This report discusses the opportunities created by the usage of Big Data in the marketing functioning process. It also explores the value creation using Big Data, Porter's value chain analysis, and Porter's five forces analysis.
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Running head: BIG DATA OPPORTUNITIES BIG DATA OPPORTUNITIES Name of the Student Name of the University Author note
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1 BIG DATA OPPORTUNITIES Abstract Marketing has been one of the evolving business sector that has been getting influenced with the implementation of the Big Data. Business value creation is also increased after the implementation of the Big data.This report discusses about the opportunities that are created by the usage of the Big Data in the marketing functioning process. This report will also incur the processing of the value creation of the big data. Implementation of the Porter’s value chain analysis will also be stated in the report. Porter’s five force analysis will also be performed in this report.
2 BIG DATA OPPORTUNITIES Table of Contents Introduction......................................................................................................................................3 Big Data Opportunities....................................................................................................................3 Value creation using Big Data.........................................................................................................5 Porter’s Value Chain Analysis.........................................................................................................7 Porter’s Five Forces Analysis..........................................................................................................9 Conclusion.....................................................................................................................................10 References......................................................................................................................................11
3 BIG DATA OPPORTUNITIES Introduction Big Data implementation help in increasing the efficiency of the management process. Marketing department is one of the most highly benefitted sectors. The main reason of getting benefitted from the platform of Big Data is that the research process that is vital in commencing of proper marketing gets performed in an accurate manner. Traditional marketing has been one of the main prospects that has been benefitted with the implementation of the Big Data. The efficiency of the Big Data has been one of the main reasons that the traditional marketing tools have been gaining drastic innovation and the functional benefits have also increased. This report discusses about the opportunities that are created by the usage of the Bug Data in the marketing functioning process. This report will also incur the processing of the value creation of the big data. Implementation of the Porter’s value chain analysis will also be stated in the report. Porter’s five force analysis will also be performed in this report. Big Data Opportunities The opportunities that are gained due to the usage of Big Data in the field of Marketing includes proper optimizing of the price as per the market sector. It is stated that 75% of the total revenue of the amount collected are due to the quality of the products that are sold. The main instance that also needs proper attention is that the 30% of the total revenue collected is because of the proper pricing strategy. Another aspect that must be taken inti consideration is that even 1% increase in the pricing provides a proper 8.7% profit in the operational sector (Gandomi and Haider 2015). Big data helps in analysing of the study of the market analysis and hence proper understanding of the market factor can be well understood and hence integrating of the same data has been one of the major aspects that has been providing higher benefits of the pricing strategy
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4 BIG DATA OPPORTUNITIES and hence proper understanding of the pricing strategy can be made. With the help of Big Data in the processing of the price optimization for determining the optimal price cuts for performing stockclearance.ImplementationofBigDatainthebudgetallocationofthemarketing department also gets benefitted (Zahariaet al,2016). In today’s society there are several channels for reaching out to the clients and develop a proper marketing budget as per the allocation of channels as a separate entity. Usage of the Big Data enhances the problem that are related to the marketing mix modelling technique. Marketing mix modelling has been one of the major aspects that insights that provides a proper marketing campaigns regarding the Return of Investment as per the profits that has to be performed. Hence big data helps in proper understanding of the potential scale up of the profits. Personalization of the customer experience is properly performing the functionality of Big Data (Erevelles, Fukawa and Swayne 2016). With the help of the business that is proceeding towards the content marketing is performed in a better manner. Bigg Data helps in better analysing of the behaviour of the customer experience and hence better understanding of the questions to the clients regarding the functionality of the behavioural analytics that helps in better purchasing of the information and hence restructuring of the website for performing proper stimulation in the need of igniting the desire of stimulating purchases. Big data also helps in better understanding of the psychology of the consumers (Fan, Lau and Zhao 2015). In depth tracking of the entire system helps in usage of the UTM and heat map helps in better understanding of the customer behaviour which will get enhanced as per the usage of Big Data helps in analysing of the data at scale. Implementation of Big Data incurs the processing of the chatbots in the processing of the data management section (Chintagunta, Hanssens and Hauser, 2016). The main aspect that is taken into consideration is that the proper communication of the clients and the business organization can be performed in a better manner.
