Inventive Investment Using Bigdata: Tools, Applicability and Challenges Associated

Abstract

Traditional investment models have reached to a saturation level that it is easily recognizable to determine and demonstrate their inadequacy against the current huge data-based investment models. Big Data is taking all management spheres by storm be it marketing, financing or investment. Today colossal and developing volumes of data are being generated and analysed upon to arrive at meaningful solutions. Big Data analytics joined with the business models can make wonders in the company gains. The Big data analytics will permit organizations to test hypotheses continuously and see the probable outcomes of each hypothesis before bringing the same to the market. This reduces the risks of loss and accelerates the benefits of the organizations tremendously. Insights from large information investigation have the likelihood to empower business process significantly. One important advantage of Big Data analytics is to extract the patterns from the data, and client inclinations and accordingly assist organizations with making effective decisions in business, administrations, and other relevant items. The utilizing of Big Data and machine learning algorithms to dissect the Big information for any association, can take care of issues in different verticals and estimate the business future with more noteworthy speed and unwavering quality. Information investigation has been in the Business Intelligence space for a serious long time giving ‘Point answers’ for explicit issues in any business. The focus of this chapter is to understand these algorithms and their efficacy in the different business scenarios.