TATA Consultancy Services Summer Internship Report (Summary) – UM18247 INTRODUCTION Market Research Department of any organization plays the role of gathering insights about different companies, who may be rivals/competitors as well as potential clients/customers/partners, which is then used by the management of that organization in devising various strategies for the organization’s growth and profit. Gathering insights of different companies is not an easy task, especially when the required insight are not just simple data that are available easily. These data which are collected are often required to be processed together into information to formulate a meaningful insight which then the higher management then analyses to take strategic decisions. Also, when it comes to companies as big as TCS (TATA Consultancy Services), which is widely spread across the world providing its services, then potential clients/customers/partners as well as rival/competitors are equally large in number. Hence gathering such a huge amount of data and processing them into meaningful insight is quite a heavy task, which is usually done manually by dedicated analysts. This in turn takes a lot of time and is thus in need of some amount of automation which can help in reducing the processing time and also process the information in a proper structured manner. Thus, arises a framework, which can not only help in automating the data processing to some extent, but also process the information in a structured manner. OBJECTIVE The main objective of the research is Identifying potential sales pursuits through an automated framework and tool . This framework is ideally supposed to be used by the sales team who can feed in a list of companies as per their choice of geography, and the framework would automatically fetch the required data from the internet, that needs to be analyzed, and give a list of companies that fulfill the criteria set within the parameter to meet TCS’s expectations as potential sales pursuits. This list of companies can be further analyzed by dedicated analysts for better qualitative analysis of the company.
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- Winter '17
- Prof Natwar Lal
- Qualitative Research, market research department