5 BIG DATA OPPORTUNITIES With proper analysis method the main advantage that will be gained includes the fact that the accuracy of the entire project gets higher and the marketing services that will be conducted will be having a higher proficiency. With the help of implementation of Big data in the marketing sector proper understanding of the client demands has been better and hence proper management of the project gets performed in a manner that enhances the marketing section of the business organization (Abbasi, Sarker and Chiang 2016). Value creation using Big Data The value creation of using Big Data has been one of the major aspects that the processing of the data management gets functional in the commencing of the marketing strategies. The value creation of Big Data ensures the fact that the management of the entire processing of the marketing of the business management includes the fact that the main prospect that ensures functioning of the defining of the market category, proper defining of the brand will also be performed with the help of the usage of Big Data (Calder, Malthouse and Maslowska 2016). Customer identification also helps in proper value creation of the business organisation that deals with the marketing department. The value generated due to the usage of the Big data in the marketing department can be diversified in 2 sections. The initial section deals with the processing of the value that is provided by Big Data to the business organization that implements the same. Big data helps in proper estimation of the market sizing (Gandomi and Haider 2015). With the help of the proper market sizing process the main advantage that will be received includes the fact that the management process of the entire functional terminology gets better (Donnellyet al,2015). With the hep of the market sizing proper estimation of the needs of the clients of the business organization can be made. Again, with the help of the description process the main aspect that is taken into consideration includes the business organization getting
6 BIG DATA OPPORTUNITIES benefitted regarding proper descripting and monitoring of the market scenario. With the help of implementationoftheBigdatathebusinessorganizationcaneasilyestimatethebasic terminologies regarding the description of the market needs and monitoring the process that will be required for better marketed ng process (Hofacker, Malthouse and Sultan 2016). Proper analysing of the sales data is also performed with the help of the implementation of the Big Data implementation. In this case with the help of the Big data the data that are generated are well analysed with the help of the Big Data brand equity performance has been one of the main aspects that provides high end value creation process. The major aspects that affects the value creation are the 4 Big Data business drivers. The 4 drivers are namely structured, unstructured, low latency data and predictive analytics with the help of Big data (Wedel and Kannan 2016). With the help of the structured data set that is used in the Big Data section the main advantage that is gained regarding the value increasing is that with the help of structured data it gets easy for the marketing team to search for the data sets that are required for the decision-making process. With the help of the usage of the structured data decision making can be made in a better manner (Anfer and Wamba 2019). With the help of the usage of the unstructured data the main advantage that is gained is that high amount of data can be handled and analysed at a same time. This helps in provisioning of data that are generated from the social networking sites as well. This ensures that the functioning process of the marketing department gets easier with precise data availability from the different networking sites. With the help of performing predictive data analysis the main advantage that will be gained includes improving of the business functionality process as per the estimations that are made regarding the functioning of the risk mitigation process (Wolfert, Verdouw and Bogaardt 2017). With an integration in the functional process of the data software, optimizing and deployment of
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7 BIG DATA OPPORTUNITIES decisions can be taken in a roper manner and hence value generation of the marketing process will increase. Big data also provides low latency in the commencement of the marketing process as the data gets distributed across DRAM, SSD or Flash and hence the time consumption gets decreased and the value proposition occurs in the marketing process (Lewis and Westlund 2015). With the help of lower latency in the functional process marketing process can be made more dynamic and hence the management of the system will get better and hence proper marketing process will get performed in a manner that will provide benefits to the clients of the marketing business organization (Liu, Singh and Srinivasan 2016). Porter’s Value Chain Analysis The primary steps of the Porter’s Value Chain model are including the following steps: - Inbound Logistic Usage of Amazon Web Services will be required for implementing of the Big Data in the processing of the data analytics process. This is one of the major aspects that will help in bettering of the prospects that will be undertaken by the business organization as this will acts as a platform for the Big Data to get implemented in the marketing business. Operations This is the stage where the data regarding the marketing process is collected with the help of Big Data. With the help of the data collection process, further steps are taken and hence proper understanding of the management will get performed in a manner that will affect the functionality of the business organization. Outbound Logistics
8 BIG DATA OPPORTUNITIES This section of the value chain process will be concerned with the proper performing of the data analysis system and understanding the sections that can be improved in order to perform better management of the business process and hence better understanding of the business process will get better. With the help of the Big Data the data analysis section will get influenced and hence proper decision making can be done and hence proper manner Marketing and Sales As the chosen sector is marketing business, this stage is one of the most important aspect that provides proper marketing functional aspect with the help of the implementation of Big Data. The value of the business rises and hence proper understanding of the entire scenario gets performed in a manner that provides better result to the marketing company. Service Understanding proper demands of the clients and performing marketing strategies as per the demands of the targeted and hence proper service might get provided as per the requirement and data set gathered by the Big Data platform. The Support Activities Procurement,HumanResourceManagement,Technologicaldevelopmentand Infrastructure of the business organization is very important. With the help of the above stated techniques proper value evaluation can be made. Procurement Buying of the platform of Big Data will be enlisted in this section as Big Data will increase the efficiency in the functional process of the marketing section.
