Developing Global Management Competencies Report
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Added on 2019-11-08
Developing Global Management Competencies Report
Added on 2019-11-08
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Running head: GLOBAL MANAGEMENT COMPETENCIESDeveloping Global Management Competencies 2 (Dgmc2) - Bi Strand: John Lewis PartnershipPLCName of the student:Name of the university:
1GLOBAL MANAGEMENT COMPETENCIES1. IntroductionThis report depicts the importance of implementation of Business Intelligence solutionand Data Analytics solution in a business organization. Both the functional and operationalexcellence of a business organization gets enhanced after the adoption this kind of businesssolution. For this particular report the selected organization is John Lewis Partnership. Fromwide research of the business industry it has been defined that, in order to engage consumersto the company it is very much necessary to apply proper tools and technologies (Williams,Ferdinand & Croft, 2014). After representing the background of the company, a critical appraisalof project management and planning needed to be implemented by the organization to gaincompetitive advantages from the competitive market. Different managerial tools and technologies are there those are generally used by thebusiness industries to gain competitive advantages and measurable revenue as well. However,the data management capability of John Lewis Partnership is not enough efficient. Thus, inorder to manage data properly without any error it is necessary to implement big datatechnology and data analytics as a managerial tool. The advantages and disadvantages of bigdata tool and the way through which the operational and functional excellence of big data anddata analytics can improve the existing situation of the company is also elaborated n this report.Not only this but also, the potential business values and even the organizational key challengescould overcome with the help of big data analytics tool and data analytics tool. 1.1 Background of the business organization For understanding the role of big data and data analytics tool, the selected businessorganization is named as John Lewis Partnership. From the background research of thecompany, the details are identified. It implies that, John Lewis Partnership PLC a Britishcompany based Retail Company which operates John Lewis department stores, in waitrosesupermarket (Assunçao et al., 2015). This retail company is localized in Oxford Street, Londonin the year of 1929. Behalf of its owners and partners as well the company generally operatesby Trust. The annual and financial turnover of the company is quite high and keeps onincreasing every year. The products served by the company include clothing, watches,jewelleries, furniture, bedding, food. Computing and photography services as well. The revenueof the company is calculated to be 11 Billion in the year of 2015. In the year of 2012 and 2013the net income of the retail company is measured as 409.6 Million. The total numbers ofemployees working for the company is 88,900. However, due to good service and productivity
2GLOBAL MANAGEMENT COMPETENCIESthe number of consumers of the company is keep on increasing and in order to manage thedetails information about the employees and consumers the traditional data managementtechniques stood less efficient (Fan & Bifet, 2013). In order to increase the efficiency formanaging the business operational data and other confidential information, implementation ofbig data tools and data analytics tool is very much important. With the help of these tools themanagerial level issues will get minimized. 2. Critical appraisal of project management and planning requiredimplementing and deploying by John Lewis Partnership 2.1 Implementation of big data and data analytics solution Big data analytics tool can help the business organizations to increase the existingsituation of the business organization. Most of the companies are currently adopting big datatrending practice tool for enhancing their operation and functional excellence. After gettingproper information about the landscape then only an organization should jump their operationfrom the existing one to the big data analytics (Diamantoulakis, Kapinas & Karagiannidis, 2015).This analytical process helps to gain competitive advantages and new revenue with improvedoperational efficiency over the business rivals of John Lewis Partnership PLC. Different types ofanalytical tools are there such as descriptive analytics, perspective analytics etc. With the helpof descriptive analytics the performance of the organizations including the performance servedby every individual employees as well historical data and the root causes for differentoperational and functional issues can also be identified with the help if the big data tool. Whereas, with the help of perspectives analytics anticipate entrepreneurial opportunitiescan be developed and eve the business owners of John Lewis Partnership PLC will be able totake effective decision to gain measurable success and competitive advantages from themarketplace (George, Haas & Pentland, 2014). Improper data management might affect theprofit of areas and like targeting market campaigns by reducing the consumer churn andavoidance of equipment failure. The demands for advanced analytics application havecompletely limited the bi data applications. However massive volume of data could be managedwell with the help of big data toll within a big data platform.
3GLOBAL MANAGEMENT COMPETENCIESFigure 1: market revenue of John Lewis Partnership(Source: Johnlewispartnership, 2017)After analyzing the current environment of John Lewis Partnership PLC it is found that inorder to scale up the business efficiency the data should be managed well both in terms ofaccess and entry (Chen & Zhang, 2014). Again, security is another important aspect that isserved by big data analytics tool. In order to store information regarding the employees andconsumers big data provides framework, for utilizing the mining technique for analyzing thedata, patter discovery and analytical model proposal for recognizing the performance of JohnLewis Partnership PLC in terms of operational application and business process (Williams,.Ferdinand & Croft, 2014). Currently in every industry for decision making and managing largeset of data, big data analytical tools are widely used. Within the geographic region, massiveamount of shipping delivery data, traffic data streaming and vendor performance data could beanalyzed well with the help of big data tool (Wamba et al., 2015). Even wider variety of datatypes such as structured data, semi structured data, and unstructured data can be ingested withbig data tool.
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