Saturday, December 7, 2019

The Use of Big Data to the Uber Free-Samples Myassignmenthelp.com

Question: Discuss about the a Case Study of UBERin taxi industry. Answer: Concept Of Big Data With the massive growth and development in the service sectors, there has demonstrated remarkable growth in the facilities which are provided to the customers. Era of digitalization has given a great course of pavement to the periphery that surrounds around use of internet, digital media and processes. Information in the service industry is of chief significance as they occupy a great area in terms of services that are made faster and quicker to the customers (Cockayne, 2016). Furthermore, the management in this respect of the data becomes very imperative and critical. Information comes in packages and thereby needs to manage so effectively and efficiently. Digitalization has provided a platform where massive and huge information or data packages could be managed and worked upon. In the words of Flyverbom and Madsen (2015), data or information that are part and parcel of service sector revolves around as an interaction package between customers, seller and people associated in between. Initially, in the past the huge form and packages of data are recorded in the supercomputers whereby enlarge space and processors were required. But, due to development in time and generation, the same aspect has been taken over by laptops and now partially synchronizes by mobiles or smart phones. Therefore, it is concluded that big data has no information; rather it carries its own literal meaning. According to the research conducted by Markus and Topi (2015) on understanding the big data, it has been mentioned that Big Data refers to the pre existing information which is actually small in size and even more. Moreover, it is inclusive of information which cannot be transformed in the analysis process rather cannot be processed through the use of traditional approaches and methods. In the words of Howard and et.al (2016), big data is defined as three elements approaches which are namely technology, analysis and mythology. Technology is defined as the use of commuter power that assist in programming the large set of data in terms of collecting information, gathering and filtering for the final usage of the big data. Analysis is a term that implies to the pattern which is developed to set the large data in consideration to external factors such as economical, political, social etc. Lastly, legal element comprises of prevalent conviction pertaining to large data sets. It ensures the maximum kind of intelligence which is imparted. In the words of Marr (2015), big data has been extensively used by the growing business organizations. This is due to the fact that companies are very much involved with the big data era management of same has become very crucial and dominant. Guzzo and et.al (2015) believed that big data has brought the devastating transformation in the world and thereby has greatly helped in sustaining businesses in the long run. With the advancement of the technology, there has been demonstrated great change in the individuals, things and technology associated. This has actually helped the service providing agencies and companies in interconnecting and thence provided a platform to flourish in the very long run. Nobre and Tavares (2017) had focused light on assessing the role and use of big data on the organizations and have stated that companies are required to struggle very hard in order to bring improvisation in performance of the marketing. Due to management of data that is its analysis and evaluation has helped a lot to the industry in effective prediction. Predictive analytics has been considered as the dominant way which is functional to integrated marketing communications (IMC). Critical Detail On The Use Of Big Data To The Uber In the words of Luo and et.al (2017), with the growth and development of the organization, there is always associated a challenge of competition. This indulges disruptive forces that tend to create chaos and adverse impact in the market place. In relation to the chosen firm taken for study that is Uber, it has been analyzed that the respective firm always tries to compute the extent to which they are trending faster than by using traditional sources of providing their taxi services than digitalization. For firms like Uber, maintaining the standards in terms of status is a significant aspect. However, the usage of big data has proved to be positive impact in the eyes of many customers (Michael and Miller, 2013). However, this has been criticize by many authors as well that this development and growth of Uber would likely to influence the entire industry or is just a way to upend its own company and its position. Ubers entry has been critically examined by Rabari and Storper (2014) and thence has been analyzed that they are providing new and cutting edge to the working. The major reason that is actually responsible to Ubers success and development is the use of Big Data tools which are analytics techniques through which Uber is into computation. The main rationale behind this remains always simple and lucid that expels its contribution in gaining customer data information. This enhances their confidence, faith and loyalty towards the company. Another advantage which is actually being conceived by Uber is analyzed that through the use of big Data tools they are gaining good course of benefits in terms of psychological marketing. Through Big Data tools implementation and