Kolkata | Orissa | Jamshedpur
info@surflextechnology.in

Data Science and Analysis

Description

Data science is a concept used to tackle big data and includes data cleansing, preparation, and analysis. A data scientist gathers data from multiple sources and applies machine learning, predictive analytics, and sentiment analysis to extract critical information from the collected data sets. They understand data from a business point of view and can provide accurate predictions and insights that can be used to power critical business decisions.

Functionality

Data scienceis responsible for discovering insights from massive amounts of structured and unstructured data to help shape or meet specific business needs and goals. The data science has become increasingly important as businesses rely more heavily on data analytics to drive decision-making and lean on automation and machine learning as core components of their IT strategies.

Implementations

Surflex has done following project relating to data science and analytics.

  • Prediction of forecast about the future Product Sales, Data Consumptions, Voice Traffic Etc. for Telecom Operators.
  • Prediction analysis of Churning of customers analysing through the past data.
  • Predicting the purchasing behavior of prepaid/postpaid subscribers (Products, Cards, Data Plans, Voice plans etc.) to be able to plan for resources and offerings in advance and also to target similar subscribers with new offers.
  • Understanding behavioral aspects of a subscriber in Telecom business.