory of technology-organization-environment framework. The study was based on a sample of 20 IT professionals from10 SBEs in the state of New Jersey in the United States. The exploratory qualitative research used semi-structure questionnaires to conduct one-on-one interviews with the participants. The results were coded to identify the emergent themes. The study found two categories of CBBDA adoption criteria; they were: (a) internal technology adoption criteria, which were found to be unique to each SBE and (b) external technology adoption criteria, which were found to be uniform to all the SBEs. The internal...
Uploaded by on 02/04/2019
Digital publication details: 17 pages.

Innovation Excellence Weekly - Issue 17
We are proud to announce our seventeenth Innovation Excellence Weekly for Issuu. Inside you'll find ten of the best innovation-related articles from the past week on Innovation Excellence - the world's most popular innovation web site and home to 5,000+ innovation-related articles.
Uploaded by innovationexcellence on 01/26/2013
Digital publication details: 42 pages.

DC Big Data Exploration Final Report
More than 150 topic experts, data scientists, civic "hackers," civil society groups and development practitioners gathered at the World Bank on March 15-17, 2013 for the DC Big Data Exploration event. Working alongside Bank experts on the Poverty and Fraud & Corruption teams, data scientists uncovered new ways of collecting, exploring, and visualizing data to maximize their impact. The collaboration between the two communities yielded new insights from World Bank data, devised new ways of using existing big data sources for monitoring poverty and corruption, and created entirely new streams of data that the Bank and its partners can use in future research.
Uploaded by on 05/12/2013
Digital publication details: 55 pages.

Global Innovation Index
INSEAD and the World Intellectual Property Organization (WIPO, a specialized agency of the United Nations) co-publish The Global Innovation Index (GII) since 2012. This year in its fifth edition, the GII was previously published by INSEAD. The GII recognizes the key role of innovation as a driver of economic growth and prosperity and acknowledges the need for a broad horizontal vision of innovation that is applicable to both developed and emerging economies, with the inclusion of indicators that go beyond the traditional measures of innovation (such as the level of research and development in a given country). The GII has evolved into a valuable benchmarking tool to facilitate public-private dialogue, whereby policymakers, business leaders and other stakeholders can evaluate progress on a continual basis.
Uploaded by soporte_itimes on 10/26/2012
Digital publication details: 464 pages.

The Market Research Year in Review - 2012/13 | Face Facts Research
What has summed up your year in MRX? Which events and themes have rung true? What will the industry look like in 2013? Join us and download for a review of the year lead by some of the industries finest, including: Alison White, John Griffiths, Angry MR Client, Leonard Murphy, Ray Poynter, Annie Pettit and Betty Adamou.
Uploaded by facefactsresearch on 12/18/2012
Digital publication details: 11 pages.

Balance Your Supply Chain with Big Data
NOW, let us bring Big Data into the picture and see how this outlook changes. A Big Data problem exists if data Volume, Velocity and Variety become difficult or impossible to store, process, and analyze using traditional technology and methods. With Big Data technologies, the capability to find answers faster and cheaper has grown exponentially.
Uploaded by bodhtree on 12/10/2012
Digital publication details: 7 pages.

Technology Decisions Dec 2012/Jan 2013
Published bi-monthly, Technology Decisions keeps senior IT professionals abreast of the latest trends, technology advances and application solutions in the ever-changing info tech sector across Australia and New Zealand. Technology Decisions has an editorial mix of expert analysis, industry commentary, feature articles, analyst and peer2peer columns, case studies and the latest in software releases and development, making it a ‘must read’ for IT leaders in every type of organisation, from SMBs to enterprise and government. Material covered includes everything from IT security and storage through to cloud computing, mobility developments and complex communications systems and infrastructure solutions.
Uploaded by westwick-farrowmedia on 12/03/2012
Digital publication details: 44 pages.

Big Data and Knowledge Management: Establishing a Conceptual Foundation
Abstract: The fields of knowledge management and intellectual capital have always distinguished between data, information, and knowledge. One of the basic concepts of the field is that knowledge goes beyond a mere collection of data or information, incl uding know-how based on some degree of reflection. Another core idea is that intellectual capital, as a field, deals with valuable organizational assets which, while not formal enough to rate a designation as intellectual property, still deserve the atte ntion of managers. Intellectual capital is valuable enough to be identified, managed, and protected, perhaps granting competitive advantage in the marketplace. So what do we make of current trends related to big data, business intelligence, business anal ytics, cloud computing, and related topics? Organizations are finding value in basic data and information as well. How does this trend square with the way we conceptualize intellectual capital and value it? This paper will work...
Uploaded by on 09/28/2014
Digital publication details: 9 pages.
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