The report provides a basic conceptual understanding of Big Data as well as an overview of how it works.  The report looks at real-world use cases in various industries, as well as examples of current initiatives. The report provides an overview of the top Big Data companies globally and local examples of Big Data related initiatives, it also looks at the future of Big Data and market adoption.

Methodology

This research has been conducted through local primary thought leader interviews and secondary research aggregation in order to provide a summarized overview of the emerging field of Big Data.

Research team

The team for this research includes Ryan Smit and Clinton Jacobs.

 

Table of Contents

Introduction

  • Objectives and Methodology
  • Overview
  • Definition of Big Data
  • The Big Data Reference Architecture
  • Big Data Value Chain
  • Big Data Analytics
  • Types of Big Data Analysis
  • Big Data and AI

Big Data Trends, Drivers & Inhibitors

  • Big Data Trends
  • Key Big Data Drivers
  • Big Data Challenges
  • Other Challenges with Big Data

Global Big Data Market Players

  • Big Data Landscape – Infrastructure
  • Major Big Data Infrastructure Players
  • Big Data Landscape – Analytics
  • Global Big Data Analytics Solution Examples
  • Popular Big Data Analytics Tools
  • Big Data technologies

Global Big Data & Analytics Market Size

  • Global Big Data market sizing
  • Big data revenue worldwide by major segment
  • Big Data Tools Adoption

Big Data & Analytics Local Market Adoption

  • Big Data & Analytics Adoption
  • Big Data & Analytics Growth Expectations
  • Local Big Data management provider examples

Big Data Applications & Case Studies

  • Big Data Landscape – Enterprise
  • Big Data Applications – Industry
  • Big Data use case examples

Case Studies

  • Consumer insights and sentiment analysis
  • Credit scorecards
  • Loyalty program
  • Cyclist real-time tracking and data analytics
  • Formula 1
  • Supply chain organisation
  • Healthcare insurance
  • Influenza outbreak response
  • Risk assessment
  • Energy forecasting
  • Railway predictive maintenance
  • Telecoms churn
  • In-flight intelligence
  • Real-time monitoring of customer energy usage and outages

The Future of Big Data

  • Statements About Big Data
  • Scenarios for the future of Big Data
  • Overview of Scenarios

 

Deliverables and format

The outcomes of the research and analysis will be documented in a PowerPoint document.

BMIT will also provide a workshop/presentation in the Gauteng region, while reserving its option to combine this topic with other published topics.

Related research

  • Blockchain and Cryptocurrency Emerging Technologies
  • Artificial Intelligence (AI) Emerging Technologies
  • Internet of Things (IoT) Emerging Technologies

Further information

For further information and details on how to subscribe to this research please contact Anita Mathews on 082 466 2317 or anita@bmit.africa