9 BIG DATA OPPORTUNITIES Human Resource Management Providing proper value to the employees of the business organization will be the main task of the business management process. Technical Development Leveraging the technology of the Big Data in the field of marketing has been a technical development. Infrastructure Maintaining a hierarchy will be beneficial in the functional process of the marketing business. Porter’s Five Forces Analysis Threat of new entrants Threat of new entrants have not been very high. The main aspect that will be taken into consideration includes the fact that the management of the entire scenario will get performed as per the Big Data implementation is made and it is one of the latest technologies in the field of marketing. Threat of Substitute products As the product that is taken into consideration in this case is proper arrangement of the marketing services hence chances of substitute services are high but die to the implementation of Big Data chances of substitute of the service gets low. Threat of new entrants
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10 BIG DATA OPPORTUNITIES Threat of new entrants at this moment is low as the technology is itself in the growing stage. Hence there are least chances of new entrants of other technology over the Big Data. Bargaining Power of buyers Bargaining power of buyers are comparatively low as the quality of service a marketing business organization will provide after the implementation of the Big Data will be high as the analysis accuracy will be high and hence proper estimations of successful strategies can be developed for marketing. Conclusion From the above discussion it can be stated that the functional process of Marketing organization will get benefitted due to the implementation of the Big data technology in the business management process. Value rising can be performed in a better manner due to the 4 Big data business drivers, namely structured data, unstructured data, latency and predictive analysis. Big data is one of the ever-evolving technology that has been gaining importance in the processing of the business processing. Utilisation of Big Data in the marketing department has been gaining its importance in a drastic rate. Presence of Bigdata has been existing ion every section of business process wherever the data that are present are structured in nature. Customer Relation Management has been one of the main aspects that ensures betterment in the marketing section with the help of the Big Data implementation. Proper usage of Big Data has been one of the major aspects that helps in increasing the functioning of the data management system. This insists the fact that a proper management technology will help in bettering the functional process of the Big Data implementation. With the help of the implementation of the Big data technology in the marketing section the main advantage that s received includes the fact that the source of
11 BIG DATA OPPORTUNITIES data collection gets vast. With a proper data collection method, the main aspect that must be taken into consideration is that the data that will be procured in the functional system will help in better performing of the analysis method.
12 BIG DATA OPPORTUNITIES References Abbasi, A., Sarker, S. and Chiang, R.H., 2016. Big data research in information systems: Toward an inclusive research agenda.Journal of the Association for Information Systems,17(2), p.I. Anfer,O.andWamba,S.F.,2019,April.BigDataAnalyticsandStrategicMarketing Capabilities: Impact on Firm Performance. InWorld Conference on Information Systems and Technologies(pp. 633-640). Springer, Cham. Calder, B.J., Malthouse, E.C. and Maslowska, E., 2016. Brand marketing, big data and social innovationasfutureresearchdirectionsforengagement.JournalofMarketing Management,32(5-6), pp.579-585. Chintagunta, P., Hanssens, D.M. and Hauser, J.R., 2016. Marketing Science and Big Data. Donnelly, C., Simmons, G., Armstrong, G. and Fearne, A., 2015. Digital loyalty card ‘big data’and small business marketing: Formal versus informal or complementary?.International Small Business Journal,33(4), pp.422-442. Erevelles,S.,Fukawa,N.andSwayne,L.,2016.BigDataconsumeranalyticsandthe transformation of marketing.Journal of Business Research,69(2), pp.897-904. Fan, S., Lau, R.Y. and 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. Gandomi, A. and Haider, M., 2015. Beyond the hype: Big data concepts, methods, and analytics.International journal of information management,35(2), pp.137-144. Gandomi, A. and Haider, M., 2015. Beyond the hype: Big data concepts, methods, and analytics.International journal of information management,35(2), pp.137-144.
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13 BIG DATA OPPORTUNITIES Hofacker, C.F., Malthouse, E.C. and Sultan, F., 2016. Big data and consumer behavior: Imminent opportunities.Journal of Consumer Marketing,33(2), pp.89-97. Lewis,S.C.andWestlund,O.,2015.Bigdataandjournalism:Epistemology,expertise, economics, and ethics.Digital journalism,3(3), pp.447-466. Liu, X., Singh, P.V. and Srinivasan, K., 2016. A structured analysis of unstructured big data by leveraging cloud computing.Marketing Science,35(3), pp.363-388. Wedel, M. and Kannan, P.K., 2016. Marketing analytics for data-rich environments.Journal of Marketing,80(6), pp.97-121. Wolfert, S., Ge, L., Verdouw, C. and Bogaardt, M.J., 2017. Big data in smart farming–a review.Agricultural Systems,153, pp.69-80. Zaharia, M., Xin, R.S., Wendell, P., Das, T., Armbrust, M., Dave, A., Meng, X., Rosen, J., Venkataraman, S., Franklin, M.J. and Ghodsi, A., 2016. Apache spark: a unified engine for big data processing.Communications of the ACM,59(11), pp.56-65.