Uses of Big Data in Business Organizations- a case study of UBER in taxi industry Name of Student: Pradeep kaur Student ID:NPI 3148 Name of University: HOLMES COLLEGE Author’s Note:   Table of Contents 1.0 Introduction: 2 1.1 Significance of Study: 2 1.2 Research Aims: 3 1.3 Research Objectives: 3 1.4 Research Questions: 3 1.5 Research Hypothesis: 4 1.6 Conclusion and Gnatt Chart 4 Reference: 6   1.0 Introduction: It has been witnessed many times that an unruly force’s entry into the marketplace creates enough perplexity and incomprehension. This research proposal would be dealing with the entry of UBER that has generated disruption using its Big Data. UBER’s use of Big Data has been able to clear its aim in clearing off its unpending policy focusing on the transport industry. UBER has been able to meet the general needs of the taxi industry and its success relies on its effective use of the Big Data. Using this Big Data, UBER has been able to recognize and gather significant information about their customers and knowing them in better way on an individual basis. Big Data has helped UBER in knowing the places their customers would visit, enhancing the customer service level to a certain point that can only be trance by the taxi companies . It has been able to collaborate with the hotel chains along with offering customers special rates of discount. 1.1 Significance of Study: This study’s significance is about understanding the big data effects and its impact on the transportation industry. UBER’s tactics have come under huge criticism with complaints being that it has been attacking other transport models by using this Big Data. The important thing about UBER is that it moves people around the world without possessing any cars whereas data stirs UBER. UBER’s idea has been building a company that would be intelligent enough in solving the overall problem of users- Big Data and Data Science are at the focal point of everything that is being done by UBER, like surge pricing, ratings of drivers and guesstimating fares . 1.2 Research Aims: The research aim would be to study the effect of Big Data on the organizations, where in this particular study it would be on UBER, in the context of UK. The main endeavor of the researcher is to use extensive literature in gathering knowledge in this subject matter and carry out a research on the effects of Big Data in transportation industry . Primary research would be taken into account in gathering and recording of data related to satisfaction of customers within the industry. 1.3 Research Objectives: The objectives of the researcher are stated below: • To analyze the affect of Big Data on UBER in the transportation sector • To evaluate the Big Data affect in penetration of UBER in the market of taxi industry in UK • To propose probable policies that should be taken for making the best use of Big Data in the taxi industry 1.4 Research Questions: 1. What are the effects of Big Data on UBER? 2. How Big Data helped UBER gain competitive advantage over traditional taxi industry in UK? 3. What are the possible recommendations in improving the effect of Big Data in the taxi industry in UK? 1.5 Research Hypothesis: H0: Big Data having no significant impact on the success of UBER in UK H1: Big Data having significant impact on the success of UBER in UK 1.6 Conclusion and Gnatt Chart The main idea of this study is to focus on the revolution brought in by UBER through the use of this Big Data. It takes into account the way it has made the best possible use of this data in outperforming others in the taxi industry. Customers have found it easy in booking UBER for their destinations and they are happily riding it. The below timetable would be taking into consideration the time that would be taken in completing the part of literature review, data collection and analysis of the same. Figure 1. Gnat Chart   Reference: Bresnahan, Timothy, and Pai-Ling Yin. "Adoption of new information and communications technologies in the workplace today." Innovation Policy and the Economy 17.1 (2017): 95-124. Cohen, Peter, et al. Using big data to estimate consumer surplus: The case of uber. No. w22627. National Bureau of Economic Research, 2016. Schildt, Henri. "Big data and organizational design–the brave new world of algorithmic management and computer augmented transparency." Innovation 19.1 (2017): 23-30.