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Information capital

From Wikipedia, the free encyclopedia

Information capital is a concept which asserts that information has intrinsic value which can be shared and leveraged within and between organizations. Information capital connotes that sharing information is a means of sharing power, supporting personnel, and optimizing working processes.[1] Information capital is the pieces of information which enables the exchange of Knowledge capital.

Overview

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In management, information capital is usually described as a set of data which are valuable for organisation and can be reached through different data storing systems, such as intro and internet systems, computer databases, libraries, and information sharing networks.[2] Information capital can be used not only by organisations but by individuals as well. For example, if use of information capital enables an individual to analyse his spending on a certain type of products and determine how it compares in relation to his spendings on other products or to the spendings of other people, this might affect his future purchasing decisions.[3] In the Information Era, efficient use of information capital highly depends on information capital readiness with IT, as information capital derived from information systems readiness. So companies which are investing more in IT systems might get competitive advantage over other businesses[4]

Information capital market

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Information capital markets are commercial markets for the buying and selling of information and data. These markets connect data aggregators with organisations and individuals who need information for business, scientific or any other purposes. Regulating acts such as Data Protection Act 1998 and Data Protection Directive are imposed to control information capital market and prevent inappropriate usage of personal information by data aggregators or any other individuals and organizations. Although information has been bought and sold since ancient times, the idea of an information marketplace is relatively recent.[5] The first Information market has formed around the Credit bureau type of organization for the exchange of personal information in the financial industry.[6] But since that time Information market have changed radically. Nowadays Information markets are mainly hosted on electronic based data aggregation systems. Vast majority of them are accessible for both governments and organizations within corporate or any other sectors.[7] Some information capital market platforms can be accessed directly by the public, for example SocialSafe Ltd which is social media backup tool that also allows users to download their content from a variety of social networks to their own personal data store and then sell this information directly.[8]

Era of Big data

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Big data is large amounts of information which are so massive and complex that they become impossible to analyse using traditional data processing technologies, requiring special technologies instead.[9] Recent advances in big data analyses have a potential to change the way information capital market operates nowadays, because if commercial organisations will be able to analyse and structure information about millions of people in any part of the world, this will negate the value of information which comes from one individual or organization, and will allow companies to make faster and more accurate data-driven decisions. Some scientists even predict that advances in big data analysis will have even larger effect on information capital market than the creation of the internet.[10]

List of companies operating in big data analytics:

IBM - IBM offers DB2, Informix and InfoSphere database software, Cognos and SPSS analytics applications, and Global Services division.[11]

HP - HP is a major provider of big data software analysis tools.

Oracle - Oracle develops both hardware and software products for big data processing. They include Oracle NoSQL Database, Apache Hadoop, Oracle Data Integrator and many other.

SAP - SAP is a largest provider of software appliances for big data handling and analytics.[12]

Microsoft - Microsoft in partnership with Hortonworks offers the HDInsights tool which is used to analyse unstructured information provided by data aggregators.

Google - Google is working on development of BigQuery - first cloud-based big data processing platform.

See also

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References

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  1. ^ Albert Wee Kwan Tan; Petros Theodorou (1 January 2009). Strategic Information Technology and Portfolio Management. Idea Group Inc (IGI). pp. 254–. ISBN 978-1-59904-689-1.
  2. ^ Robert Kaplan; David P. Norton (30 December 2013). Strategy Maps: Converting Intangible Assets into Tangible Outcomes. Harvard Business Press. pp. 179–. ISBN 978-1-4221-6349-8.
  3. ^ "Are You Maximizing Your Information Capital? | Innovation Insights | WIRED". www.wired.com. Archived from the original on 2014-04-07.
  4. ^ Masanobu Kosuga, Yasuhiro Monden; Yasuhiro Monden (1 January 2007). Japanese Management Accounting Today. World Scientific. pp. 125–. ISBN 978-981-277-973-1.
  5. ^ Alessandro Ludovico (2012). Post-digital Print: The Mutation of Publishing Since 1894. Onomatopee. ISBN 978-90-78454-87-8.
  6. ^ United States. Congress. Senate. Select Committee on Small Business (1980). The Impact of Commercial Credit Reporting Practices on Small Business: Hearings Before the Select Committee on Small Business, United States Senate, Ninety-sixth Congress, First Session ... October 31 and November 1, 1979. U.S. Government Printing Office. {{cite book}}: |author= has generic name (help)
  7. ^ Commission on Physical Sciences, Mathematics, and Applications; Computer Science and Telecommunications Board; Committee on the Internet in the Evolving Information Infrastructure; National Research Council, Division on Engineering and Physical Sciences (22 January 2001). The Internet's Coming of Age. National Academies Press. pp. 136–. ISBN 978-0-309-06992-2.{{cite book}}: CS1 maint: multiple names: authors list (link)
  8. ^ Fernando Francisco Padró (1 January 2004). Statistical Handbook on the Social Safety Net. Greenwood Publishing Group. pp. 1–. ISBN 978-1-57356-516-5.
  9. ^ Anand Rajaraman; Jeffrey David Ullman (27 October 2011). Mining of Massive Datasets. Cambridge University Press. ISBN 978-1-139-50534-5.
  10. ^ Viktor Mayer-Schönberger; Kenneth Cukier (2013). Big Data: A Revolution that Will Transform how We Live, Work, and Think. Houghton Mifflin Harcourt. ISBN 978-0-544-00269-2.
  11. ^ Paul Zikopoulos (1 October 2011). Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data. McGraw Hill Professional. ISBN 978-0-07-179054-3.
  12. ^ Financial Times (29 January 2013). Decoding Big Data. Penguin Books Limited. pp. 13–. ISBN 978-0-670-92384-7.
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