What does it take to truly be data-driven in decision making, from executive to operational teams, within an organisation?
To be truly data-driven, an organisation needs to prioritise uncovering causal relationships and pursuing knowledge over simply optimising numbers or setting arbitrary goals.
Building a higher fidelity signal from noise is critical, and moving away from the ‘wiggle line’ to distilling the signal to action, from the noise.
A core obstacle to achieving this is the difficulty in interpreting variation in data, which allows you to see what will happen and anticipate the outcomes.
Frameworks such as the Process Behaviour Chart (PBC) and the Weekly Business Review (WBR) from Amazon, can help organisations understand when a significant change has occurred versus just routine fluctuation, ultimately leading to a more profound understanding of core business processes, from the customer experience delivered every day, to the end-to-end operational processes that run the core of the organisation.
Yet the true power lies in the cultural shift towards a process control worldview and the relentless pursuit of knowledge, which can lead to significant competitive advantages.
To help leaders working to uncover the ‘why’ and the ‘how’ on the elements required to deliver this change, I have compiled this AI-powered podcast from the synthesis of the research and reading I have pulled together on this one.
Happy listening …
can do meta 