This document provides an in-depth analysis of information and data analysis. It covers topics such as the mobile phone market in the UK, forecasting smartphone use, smartphone sales for older customers, expanding business to Kingston, and more. The document includes tables, figures, and customer satisfaction analysis.
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Running head:ANALYSING INFORMATION AND DATA ANALYSIS Analysing Information and Data Analysis Name of the Student: Name of the University: Author Note:
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1ANALYSING INFORMATION AND DATA ANALYSIS Table of Contents Introduction................................................................................................................................3 1.An overview of the mobile phone market in the UK.........................................................3 2.Forecasting the use of smartphones by the UK adults for 2018 and 2019.........................4 3.Smartphone sales, market for older customers..................................................................5 4.Expanding business to Kingston through pros and cons method.......................................6 5.Cost for the new building...................................................................................................7 6.Net takings of the two shops’.............................................................................................8 8.Quality Procedures.............................................................................................................9 10.Conclusions & Important Findings...............................................................................10 Reference..................................................................................................................................11 Appendices...............................................................................................................................13
2ANALYSING INFORMATION AND DATA ANALYSIS Introduction Technology has been upgraded tremendously in the last few decades. Technology has improved the day to day life of humans being an endless source of communication and entertainment. The technology can be the mobile phone, laptop and tablet. Now a days mobile phones has become an integral part of humans. As, the device is upgraded and majorly used for communication as well as it helps in navigation. This can schedule the meetings, it brings all the news around the world in the hands of user and can help to collect public information. 1.An overview of the mobile phone market in the UK Most commonly used device in UK is mobile phone. They use the device in the activities that are related to their working environment. People used smartphones in business activities like managing time, marketing standard calls and emails. This is observed that the UK market is highly relatable to the market of mobile phones as almost everyone uses the phone in an activity either related to the business or not related to the business. According to the Global UK survey 2017, it has been observed that the activities mostly done with the help of mobile phone are managing my time/workload, viewing documents, calls and emails. People mostly use the phone to make emails as a business activity and the data shows that mobile is used 41% just for mails in 2016 and it was 37% in 2017. The second highest use of mobile phone in business activity is calls. This is found that the phone is used 33% for calls in 2016 and 32%% in 2017. Thus the third highest use of mobile phone is viewing documents associated with the business activity. The mobile is used 17% for viewing documents in 2016. However, in 2017 the mobile was not in use to view documents that means people started using alternatives for viewing document. Finally, managing time related to business activity is done by the mobile phones. In 2016, the phone
3ANALYSING INFORMATION AND DATA ANALYSIS was used 8% and in 2017 it became 6%. This shows the different usages of a mobile phone and as it is used by most of the people the market is high. Figure 1: Usage of smartphones for business related works by the individuals in UK Source-(Deloitte.co.uk 2019) 2.Forecasting the use of smartphones by the UK adults for 2018 and 2019 Table 1: Forecasting for the year 2018 and 2019 ParticularMobile phoneLaptopTablet 201252.00%73.00%16.00% 201362.00%76.00%36.00% 201470.00%75.00%50.00% 201576.00%79.00%60.00% 201681.00%76.00%63.00% 201785.00%78.00%68.00% 201893.80%79.07%83.93% 2019100.31%79.90%93.96% Forecast
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4ANALYSING INFORMATION AND DATA ANALYSIS Figure 2: Forecast for each device for the year 2018 and 2019 The table 1 presents the trend for the company market which shows the forecasted values for the year 2018 and 2019. The trend for the mobile phone is going upward. In, 2017 the usage of the mobile phone was 85% which is forecasted to be 93.8% in 2018 and 100% in 2019. That means almost each and every one will use the mobile phone for business activity (Brannen, Piekkari and Tietze 2017). Similarly, in the year 2017 the laptop was used by 78% of the people for the business activity and it is forecasted that the laptop will be used by 79% and 79.97% for the business activities in the year 2018 and 2019 respectively. The trend for use of tablet is growing faster than any devices. 68% of the people used the tablet and in 2018 and 2019, 83.93% of the people and 93.96% of the people respectively will use the tablet for business related activity. 3.Smartphone sales, market for older customers Smartphones have importance among the older section of customers and compared to other categories of customers it has more importance to the older customers. The reason
5ANALYSING INFORMATION AND DATA ANALYSIS behind the incident is the feature of the mobile phones to the older customers (Knight and Liesch 2016). Some of the features are discussed below: Version of the phone:According to the survey of May and June presents that the older customers prefers the premium version of the phone compared to other versions. This is because of the extra features available in the premium version and the faster technology which can help the customers in their activities (BBC News, 2019). Payment Mode:Smartphones are easy to use for making digital payments which is the fastest mode of payment. Thus mobile phones provides the flexibility over cash payments and help to make easy payments. Travel Guide:Mobile phone is easy to use to book a cab while it is very difficult to find a cab and bargain for the destination for the older group of people. Screen Size:Latest mobile phones have large screen and it is very helpful to the older people to read. The large screen displays large fonts and clear pictures. This is crucial feature for the people who have problems in eyes. Flexible to use:The upgraded mobile phones are now very easy to use. The developers has made the phone simple to use for everyone. This makes easy to use the applications installed in the phone. Secured System:The smart phones are much secured with face lock, pattern lock and touch lock. This all security systems are to protect the personal data of the customer. 4.Expanding business to Kingston through pros and cons method PROSRating out of 10ConsRating out of 10 Attracts new customers and this havethepotentialtogenerate more profit. 8 Capital requirement is huge to expand the business for which the result will be the transformationfroman 9
