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Big Data, Analytics & Visualisation

Runs over 2 weeks.

Introduction

This module aims to enable participants to understand the principles, challenges and opportunities offered to organisations (particularly eBusinesses) by Big Data. The focus of the module will be primarily on the management implications, rather than technical specifics of a Big Data architecture and/or analytics (both of which are introduced). Following from this, the module will also focus on the visualisation of Big Data, and of the insights derived from Big Data analytics, to support management decision making.

Objectives

To understand the differences between Big Data architectures and traditional data warehouses, and the business scenarios in which one is preferable to the other.
To develop an awareness of best practices in data visualisation and the use of visualisation software.
To be able to utilise Big Data and visualisation in organisational decision making environments.

Contents

Big Data Technologies

  • Core Concepts of Big Data
  • Data Warehouse Architecture
  • Big Data Architecture
  • Overview of Big Data and Analytics Software

Analytics

  • Core Concepts of Analytics
  • Digital Analytics
  • Decision Analytics
  • Discovery Analytics, Data Mining & Machine Learning
  • Advanced Analytics

Decision Science & Visualisation

  • Key Topics in Decision Science
  • Decision Support Systems
  • Visual Communication
  • Data Visualisation
  • Data Visualisation Software

Big Data and Visualisation in Business Decision Making

  • Practical Simulation of the Above Topics
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