School of Telecoms Management

90933
Full price: £1225
Earlybird price: £1095

Big Data for Telecoms Professionals Programme

DAY 1:

 

What is data and interesting versus actionable data

 

  • Understanding the different forms of data
  • Demystifying the commonly used data terms
  • The data problem?
  • Mining data
  • Looking at the “right” data
  • Interesting and actionable data

o   The difference between the two

o   How to put actionable data to use

 

  1. BIG DATA AND BIG DATA AND BUSINESS INTELLIGENCE

 

  • Defining the boundaries of what is big data and what it is not
  • Understanding the nature of big data:

o   Foundational volume, velocity and variety

o   Understanding veracity and value as drivers of big data

  • Difference between Big Data and Business Intelligence

 

  1. BIG DATA LANDSCAPE

 

  • What the landscape currently is, and the drivers of change
  • Importance of understanding the changes in the big data landscape

o   Technological changes

  • The rise of the data scientist

o   Who is the data scientist?

o   Why the data scientist

o   The skills of a data scientist

 

  1. IDENTIFICTAION AND MOVING BETWEEN THE PHASES OF ANALYTICS IN THE CONTEXT OF BIG DATA

 

  • The different phases of analytics
  • How to move between the phases
  • From knowledge to action

o   Understanding uncertainty and how to move into a usable probability

  • Analytic techniques used in the context of big data

o   Which techniques and why

 

  1. DIAGNOSTIC AND BARRIERS AND CHALLENGES

 

  • Application and briefing of big data diagnostic for organisational readiness for leveraging big data
  • Common barriers and challenges in the use and implementation of big data initiatives
  • Framework on how to identify the barriers and challenges in your context
  • Framework on how to overcome barriers and challenges
  • Technological challenges and barriers and initiatives to overcome

o   Master data management: Governance, policies, processes, standards and tools

 

DAY 2:

 

  1. FRAMEWORK TO BUILD THE BUSINESS CASE

 

  • Unpacking the 4-step framework to build the business case;

o   Quick wins, quick value in a data world

  • How to leverage big data for strategy – and why should big data be leveraged

o   How big data intersects with strategy: You need a business strategy supported by data, not a data strategy

  • Case study application

o   Case application that spans the sports, telecoms, insurance and social media: Big Data focus

 

 

  1. LEVERAGING BIG DATA FOR STRATEGY

 

  • Understanding the interaction between big data and business strategy

o   How big data can be leveraged for strategy development

  • The key tenants of business strategy in a data rich world
  • Leveraging big data to change the industry landscape – the basis of fulfilling consumer needs; and
  • Case application: Retail sector using data to disrupt