6ANALYSING INFORMATION AND DATA ANALYSIS economicslumtothe company. The expansion of the company can help to diversify the cost of business to the broader segments andthiswillresultinthe reduction of the total cost of the business. 9 Theexpansionofthe businesscansignificantly distract the expertise of the companyandthiscould cause improper utilisation of theresources.Thiswill result in an increase of cost to the company. 8 The brand value will rise due to the expansion of the business. Thiswillhappenbecausethe business will be spread in new markets and it will make new goodwill which will add value into the company (Staykova and Damsgaard 2015). 8 Entering into the new market willraisethecompetition and there are uncertainties to get a position in the market. This may result in a failure andcanlosethecurrent position too. 6 This will lead the company to introducenewproductsand changes in existing products to attract the new customers. This will have a positive impact on the business. 7 If,thechangesinthe productsandnewly introduced products does not satisfythecustomersthen thebandvaluewillfall. Thus it can have the negative impact on the good will too. 7 Average Pros =(8+9+8+7)/48Average Cons = (9+8+6+7)/47.5 5.Cost for the new building The cost to the new building will be£3146 per month for the coming 15 years at 7% mortgage rate per annum. This will be raised by any UK mortgage company according to the requirement of the amount and repayment of the company (Coltmanet al.2015). In the appendix A and B, the formula used to calculate and the result of the calculation is presented respectively. The logo of commercial mortgage lenders that are famous in the UK are presented below:
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7ANALYSING INFORMATION AND DATA ANALYSIS 6.Net takings of the two shops’ A sample has been taken of 40 net daily takings of the companies two shops. The given information about the first shop is that the shop has a mean£100 and the SD of£20. This implies that the average earning is£100 and thus the total earning is£4000. Similarly, the average earning of the second shop is£90 and thus the total earning is£3600. This earning has come from selling 40 net daily takings. Hence, by the comparison of the mean this can be assured that the average earning is£10 higher for the first shop than the second shop. However, the rise in profit van can be gained from first shop compared to the second shop as per unit profit is higher in case of first shop. The variability of the earning is explained by the standard deviation. The earning of the shops differs due to the variation in the customers. The given standard deviation is£20for the first shop and the standard deviation is£40 for the second shop. This implies that the existing variability in the first shop is less than the second shop. The smaller SD presents smaller variance and thus the second shop has a large variation in the earrings. From this it can be predicted that customers goes to the second shop more frequently which creates more variability for the shop. 7.Customer Satisfaction Company decided to check the customer satisfaction and to do so questionnaires are prepared and printed in hard copy. To get the responses from the customers it was made
8ANALYSING INFORMATION AND DATA ANALYSIS available in both the shops. After collecting the data a simple analysis is done with the mean. The result is presented below: Q1Q2Q3aQ3bQ3cQ3dQ4Q5Q6 Average Points2.952.891.982.503.252.512.512.523.71 Table 2: Average rating of the customer The above table presents the average of rating of customers and each rating is discussed here. The average rating in Q1is 2.95. This implies that the same product is bought by an average of 2.95 customers. Mean of Q2indicates an average amount of customers who purchase the products of the company from 1 to 3 years. That is why the company produces durable goods. The Q3implies that the company has variation in services and products on the basis of different parameters. There is good rating on this the average response is around 3. The average rating is 2.51 in Q4out of 5. This indicates the satisfaction level as a whole, the customer’s satisfaction after using the company services and product. In Q5, this wants to know thww future business perspective. The average rating in Q5is 2.5 which indicates an average level of willingness of the customers to be connected with the business in future. In the final question Q6, Company wants to know about the customers that they will recommend their products to others or not. In this section, the average rating is recorded as 3.71. This indicates that customers of the company can recommend new customers that means they can give customers to the company (Hill and Alexander 2017). 8.Quality Procedures Poisson distribution has some specific features which is usually used in case of discrete probability distribution. In this case the distribution of events occurring in a given time period is discrete. Now, a company always follows a proper quality procedure for its product. Now
9ANALYSING INFORMATION AND DATA ANALYSIS to check the quality the company should tale the passion distribution to collect the samples for analysis of the quality (Mahmoudi and Sepahdar 2013). It is used by the company and the product has been maintained in the same time interval. This makes the process easy to be aware of the quality services and products. Now the company is aware about the quality check. 10.Conclusions & Important Findings The UK market is positively supportive for the smartphone due to consumer needs and demand for the mobile by adults and older that means demand is from each age category. The report has been prepared on the company named Eco-Fone. Eco-Fone is the smartphone company among others in UK market and it has two shops on the basis of which the analysis is prepeared. The report has also presented that how the company is going for expansion of the business in Kingsotne by using the pros and cons method. The finding of the above analysis is that the customer satisfaction is done which was done on the basis of questioners with different parameters. With the help of the statistic mean and standard deviation off both the shops sales it is found thatthe rise in profit van can be gained from first shop compared to the second shop as per unit profit is higher in case of first shop.
