Statistical tool used for the analysis is multiple regressions. Convenience sampling method is used for selection of sample. During survey a structured questionnaire was filled. A survey has been carried out for gathering required information from petty contractors serving for this power plant as well as petty traders and petty service providers to the people living in township of this power plant. This paper presents the findings emerged from analysis of developed business opportunities for people with different personal characteristics. Due to construction of this project business opportunities developed for petty contractors / traders / service providers. Kalisindh Thermal Power Project is constructed near village Undal in State Rajasthan. In this study relation between personal characteristics and change in living standard has been analyzed. People with different personal characteristics may have different abilities to plan and execute the same work in a different manner. As they cash the opportunities, they change in their income status and henceforth their standard of living. They get benefits from the business opportunities developed in environment due to construction of any project. ![]() These personal characteristics influence their career. Their personal characteristics such as gender, age, marital status, work experience, education etc. ![]() ![]() This paper primarily focuses on discussing the various technologies that work together as a Big Data Analytics system that can help predict future volumes, gain insights, take proactive actions, and give way to better strategic decision-making.Įvery person is unique in this world. The type of information being created is no more traditional database-driven data referred to as structured data rather it is data that include documents, images, audio, video, and social media contents known as unstructured data or Big Data. The reason organizations are collecting and storing more data than ever before is because their business depends on it. The rapid rise of the Internet and the digital economy has fuelled an exponential growth in demand for data storage and analytics, and IT department are facing tremendous challenge in protecting and analyzing these increased volumes of information. Big Data Analytics is a way of extracting value from these huge volumes of information, and it drives new market opportunities and maximizes customer retention.
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