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Volume & Issue no: Volume 6, Issue 4, July - August 2017

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Title:
Big Data Analytics: An Imperative Contrivance for Startups
Author Name:
Vibha Thakur
Abstract:
Abstract Startup India is a main imperative project of the Government of India, premeditated to build a tough eco-system for promoting improvement and Startups in the country that will impel sustainable economic growth and generate huge scale employment opportunities. The Government all the way through this initiative intends to empower Startups and budding Entrepreneurs to grow through innovation and design. Big data can help startups understand their markets, products, and customers better than ever. It can also uncover hidden opportunities for growth and success. Any data that is too large to manage and yet at the same time helps identify problems, recognize patterns, and gain meaningful insights is Big data. The Big data—more particularly the insights from this data assist drive sales, forecast outcomes, make use of human resources better, and even contribute to worker contentment. There has been a significant shift in the way businesses gather and analyze Big Data. It only makes sense for small businesses to harness Big Data ventures in terms of strategic planning for improvement as well as growth of the organization. Big Data can enhance Market-Research through predictive analytics, particularly in those companies that hold large customer information warehouses, can append information to survey data to add segmentation value. Inside the social networking, Sentiment Analysis, Text Analytics, and Social Network Visualization are important tools to add texture to a full-service marketing research. This makes it important to study about the newer techniques of data analysis for better strategic control over business processes. Keywords: Big data, Entrepreneur, Startups, Market- Research
Cite this article:
Vibha Thakur , " Big Data Analytics: An Imperative Contrivance for Startups" , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS) , Volume 6, Issue 4, July - August 2017 , pp. 162-165 , ISSN 2278-6856.
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International Journal of Emerging Trends & Technology in Computer Science (IJETTCS)
ISSN 2278-6856
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