dc.contributor.author | MALL, AYUSH PRATAP | |
dc.contributor.author | SINGH, NITISH | |
dc.contributor.author | PRASAD, ANKIT | |
dc.date.accessioned | 2022-11-01T04:18:26Z | |
dc.date.available | 2022-11-01T04:18:26Z | |
dc.date.issued | 2022-05-05 | |
dc.identifier.citation | BUSINESS WORLD, PREDICTIVE ANALYTICS | en_US |
dc.identifier.uri | http://10.10.11.6/handle/1/10381 | |
dc.description | What is the status of analytics in your organization? If we are talking about predictive analytics that
describe what has already occurred (e.g., dashboards and scorecards), you are probably pretty far along.
If, on the other hand, we are discussing predictive analytics that forecast what will occur (e.g., regression
analysis, neural networks) or prescriptive analytics that help determine what should occur (e.g.,
mathematical programming), you may have pockets of use, but overall, your enterprise may not be far
along the maturity curve. We will refer to predictive and prescriptive analytics as advanced analytics. In
some enterprises, advanced analytics is moving from being a “nice-to-have” feature to a requirement for
competing in the marketplace. Such enterprises are analytics-based organizations. For example, think of
large online retailers such as Amazon.com and Overstock.com that depend on advanced analytics for
demand forecasting, pricing, dynamic display of product recommendations,customer segmentation
analysis, campaign management, customer lifetime value analysis, and more. Other companies turn to
advanced analytics to seize market opportunities. | en_US |
dc.description.abstract | By the emergence and development of the new technologies in economy, the level of competition raised
several times faster than the previous periods. Companies are facing the challenge of diminishing the production
costs on high quality goods by implementing the modern technology in production, management, marketing, sales
and all the other fields of the product realization. This paper is based on wide literature review and researched the
latest virtual world business model tools, such as Virtual and Augmented Reality, the ways of using them in modern
economy. I also investigated the patterns of different companies that applied for these technologies and their
results. I introduced the main features of virtual world, and explored major technology waves that are Augmented
Reality, Virtual Reality, and USEMIR (Ubiquitous Sensory Mixed Reality). Under the concrete examples,
monetization of the virtual world business models had been explained to the readers. The main direction of my
essay was introducing the previous precedents of technology implementation in macroeconomic level, its gains,
challenges and future perspectives. Article revealed the strong relatedness between the Virtual World and Real-
World Economies. It will be used on conducting surveys for first research. Moreover, readers can get the initial
knowledge on the topic and the patterns that previously were investigated. | en_US |
dc.language.iso | en | en_US |
dc.publisher | GALGOTIAS UNIVERSITY | en_US |
dc.subject | PREDICTIVE ANALYTICS | en_US |
dc.subject | BUSINESS WORLD | en_US |
dc.title | IMPACT OF PREDICTIVE ANALYTICS IN BUSINESS WORLD | en_US |
dc.type | Article | en_US |