Big Data & Analytics for Telcos Series

Series Highlights

With the explosive growth of smart phones, telecommunications network operators are experiencing massive growth in the volume, variety and velocity of data travelling across their networks. Telcos have always collected voice data but today’s data is much more complex and includes photos, video, streaming music, web browsing, location data, social media, text messages, email and more. Traditional storage and analytics solutions cannot adequately manage this expanding, diverse volume of data. Telcos need new storage and analysis solutions so they can cost-effectively store and derive insights from this growing and invaluable volume of customer data. The Ossidian Big Data and Analytics for Telcos Series follows on from the Ossidian Telco Transformation Series for Telcos and comprises four eLearning modules that highlight examples of Big Data and Analytics use cases and that explain how to gather, in real-time, massive quantities of unstructured and structured data to gain insights, deliver location-based services and targeted promotions, improve fraud detection and, most importantly, leverage its customer relationships profitably.

Course Contents

Overview

  • Introduction and Gold Mining Analogy

  • Applying Big Data and Analytics

  • Big Data Definition

  • The Four V’s

  • The Growth of Big Data

  • 360 Degree View of the Customer

  • Benefits and Application

 

How Big Data Works

  • Big Data Mechanism

  • MapR and Hadoop

  • Data Sources for Analytics

  • Structured and Unstructured Databases

  • Data Gathering, Cleansing and Processing

 

Analytics

  • Analytics Engines
  • Machine Learning – Introduction
  • Machine Learning – Building a Model
  • Data Analytics Stakeholders
  • Text Analysis
  • Sentiment Analysis
  • Numerical Analytics
  • Multimodal Analytics
  • Real-time Analytics
  • Structured Queries and Faceted Search

Visualisation

  • Data Visualisation
  • HR Performance Visualisation Example