Customer Experience of using Wireless Internet: A Case Study of Evo-Ptcl (Telecommunication Giant of Pakistan)

This studied surveyed Customer Experience of using wireless internet was case of EVO-PTCL, The research was conducted on the base of Karachi only, despite the fact that EVO can be used in all over Pakistan in more than 100 cities. The sample size was collected from Karachi only with total 300 respondents and questionnaire was filled by PTCL customers at OSS. The researcher analyzed the customer experience based on 6 variables which include Product, Process, People, Price, Place & Communication, customers of wireless internet users was conducted on above variables. The researcher analyzed each variable one by one and applied t-test on them, it was found that the products of PTCL in term of wireless internet EVO, the customers are of view that they are having good experience of using product and they are happy with it. It was further found that customer experience of going through different process, like complaint, buying, disconnectivity and it was shared by customers and they have shown negative experience in term of complaint process, and rating them either worst or bad. Customer experience with the people has been expressed highly negative by the respondents and they believe that staff behavior is very bad or worst with the customers but they have mentioned that staff knowledge of EVO is good. Wireless internet users of PTCL has mentioned that the prices of EVO devices which is one time cost is very expensive and they rated very bad and worst, whereas they said that price of services charges are acceptable and rated good by them.Their experience with the place means OSS and Franchisers & Distributors was much satisfactory and they believe that OSS experience of them was good and best as compare to Franchisers & Distributors. As far as communication is concern, customers are more interested to be kept well aware with the new packages and changes are made with EVO, they sometime experience print ad but they think, there is no existence of PTCL in electronic media. In short, the research analyzed and concluded that the customer experience of using wireless was found much better and as a whole they rated it very good and they are happy with the services, therefore, this report will be helping management to go through it and work on the weak areas so that the company can provide more superior services. Keywords: Customer Experience, PTCL, EV

A Survey Report on Cellular Technology

Cellular technology is the foundation of mobile wireless communications and supports users in locations that are not easily served by wired networks. Cellular technology is the underlying technology for mobile telephones, personal communications systems, wireless Internet and wireless Web applications, and much more. This article looks at how cellular technology has evolved through four generations and is poised for a fifth generation

Genetic Algorithm to Generate the Automatic Time-Table – An Over View

In this paper we glance through the various approaches used by the researchers to develop an automatic timetable using Genetic algorithms. The optimized genetic algorithm can be used with the heuristic approach to design and develop the timetable of an institute. At stake during the process of development, the stakeholders are the professors and the students. The efficient utilization of the infrastructure is the main aim of the authors. The crossover, mutation and the fitness function is to be calculated for the implementation. In genetic algorithm every individual are characterized by a fitness function. After analysis if there is higher fitness then it means better solution and then after based on their fitness, parents are selected to reproduce offspring for a new generation where fitter individuals have more chance to reproduce. The objective of the work is to create a model used to generate the acceptable schedule using probabilistic operators

Apriori- A Big Data Analysis – A Review

Apriori is designed to operate on databases containing transactions (for example, collections of items bought by customers, or details of a website frequentation). Other algorithms are designed for finding association rules in data having no transactions , or having no timestamps (DNA sequencing). Each transaction is seen as a set of items (an item set). Given a threshold , the Apriori algorithm identifies the item sets which are subsets of at least transactions in the database. Apriori uses a "bottom up" approach, where frequent subsets are extended one item at a time (a step known as candidate generation), and groups of candidates are tested against the data. The algorithm terminates when no further successful extensions are found

Evaluating Factors of CRM on Customer Satisfaction – Managerial Perspective of PTCL (Telecommunication Giant of Pakistan)

The aim of the study is to evaluate the factors of CustomerRelationship Management on Customer Satisfaction from the managerialperspective of PTCL employees (CRM users) to check the CRM is increasingcustomer satisfaction through this study. The research is quantitative bases inwhich the research is conducted through primary data received fromquestionnaire from the respondents of PTCL managerial level. Total populationis included in the research since it was small population. Total 78 populationsis forwarded online survey out of which 60 respondents submitted thequestionnaire and research is the results of 60 respondents receive. Theresearch is limited to Karachi bases due to having term paper report and it isalso limited to respondent CRM users only and managerial level is only BPS – 17and above is called managerial level as per definition of PTCL employees. Theresearch finds that the customer satisfaction is increasing due to CRM factorsof focusing key customers, organize around CRM, managing knowledge andincorporating CRM technology and results are contributing positively to thisstudy where majority of CRM users and managerial level have either remarkedwith strongly agree and agree which is showing mean greater than 3.0. The studyis followed by the research which is already conducted earlier and pastresearch shows that it can further be extended for evaluating sales growth andcustomer retention.Keywords: Customer Relationship Management, CustomerSatisfactio