COIT20253 Business Intelligence Using Big Data

Walmart the largest hyper market chain in the world.The organisation produces huge amount of data regularly (John 2014).The solution is the Big data.The big data can be explained as extremely large sets of data.Walmart can use big data for the process of empowering the current business and develop new scopes.These are especially related to human interactions and behaviours Walmart can use big data for the purpose of better controlling and achieving competiveness though the application of the technology of big data.

Business Initiatives: that must be taken:

1.Advanced customer services Analyzing the data responsibly for the benefit their customers and thus raise growth.Using Big data  for the purpose of taking better decision  in making  techniques and models.The storage of the information helps in the process of the better decision.How the use of Big data is helping Walmart in Incrsing productivity Strategic Implementation of Big data.

Business Strategy

The Business strategy of Walmart is to ensure mass number of the people visit the customer and they get the goods that are required by them Decision Support Systems Technique used for the process of increasing the consumers.Dynamic-Temporal-Spatial Applications.

Big data for decision making

Content acquisition : That is the collection of the data from different sources can help producing rich content (George, Haas and Pentland 2014).public and private organisational data sources:  The data can be from any format of the organisations. These data can be from Intelligence: The basics of the data are valued form the 4V’s

Outcomes and CSF

This can help the Walmart in gaining more and more customers everyday.´The Risk of non selling products got reduced.Helped in Developing better understanding on consumer behavior and spending  using machine learning models. Improved customer relationship Model Walmart can retain the Number 1 spot in the world

Refurbished marketing strategies to retain customers (Wamba et al. 2014).Conventional ties between consumers and Seller Use of the modern technology like the mobile devices can help in customer satisfaction Provide online business analysis to Seller to monitor their performance.Stores Data: The number of the stores the Walmart is having and the number of the products present in there.

Customer Data: The number of the customers that visits the store, the customer behaviour, Products that the customers like.Marketing Data:  Advertisements and other techniques used for the marketing propose Employee Data:  The number of the employees that are working for the Walmart in order to increase the sales.As the organizations collect huge amount of data, all the data are not democratised.Companies need to follow a business-aligned culture that supports data storage.Organizations have to move on to a data centric culture that challenges assumptions 

 There is a lot to be done in order to disparate big data.Mapping data is one of the most important thing to be done.Extracting and connecting data from storage.Using the technologies of Hadoop.Map reduction Job 

The technological needs that will be required for the Business.Processing. Servers intended for Big Data analyticsware.

Conclusion

Big data helps in the process of content and data analysing.Helps in storing huge sum of data in a proper structured manner.Provides security to the data that the organisation is having.Helps in increasing sales and attracting customers.

References

Grover, V., Chiang, R.H., Liang, T.P. and Zhang, D., 2018. Creating Strategic Business Value from Big Data Analytics: A Research Framework. Journal of Management Information Systems, 35(2), pp.388-423.

Wu, X., Zhu, X., Wu, G.Q. and Ding, W., 2014. Data mining with big data. IEEE transactions on knowledge and data engineering, 26(1), pp.97-107..bose

John Walker, S., 2014. Big data: A revolution that will transform how we live, work, and think.

George, G., Haas, M.R. and Pentland, A., 2014. Big data and management.

Wamba, S.F., Akter, S., Edwards, A., Chopin, G. and Gnanzou, D., 2015. How ‘big data’can make big impact: Findings from a systematic review and a longitudinal case study. International Journal of Production Economics, 165, pp.234-246.