Nokia Networks-Wipro R&D IT Challenge Entry Form

Winning in a Digital World – the Nokia Networks and Wipro R&D-IT Challenge

IDEA TITLE Submitted by :

CollegeName Email Contact Num College LocationK Vikramaditya Reddy

Pg14vikramaditya_r@mdi.ac.in 8130635920 Management Development Institute

Gurgaon

Rama Kishore Pg14rama_k@mdi.ac.in 8130684672 Management Development Institute

Gurgaon

Karthik B Pg14karthik_b@mdi.ac.in 9959965359 Management Development Institute

Gurgaon

Shanmukh Pg14shanmukh_v@mdi.ac.in 9558824360 Management Development Institute

Gurgaon

Yeswanth dasari Pg14yeswant_d@mdi.ac.in 9618441320 Management Development Institute

Gurgaon

Nokia Networks-Wipro R&D IT Challenge Entry Form

Professor Name & Details if any:_____________________________________

Abstract of the Idea-(300-500 Words) With the growing number of telecom users and their varied preferences, telecom service providers are facing the problem of customer retention. There are a number of telecom providers but none of them can wholly satisfy all their customer preferences. Enhancing customer experience by customization has become the need of the day. Analyzing customer usage behavior, identifying the Individual and group consumption patterns using data analytics and providing customer specific solutions would solve the problem faced. The idea is to find patterns in user Call behavior (Local, STD, ISD, and Roaming), Message (SMS, MMS), Internet (2G, 3G) and IVRS usage. Trends like Time of the day & Seasonal behavioral patterns also have to be taken into account. With customer preferences in mind, we would like to provide customer with customized nested plan options with optimal pricing solutions using customer care interface.

Keywords: Customer Experience, Value addition, Nested plan, Optimal pricing.

Nokia Networks-Wipro R&D IT Challenge Entry Form

A. What is the problem it aims to solve? Any supporting evidence that this existsThe problem that it helps in solving is giving the telecom users their preferred choice and customer experience by analyzing the usage pattern of the customers through data analytics.Some service providers like airtel, vodafone are providing this kind of customer preference but the limitation in this service is that they tend to analyze only specific pattern but not the overall pattern.

B. What is the concept ? Proposed Ideas/Solutions

Simple algorithm using data analytics is used in delivering the solutions to the problem. The idea proposed is to use big data to analyze consumption patterns of the customer.

C. Criteria used to compare solutionsThe criteria used to compare the solution is usage of different plans by the customer provided by the telecom operator which already exist in their package. The average waiting time by a customer to talk to the customer care representative can be taken into account. The time taken for the user to select desired option through IVRS can be the criteria to compare the existing solution and the proposed customized solution of IVRS.

D. Why is your solutions best and what impact will it create

Nokia Networks-Wipro R&D IT Challenge Entry Form

The Unique selling proposition of this idea is it enriches user experience through enhanced customization, gives the best and unique feature for the particular customer there by increasing the customer satisfaction. With high number of telecom providers providing different features to the customers and changing loyalty of the customer are the growing concerns which impact the customer retention to a great extent. The one who captures this problem and uses the scenario of data analytics to analyze the customer requirements and providing them the required preferences will emerge as a leader in the industry.

E. What are the tradeoffs , uncertainties, and risks of the proposed idea/SolutionsThe tradeoffs in this project is the cost involved in the development of the solution, the already less operating margin of the telecom operators may hamper to some extent for this solution. The uncertainty involved is very less as the criteria we are taking to develop the solution is the data of the customer preferences which is factual data. There may be a some deviation in this because of the new preference change in the customer. The risk involved is the heavy work load in implementing the customer