Introduction to Big Data

£795.00 + VAT


The need for understanding and leading change has never been greater. As organisations become leaner and more competitive, supply chains become more effective and integrated, and as information systems and communications become faster and more sophisticated it is vital that managers need to be able to lead and manage change at all levels in their organisation.

By the end of the course, participants will:
  • Why businesses change
  • How businesses are structured and change their structures
  • How the supply chain can operate and change effectively
  • How to diagnose the need for change
  • How to develop the vision and the plan
  • How change affects people and teams and how best to manage them through the change
  • How to measure success

Session 1

Understanding Change and why it occurs

  • What drives Change in Supply Chain Organisations
  • Different varieties of Change
  • The evolution of businesses and their structures
  • Leadership for Change
  • Culture and Power in Organisations
  • Dealing with Conflict
  • Individual and Team Change – different approaches
Session 2

Diagnosis and Preparation

  • Diagnosing the need for Change
  • Hard and Soft Change
  • Kotter’s eight steps for Change
  • Creating the Coalition
  • Creating the Vision
  • Creating the Plan
  • Choosing the Agent for Change
Session 3

Making the Change

  • Avoiding conflict and building on progress through communication and feedback.
  • Managing the change at all levels, personal, team and organisational – different approaches, different strategies, Push/Pull, Levers for Change
  • Monitoring and managing staff morale, consultation and team building
  • Personal Transitions – how people respond to Change
  • Sustaining and managing the plan
  • Monitoring progress and adapting the plan
  • Conclusions

Introduction to Big Data

No company should underestimate the importance of Big data. Companies gain an important competitive advantage over their competitors with the ability to capture store and analysis vast amounts of data. Therefore, it is imperative for supply chain professional to understand what big data is and how it can add value to a supply chain.

This course is for those who want to start thinking about how Big Data might be useful in their business or career. It introduces one of the most common frameworks, Hadoop, that has made big data analysis easier and more accessible — increasing the potential for data to transform our world.


  • Supply Chain Professionals
  • Purchasing and Procurement professionals
  • Managers and Executives
  • Operational management

This Introduction to Big Data course does not require technical IT experience or knowledge. It is designed to promote awareness of big data and its applications within the supply chain industry


  • What is Big Data (versus small data)?
  • Sources of Big Data
  • At a scale, The Four V’s of big data
  • Ten principles of Big Data
  • Making sense of data
  • Data in your organisation
  • Understanding Big Data application across a supply chain using real case studies
  • Identify opportunities in the following data sources
  • How would you combine the data sources?
  • Visualisation
  • Hadoop
  • Google dashboard


  • The characteristics of Big Data
  • Types of Big Data
  • Principles of Big Data
  • The 4V’s of Big Data (Volume, Velocity, Variety and Veracity)
  • Where Big Data is Used
  • Domains: Data Storage, Computations, Infrastructure
Share This