Write a report on “Burberry Group Plc”.
Burberry Group Plc has been taken as the focus company for the report. It is a British organization. BGP or Burberry Group Plc is a Luxury clothing manufacturer. They are operating in the market since 2008. Their motto was to engage the young people in their dreams with the power of creativity behind them. They ventured on the youth power and creativity (Koller 2014).
Figure 1: Burberry London
Burberry Group has three brands under its wing. These are,
Burberry Group Plc manufactures both men and women clothing. They have wonderful collection of kids’ garments too. They have been producing coats and civil jackets for defense individuals and armies. Burberry presents ‘Trench Coat’ to the customers. The company is also specified for providing garments, costumes, and uniforms for aviation units. They manufacture sports garments and jerseys as well (Kontu and Vecchi 2014).
The market of Burberry Group is an ever-expanding area. They cover more than 50 countries with their products. They are operating from more than five hundred stores; the majority of the stores are located in various parts of Britain. They provide designer clothes as well as casual clothes to their clients.
Burberry Group Plc has many competitors. England is a known place for clothing industries; they are having some of the renowned garment brands in the world. Rubicon Retail, Adams Children Ware, Green Woods and Rupert & Berkley are the competitors of Burberry.
Figure 2: Products of Burberry Group Plc
Business intelligence
Business intelligence is a process where the system is depended on data analysis for boosting the form of the company thorough guiding the sales persons and the buyers. They take essential actions for the company. It is having the rediscovering the ideas, decision taking and engaging new rules. It helps to gain knowledge for the customer service.
It includes canalization of samples from different places and it helps to evaluate the information from the data. This software enables the analysis process much better and it allows the users to correlate the data collected from different fields. Data mining process helps to make summary of the analysis from different angles. In the area of customer service, data mining is a necessary tool for analyzing the information regarding the consumers.
Figure 3: Data Warehouse
It is a collection of organized data. It is used for the action of accessions, sudation and restoring samples for next use. It has numerous variations; they are bibliography, numerical, all-text and pictures. Databases are organized in a manner that can be helpful for Burberry for forming their client service and marketing.
Internet has been a revolution in recent years. It has spread throughout the globe and connecting millions of computer users. Internet is a window that provides linking, sharing and connecting information among the users.
RFID is the short form of Radio Frequency Identification. The device carries the information in the form of radio frequency. It comes in small size and an antenna is used for giving a capacity of around 2000 bytes of data. Burberry uses the device for reading the bar code of the purchasing items by the clients (Larose 2014).
Value Added Network is addressed as VAN. It enables and offers the information sharing option between the partners. It is helpful for keeping the privacy between two or more organizations (Sikka 2013).
EDI or Electronic Data Exchange implies the computer-to-computer data exchange in the organization for supporting the procedure of business.
Figure 4: Internet system
Figure 5: EDI
References
Chong, A.Y.L. and Chan, F.T., 2012. Structural equation modeling for multi-stage analysis on radio frequency identification (RFID) diffusion in the health care industry. Expert Systems with Applications, 39(10), pp.8645-8654.
Evanger, J.E. and Lie, J., 2014. Development and Deployment of Advanced and Intelligent Manufacturing and Logistics Solutions through the Use of RFID, EDI and Bar Codes. Advanced Materials Research, (1039).
Gupta, G.K., 2014. Introduction to data mining with case studies. PHI Learning Pvt. Ltd..
Koller, H., 2014. Business Agility and Luxury Companies: A disliked, but needed combination.
Kontu, H. and Vecchi, A., 2014. Why all that noise–assessing the strategic value of social media for fashion brands. Journal of Global Fashion Marketing, 5(3), pp.235-250.
Larose, D.T., 2014. Discovering knowledge in data: an introduction to data mining. John Wiley & Sons.
Padhy, N., Mishra, D. and Panigrahi, R., 2012. The survey of data mining applications and feature scope. arXiv preprint arXiv:1211.5723.
Sikka, P., 2013. Why combatting tax avoidance means curbing corporate power: Prem Sikka shows how a tax avoidance industry has facilitated the corporate capture of UK policymaking. Criminal Justice Matters, 94(1), pp.16-17.
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