Information of big data on economic warfare. There

InformationTheory At The Age Of Big DataYourFirstName YourLastNameUniversity titleInformationTheory at the age of big dataAbstract While talkingabout big data it is important to understand that there is a mix ofmulti-structured and unstructured which then refers to the volume ofinformation.

It is therefore important to break down these two types of data;first unstructured data is the kind of data that is not easily interpreted bynormal databases. This is the kind the kind of data that is not organized inany particular manner to ease analysis by data models, it is because of itheavy on texts. For instance, text social media posts, tweets on twitter andmetadata (GLANZ, J. (2018).). Second, some the examples of this data are websitelog data, this is believed to be a combination of images, which includes formoperation data and that has a combination of text also. There is an evolutionof multi-structured data that is majorly affected by the changing face of dayto day digital disruption.

Today in marketing, there is need to understand bigdata as a company, this is a huge way for the direction any organizations aresupposed to take towards future of marketing, in addition to targeted promotionof products (Deacon, T. W. (2017). The whole process is called data-drivenmarketing, which is the future of marketing, all the information covered inboth areas is too big for traditional forms of information processing.

IntroductionEconomicwarfare has taken another form as the emergence of the use of big data can besaid to have to change the battleground.  The aim of this paper will be toweigh the effect of big data on economic warfare. There is a need for acoherent system that confines the component bywhich efficiency is raised and is measurable.To state for illustration that Big Data producesa parcel of volume does not show how it wouldraise efficiency while at the same time therefore how can it be utilizedto become one of the best ways to increase volume and at the same time raisethe level of work output, while to attest that itwill permit costs to be diminished does not take account ofthe point that the gatheringand handling of Huge Information will itself likely bringabout costs. For an improved predictive behaviour and of a competitor bigdata shall pay a major role in the determination of a competitor’s way ofthinking so as to know the best manner to counter the move. This is the type ofwarfare that shall be focused on tearing down countries by the use of big datato direct the attacks on the most vulnerable areas of the economy which willthen lead to an economic meltdown (Goodridge, P. R., & Haskel, J.

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(2015). This paper is research about how big data shall be of impact to moderneconomic warfare. Information theory In thetrajectory of information technology, there is a common understanding that thata way in which the understanding in of multiple fields can be done. The mannerin which information is dealing with, for instance, the way big data isprocessed. Processes can be narrowed down to the operation of particulardevices that are utilized in a number of devices used in these operations. Thevariety and volume of big data as increased to the exponentially. In economicwarfare, it is important to note that utilization of information theory instudying and analyzing big data would make a huge difference between the sidethat wins and that other that loses. This would mean that finds from the datacan be exploited effectively to then identify weak points of states, while atthe same to learn best ways to tear down the economy in question.

Data manipulation  Informationtheory can be applied in an economic warfare for the creation of big data whichwould lead to cannibalization of an economy. This would be a question of whoeat the bait. It would involve feeding economies false information which wouldbe the impression that the companies are headed for a breakthrough in the useof this data land than on an economic firestorm, instead of the creation of newopportunities as many would be expecting. According to Robert J. Gordon, aprofessor of economics at Northwestern University, this would be termed as aneconomic punch which would lead to one side losing to the other.

  Global expansion rues  Exploitationof big data by information theories would lead to the false representation ofan economies growth that would then be an effective way to crash an economy. Itcan also be done in real time to influence the manner in which an economygrows. This would lead to a drop in benefits big data because it would becomeclear when there is an over the sale. By creating big disruption in the patternof growth upwards that would then be a problem in the way an economy is run,leading to a fall in an economy (Shambaugh, 2018).  Conclusion In conclusion,big data has the ability to destroy economies when utilized in an informationtheory while considered in an economic warfare.

The use of data manipulation,global expansion rules and defective information theory would lead to a greatway of taking part in an economic warfare.                               References  Deacon, T. W.(2017). Information and reference. In Representation and Reality inHumans, Other Living Organisms and Intelligent Machines (pp. 3-15).

Springer, Cham.The economicimpact of Big Data – Think Tank. (2018). Europarl.europa.eu. Retrieved 20January 2018, fromhttp://www.europarl.

europa.eu/thinktank/en/document.html?reference=EPRS_ATA(2016)589802Economicwarfare | international law. (2018). Encyclopedia Britannica.

Retrieved 20January 2018, from https://www.britannica.com/topic/economic-warfareGLANZ, J.(2018). Is Big Data an Economic Big Dud?. Nytimes.com.

Retrieved 20 January2018, from http://www.nytimes.com/2013/08/18/sunday-review/is-big-data-an-economic-big-dud.html?pagewanted=allGoodridge, P.

R., & Haskel, J. (2015). How does big data affect GDP? Theory and evidencefor the UK.Informationtheory | mathematics. (2018). Encyclopedia Britannica. Retrieved 20 January2018, from https://www.britannica.com/topic/information-theory