E-ISSN: 9552-2692
P-ISSN: 2395-6590
DOI: https://iigdpublishers.com/article/431
Big Data represents a fundamental shift in business decision making. Organizations are used to analyzing internal data– sales, shipments and inventory. Now they are increasingly analyzing external data too, gaining new insights into customers, markets, supply chains and operations. The need for Big Data solutions is becoming a reality for more and more companies. This paper provides valuable insight into developer opinions. Over the last 20-30 years with the implementation of enterprise applications, there is a tremendous amount of data that has been captured. The early wave of business intelligence tools have attempted to provide reporting and analysis of this data. The rapid growth of cloud computing and the Internet of Things (IoT) further promote the sharp growth of data. In the paradigm of IoT, sensors all over the world are collecting and transmitting data which will be stored and processed in the cloud. The intent of this paper is to provide supplemental guidance about the business factors that drive the adoption of big data analytics and also by explaining the reasons why adoption is compelling. Up until the mid-nineties, data acquisition and processing have primarily been carried out manually using passive keyboards. The article also focused that appropriate investment in Big Data will lead to a new wave of fundamental technological advances that will be embodied in the next generations of Big Data management and analysis platforms, products, and systems. Big data allows manufacturing, production and research processes to be more efficient and cost effective. It should help cut through the clutter of opinion and guide a targeted approached based on underlying insights. Those who can successfully distill the data will have a significant competitive advantage. More people have more access to more technology than ever before. This article shows
unmistakable signs that technologies used to manage, analyze, report and make business decisions from big data are becoming easier to use and are more widely available to employees in companies large and small.
Venkerta N. PhD
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