Traditional Operating Models are broken

  • provide better customer experiences & outcomes
  • make better business decisions
  • improve quality
  • develop insights
  • support automation

Ecosystems not architectures

  • incorporate the relationships between key stakeholders
  • automate the traditional processing
  • see seamless information flows of data
  • are specific to their environment
  • can adapt to market forces and changes
  • leverage specialist services and innovations
  • evolve and develop over time

So what’s broken

Starting out

  1. What is your vision on how you operate in the future?
  2. What capabilities do you need to operate and succeed in the future?
  3. Where is the greatest value driven from within your organisation?
  4. Are you clear on the problem you are trying to solve? Are the key stakeholders aligned on that?
  5. How does solving the problem meet with the strategy of the organisation?
  6. Are you clear on the requirements that must be met and the criteria that must be met?
  7. Are the tangible benefits clearly understood?
  8. What environment does the solution need to operate within?
  9. What are the different solution options to be considered and why are you going with the selected solution?
  10. How do you determine the best fit for your organisation?
  11. What capabilities will be required to deliver & run the change? How do I fulfil that capability?
  12. How do we ensure we are able to pivot and change over time?
  13. What are the competition doing?
  14. What can I learn from other organisations?

The technology angle

  • Macro technology decisions made now, will effect how your organisation perform in the medium to long term
  • You have to consider that we are now moving into the age where we are all in tech one way or another
  • The ambition of an organisation and its longevity has to be considered
  • Understanding where an organisation sees its Value and IP is critical
  • Any organisation who does not want to be left behind must understand the value of its data and how/what role AI & Machine Learning will play
  • Do not rebuild what you already have

The future

  • The customer must be at the centre of your operating & business model
  • Leverage of big data is critical from both internal & external sources
  • Traditional functions will be automated and it will be about decision making, creating new products/services & navigating the landscape
  • AI & Machine Learning will be essential for insights & analytics to support Customer Experience, tailor products and support strategic decision making
  • Utilising IaaS/PaaS solutions allow businesses to scale
  • Data Privacy is critical for trust, building solutions with security by design is essential
  • Agility and adaptability will be critical for long term survival

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Change with intelligence

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