I’m working at Vodafone as a financial decision support manager. Especially for the last three years i’ve been working on large data sets so that i can improve the decision making process for sales and marketing people. During these years, i’ve been faced with the constraints on analyzing this large data sets. I would like to improve my data science skills to support decision making process with efficient and effective solutions.

UseR-2018 Videos

Using R to help industry clients - The benefits and Opportunities by Dr Lisa Chen

Dr Lisa Chen introduced Harmonic Analytics that is a very young data science company founded in 2003. Harmonic Analytics creates solutions for customers from different sectors including; agriculture, aviation, banking, energy, government, health, telecommunications and utilities. Harmonic analytics has experience using R including designing solution-based models for various problems of the customers. Dr Lisa Chen shared the observations from industry professionals. Based on the observations, executives enjoys R due to cost effectiveness, problem solving abilities in shorter periods and efficiency - ease of use. Managers likes working with R because of team building, functionality and internal development. Common concerns for R in different sectors are no commercial support for R models, capacity shortage and choice of language (R or Python). Opportunities on R for industry clients are solution diversity, data visualization options and data quality. To sum up, based on the experience of Harmonic Analytics, there is a rapid growth in using R and industry professionals are more willing to meet the data scientists than the past.

#1 - Social Network Analysis for Telecoms

The slides describe the analysis of historical telco data from several major North American markets. It shows the social network influence is a strong predictor of a customer churn.

Social Network Analysis for Telecoms

#2 - Predict Customer Churn with R

In telecommunications industry, churn refers to disconnection of the customer from one operator. In telco business, it is a very important KPI because most customers have multiple options in the market. In this article, a prediction model for churn is represented by using R.

Predict Customer Churn with R

#3 - Social Network Analysis Using R Programming Language

By using a created array named “people” and social network created named “sn” instructor is first creating a matrix table to analyze who in the network reciprocate to other member in the network. Instructor then uses a gplot command to visualize the plot of the network where representation fails to capture who is more central-powerful- in the network based on nodes. Lastly he introduces a command to re-arrange vertex sizes based on new degree called out-centrality “od”, “in-centrality” “id”to makes sense of who is focal point of the presentation when consideration.

Social Network Analysis Using R Programming Language