Overview

Ask a CEO about their priorities in today’s economy and “Innovation” will be near the top of their list. But ask them how they are measuring and analysing innovation – or even how they define the term – and you’ll struggle to get an answer.

In this course we start from the premise that innovation is not just inspiration – it is a practical area of work and study which can be motivated, measured and managed effectively.

Unique aspects of this course include an emphasis on practical innovation processes, for generating new ideas, encouraging participation and measuring progress for teams and organisations. We’ll explore how teams can innovate together and as individuals in distributed, offline organisations.

By the end of this course you’ll be equipped with tools which enable you to innovate in any area of your work – and beyond! But you will also have an effective understanding of the metrics which enable you to track various forms of innovation, both individual and team-based, or open innovation embracing customers and partners.

Learning Objectives

  • A working definition of innovation
  • An understanding of different types of innovation, suitable for different industries and scenarios
  • The role of data and analytics in digital innovation
  • The potential for data and analytics -driven business models
  • How innovation can go wrong
  • How to tell the story of innovation, especially useful for pitching, marketing or internal communications
  • Differentiating your product or service
  • How to run ideation effectively
  • Enabling individuals and teams to collaborate to their best effect
  • Online and offline collaboration for innovation
  • Leveraging incentives for innovation
  • The role of analytics in managing innovation
  • Innovation metrics

Course Outline

  • Defining Innovation
    • Basic concepts of innovation
    • Innovation and novelty
    • The work of innovation
    • Emergent innovation
    • Challenging existing assumptions
  • Innovation in data and analytics
    • The value of new insights
    • Data and analytics as a new line of business
  • Innovation Successes and Failures.
    • Case studies of good and bad innovation, from a variety of industries.
  • How to tell the story of innovation
    • Innovation narratives
    • Differentiating your innovation from the rest of the pack
    • Increasing user commitment
  • Ideation Practices
    • Why brainstorming doesn’t work
    • Alternative approaches to ideation
    • Diversity and innovation
    • Teams and individuals
    • Synchronous and asynchronous processes
    • Sharing ideas
  • Analysis and Innovation
    • The elements of innovation strategy
    • Innovation metrics
    • Enabling innovation with data and analytics
    • Tracking innovation

Who It's For

  • Innovation officers, Chief Product Officers, product managers and designers, service designers, executives with innovation responsibility
  • Data analytics professionals, including CAOs, data scientists, and data analysts
  • BI and analytics developers, data visualizers, data storytellers

Speaker

Donald Farmer

Principal

TreeHive Strategy

Donald Farmer is an internationally respected speaker and writer with over 30 years of experience in data management and analytics. He advises investors, software vendors, and enterprises on data and analytics strategy. Donald led teams at Microsoft and Qlik, building some of the most important and innovative analytics platforms on the market.  His consultancy, TreeHive Strategy, works globally with teams from the newest startups to some of the worlds largest businesses. In addition to data strategy, Donald frequently consults on governance and compliance issues, particularly for companies implementing self-service architectures. His workshops on innovation strategy have helped to drive significant changes in numerous businesses.

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