execution, they are very successful in acquiring customer satisfaction and behavioral aspects along with choice (Afzalan, Evans-Cowley and Mirzazad-Barijough, 2015). This is another way that proves to be of great help in knowing customers very closely and effectively. Through the execution of these analytical tools, the Ubers expansion plans adjoin its success by adjoining the hands of hotels and restaurants where customers are next likely to visit or tour. This is another way of taking customer dream and comfort level to the next course or action. Along with the same, their participation with airports, railway station and even other has helped an in gaining effective potential of the respective business in which service providing companies such as Uber are involved. In connection to big data systems and tactics which are used by service firms such as Uber, the rate of success and growth is rapid. However, in critical opposition to the Uber does to support Big data in acquiring customers information, Shmueli, Patel and Bruce (2016) mentioned that there are people who feel Uber through the big data are influencing individuals and rushing them towards rivals and politics. They intend government role to keep Uber out from the same. Transportation providing service companies such as Uber has demonstrated a fact that by owing traditional means of approach, they have hold a great efforts on Big Data. This is essentially being covered due to rising competition and number of similar service providing agencies. It has been estimated that the rate at which people are indulging in using taxi service is rising day by day to the very great extent. As per the facts and figures assimilated, it can be stated that in 2012, by suing the traditional way of offering big data based services, effect that is made by Uber on transportation might just be greater advancement (Barnes, 2013). Rising rate of rivalry usually leads to more infiltrates and new contributions. This is actually the scenario which is going through the other taxi service providing firms. Aufderheide (2015) explained that there are also other firms who believe in welcoming services which are tech savvy. They occupy to play major role in using e-hailing programs that are developed to fight with the Uber and other similar organizations. There are other taxi companies who went into process of lowering costs. This is the reason that is induced just to attract and appeal people to use their facilities. The rationale behind this innovation and idea is just to occupy evolving place in the market arena thereby just to offer better services to the customers. As explained by Taylor and Richter (2015), the commotions that are demonstrated in the recent past years are just the commencement of another level of success and revolution. Big data and cloud computing are just the effective facilities are more inclined towards assisting organization in working out better relations with customers in the long run. With the Big Data usage and aspect, Uber has surely assisted itself to the great limit in occupying good position in the entire transportation industry References Afzalan, N., Evans-Cowley, J. and Mirzazad-Barijough, M., 2015. From big to little data for natural disaster recovery: how online and on-the-ground activities are connected. ISJLP, 11, p.153. Aufderheide, P., 2015. Conversations About Impact in Documentary: Beyond Fear and Loathing. Browser Download This Paper. Barnes, T.J., 2013. Big data, little history. Dialogues in Human Geography, 3(3), pp.297-302. Cockayne, D.G., 2016. Affect and value in critical examinations of the production and prosumptionof Big Data. Big Data Society, 3(2), p.2053951716640566. Flyverbom, M.I.K.K.E.L. and Madsen, A.K., 2015. Sorting data outunpacking big data value chains and algorithmic knowledge production. Die Gesellschaft der Daten. ber die digitale Transformation der sozialen Ordnung. Guzzo, R.A. and et.al., 2015. Big data recommendations for industrialorganizational psychology. Industrial and Organizational Psychology, 8(04), pp.491-508. Howard, P.N. and et.al., 2016. Creativity and critique: Gap analysis of support for critical research on big data. Luo, X. and et.al.,2017. Analysis on spatial-temporal features of taxis' emissions from big data informed travel patterns: a case of Shanghai, China. Journal of Cleaner Production, 142, pp.926-935. Markus, M.L. and Topi, H., 2015. Big data, big decisions for science, society, and business. ACM Digital Library, New York. Marr, B., 2015. Big Data: Using SMART big data, analytics and metrics to make better decisions and improve performance. John Wiley Sons. Michael, K. and Miller, K.W., 2013. Big data: New opportunities and new challenges [guest editors' introduction]. Computer, 46(6), pp.22-24. Nobre, G.C. and Tavares, E., 2017. Scientific literature analysis on big data and internet of things applications on circular economy: a bibliometric study. Scientometrics, 111(1), pp.463-492. Rabari, C. and Storper, M., 2014. The digital skin of cities: urban theory and research in the age of the sensored and metered city, ubiquitous computing and big data. Cambridge Journal of Regions, Economy and Society, p.rsu021. Shmueli, G., Patel, N.R. and Bruce, P.C., 2016. Data Mining for Business Analytics: Concepts, Techniques, and Applications with XLMiner. John Wiley Sons. Taylor, L. and Richter, C., 2015. Big data and urban governance. In Geographies of urban governance (pp. 175-191). Springer International Publishing.

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