Impact of the Big Data Use in Traditional Business

Question: Discuss about theImpact of the Big Data Use in Traditional Business. Answer: Research Problem: At present, most of the business organizations are used to handle a lot of data for their business operations. In this context, the concept of the database management has moved to the big data management. Huge volume of data required for the effective level of management of different types of operations of the organizations. Especially the business organizations which have expanded their business in the international market, the use of the big data is now essential for them because of the large amount of complex data from the various branches. These are some basic facts behind the use of the data (Chen, Chiang Storey 2012). It has been found that the trend of the big data use in the different types of organizations has been increased to a very high level, in the past few years. The main research problem of this study is regarding the potential impacts of the big data use in the traditional business organizations. Research works is required for understanding how the advance technolog ies of the big data analytics are helping the business organizations. The advantages and challenges faced by the business organizations while using the big data analytics have to be analyzed by conducting research area in the present use of the big data analytics in the traditional business organizations. Literature Review: According to Raghupathi and Raghupathi (2014), big data refers to the huge amount of dynamic data that may be created by the human beings or machines (computer systems, mobile, tablets, digital camera, audio recorders or any other relevant devices). Sharda, Delen and Turban (2013) mentioned that Big data requires new, imaginative and adaptable innovation to gather, have and logically prepare the tremendous measure of information. Big data can be also gathered from the internet, social media (Baesens et al. 2014). It is regularly described by the four "V's"; they are Volume, Variety, Velocity and Veracity. Associations must comprehend what bits of knowledge they require with a specific end goal to settle on great vital and operational choices. The initial segment of the test is dealing with the greater part of the available information for distinguishing patterns and connections that will compel advantageous changes in the overall business strategy. The following stride is advancing this authoritative data with that from sources outside the undertaking; this will include well known sources of big data (Fan, Lau Zhao 2015). In a business domain that continually and quickly changes, future expectation turns out to be more critical than the basic representation of verifiable or current points of view. For powerful future forecast, information investigation utilizing measurable and prescient displaying procedures might be connected to upgrade and bolster the association's business technique (Phillips-Wren et al. 2015). The gathering and conglomeration of massive information, and other dat a from exterior area of the venture, empowers the business for building up their own specific systematic limit and capacity, which was just accessible by a set of big business organizations for a long time period. The business organizations should understand what kind of data or information they require to settle on great key and operational choices. The initial segment of the test deals with the majority of the available information to distinguish patterns and associations that will drive useful changes in business conduct. The following stride is enhancing this authoritative data with that from sources outside the endeavour; this will incorporate well known enormous information sources, for example, those made and put away on the web (Liebowitz 2013). In a business situation that always and quickly changes, future forecast turns out to be more vital than the basic perception of authentic or current viewpoints. For compelling future expectation, information examination utilizing factual and prescient displaying procedures might be connected to improve and bolster the association's business system. The accumulation and total of big data, and other data from outside the undertaking, empowers th e business to build up their own expository limit and capacity, which for a long time has just been accessible to a couple of bigger associations (Demirkan Delen 2013). According to Liebowitz (2013), the organizational structure is one of the most important component for using the big data analytics for handling their business operations. The big data cannot be efficiently handled by the use of the traditional data base management system. In order to handle the big data advance data analytics tools are required with higher capacity of data storage and manipulation (Fan, Lau Zhao 2015). One of the most desirable structures of the organizations to start or oblige enormous information advances are either existing investigation gatherings, or development or engineering bunches inside IT associations. As a rule these focal administrations associations are adjusted in enormous information activities with diagnostically situated capacities or specialty unitspromoting, for instance, or the online organizations for banks or retailers. Some of these specialty units have IT or examination gatherings of their own. The associations whose methodologies appeared to be best and liable to succeed had cosy connections between the business bunches tending to huge information and the IT associations supporting them (Raghupathi Raghupathi 2014). Purpose of the Research: The main purpose of this particular research study is to find out the potential impact of the use of the big data on the business operations of the traditional business organizations. The increased level of popularity and use of the big the analytics within the traditional business organizations are known to everyone. However, the level of the effectiveness of the big data analytics is not known to everybody. The research study will be conducted by investigating the impact of the big data use over the traditional business organizations in the practical environment. That means the practical aspect of the big data use will be analyzed by considering the present at gathered from the business organizations that are using the big data analytics tools within their organizations. In more clear words, the purpose of the research study is find out and analyze the advantages and challenges of the big data use in the traditional business organizations. Rationale for the Project: Big data analytics for the business data analysis is very popular topic in the present world. It has been found that most of the large and medium size business organizations are using the big data analytics tools for handling the huge amount of data they have to handle for the management of the business operations of their organizations. The information technology is the most popular one which is facing frequent updates. The big data analytics is one of the most advance technologies in the area of the information technology use in the business analytics. The main issue of the research study is the effects of using the technology in the traditional business organizations. The research topic is presently very popular, it will be significant one to enhance the knowledge base of the researchers and the future learner in the area of the impact of the information technology over the business operations. Usefulness and Benefits of the Project: The two major stakeholders of the research project are the future academic researchers or learners and the business organizations which are using the big data analytics or are going to use the technology in their business operations. The results and analysis of the research paper will help the future learners to learn regarding the effectiveness of the big data analytics upon the traditional business organizations. In this research project, the previous research papers are used for gathering the basic concepts and other relevant information regarding the research topic in the form of literature review. Just like this, the outcomes of this research study may be used as empirical data in the future research study. The business organizations that are presently using the big data analytics in their business organizations will be able to know the impact of the big data in their business operations. The outcomes of the research study will help them to find out the better way of utilizing the big data analytics in the traditional business operations. The business organizations which will start the use the big data within their organization will understand the effectiveness and proper utilization of the big data from the outcome of this research paper. References: Baesens, B., Bapna, R., Marsden, J.R., Vanthienen, J. Zhao, J.L., 2014. Transformational issues of big data and analytics in networked business.MIS quarterly,38(2), pp.629-631. Chen, H., Chiang, R.H. Storey, V.C., 2012. Business Intelligence and Analytics: From Big Data to Big Impact.MIS quarterly,36(4), pp.1165-1188. Demirkan, H. Delen, D., 2013. Leveraging the capabilities of service-oriented decision support systems: Putting analytics and big data in cloud.Decision Support Systems,55(1), pp.412-421. Fan, S., Lau, R.Y. Zhao, J.L., 2015. Demystifying big data analytics for business intelligence through the lens of marketing mix.Big Data Research,2(1), pp.28-32. Ganomi, A. Haider, M., 2015. Beyond the hype: Big data concepts, methods, and analytics.International Journal of Information Management,35(2), pp.137-144. Liebowitz, J. ed., 2013.Big data and business analytics. CRC Press. Phillips-Wren, G., Iyer, L.S., Kulkarni, U. Ariyachandra, T., 2015. Business analytics in the context of big data.Communications of the Association for Information Systems,37, pp.448-472. Raghupathi, W. Raghupathi, V., 2014. Big data analytics in healthcare: promise and potential.Health Information Science and Systems,2(1), p.1. Sharda, R., Delen, D. Turban, E., 2013.Business Intelligence: A Managerial Perspective on Analytics. 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