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11ANALYSING INFORMATION AND DATA ANALYSIS Reference BBC News (2019).Smartphone sales boom with over-55s. [online] BBC News. Available at: https://www.bbc.co.uk/news/technology-41319684 [Accessed 23 Mar. 2019] Bowtell, D.D., Böhm, S., Ahmed, A.A., Aspuria, P.J., Bast Jr, R.C., Beral, V., Berek, J.S., Birrer, M.J., Blagden, S., Bookman, M.A. and Brenton, J.D., 2015. Rethinking ovarian cancer II: reducing mortality from high-grade serous ovarian cancer.Nature reviews Cancer, 15(11), p.668. Brannen, M.Y., Piekkari, R. and Tietze, S., 2017. The multifaceted role of language in international business: Unpacking the forms, functions and features of a critical challenge to MNC theory and performance. InLanguage in international business(pp. 139-162). Palgrave Macmillan, Cham. Coltman, T., Tallon, P., Sharma, R. and Queiroz, M., 2015. Strategic IT alignment: twenty- five years on. Deloitte.co.uk,(2019).[ebook]Availableat: https://www.deloitte.co.uk/mobileuk/assets/img/download/global-mobile-consumer-survey- 2017_uk-cut.pdf) [Accessed 23 Mar. 2019]. Gannamaneni, A., Ondrus, J. and Lyytinen, K., 2015, January. A post-failure analysis of mobilepayment platforms.In2015 48th Hawaii InternationalConference on System Sciences(pp. 1159-1168). IEEE. Gannamaneni, A., Ondrus, J. and Lyytinen, K., 2015, January. A post-failure analysis of mobilepayment platforms.In2015 48th Hawaii InternationalConference on System Sciences(pp. 1159-1168). IEEE.
12ANALYSING INFORMATION AND DATA ANALYSIS Gerow, J.E., Thatcher,J.B. andGrover,V., 2015. Six typesof IT-businessstrategic alignment: an investigation of the constructs and their measurement.European Journal of Information Systems,24(5), pp.465-491. Hill,N.andAlexander,J.,2017.Thehandbookofcustomersatisfactionandloyalty measurement. Routledge. Knight, G.A. and Liesch, P.W., 2016. Internationalization: From incremental to born global. Journal of World Business,51(1), pp.93-102. Mahmoudi, E. and Sepahdar, A., 2013. Exponentiated Weibull–Poisson distribution: Model, properties and applications.Mathematics and computers in simulation,92, pp.76-97. Patch, A.M., Christie, E.L., Etemadmoghadam, D., Garsed, D.W., George, J., Fereday, S., Nones, K., Cowin, P., Alsop, K., Bailey, P.J. and Kassahn, K.S., 2015. Whole–genome characterization of chemoresistant ovarian cancer.Nature,521(7553), p.489.
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13ANALYSING INFORMATION AND DATA ANALYSIS Appendices Appendix A: Formula for the calculation of monthly cost for the new building DetailsAmountRateMonthsYears Annual InterestA0.07 Monthly InterestB=(A/12)=D2/12 No of YearsC15 No of MonthsD(C*12)=F4*12 Present value350000 Monthly cost=PMT(D3,E5,-C6,0) Appendix B: Result of the calculation of monthly cost for the new building DetailsAmountRateMonthsYears Annual InterestA7% Monthly InterestB=(A/12)0.58% No of YearsC15 No of MonthsD(C*12)180 Present value3,50,000.00£ Monthly cost3,145.90£