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    IMPACT OF SOCIAL MEDIA ON PERSONALITY DEVELOPMENT AMONG THE MILLENNIALS – A CONCEPTUAL STUDY
    (PRERANA Journal of Management Thought and Practice, 2017-03-17) Kavitha S; Bhuvaneswari R
    Social media is an emerging trend in the world today. Now-a-days, Communication skills are signified by use of Social media networking. Social media is a term used to describe the interaction between groups or individuals in which they create, share or exchange information, ideas, pictures, videos, etc. The term “Millennials” refers to persons born between 1980 and 2000. They are also called as Generation Y and Digital Natives with the highest internet use since the last few decades. The Internet’s instantaneous information, the broad reach of media influences the superior usage of Social media by Gen Y. Therefore, this study attempts to find out the different studies conducted on the influence of social media on personality development among the Millennials.
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    A STUDY ON BIG DATA ANALYTICS IN CAPITAL MARKET
    (Bonfring Intellectual Integrity, 2014-12-29) S, Poornima; R, Bhuvaneswari
    Today’s capital market industry is facing new and increasing challenges, including tighter regulations, higher capitalization rates, changing customer demographics and pressure to grow revenue. Overcoming the obstacles and capitalizing on new opportunities in capital markets demands the right technology to deliver trusted, timely and authoritative capital markets data without increasing data management costs. Big Data’s embrace of existing data models and potentially new ones appears, in the eyes of many data architects, to qualify it for consideration as a solution to this kind of data consistency issue. To accumulate capital, generate high portfolio returns for investors and mitigate risks within regulatory boundaries, financial institutions need high-performance IT infrastructures that meet complex analytical and “Big Data” requirements. With a Big Data platform, stock market traders and investment portfolio managers can process vast amounts of unstructured data to identify the best companies in which to invest. Unstructured public information like company news, product reviews, supplier data and price list change can be processed en masse as Big Data, producing mathematical models that help traders decide which stock to buy or sell. This article addresses the following research questions: (i) How does Big data create value for Capital Market? and (ii) What are the Implementations of Big Data Analytics in the Capital Market Industry?