Dodgy data dulls your senses and leads to poor decision-making. Why? The purpose of your information system is to help you do two things: make sense of what is happening in your environment and support effective decision-making.
Complex systems, by their nature, generate a tangled web of connecting causes and effects. So it’s surprising how often solutions aimed at fixing root-cause issues come down to a binary choice: do ‘X’, or don’t do ‘X’. Both can seem necessary—the classic dilemma. So what’s the way out?
All models are wrong. By definition, they simplify reality. The map is not the territory, but sometimes it’s exactly what you need. Imagine if you could isolate the root causes of problems in your organisation and map their connections on a single page.
Despite the disruption brought about by the pandemic, we already know some aspects of our future. Regardless of when and how we reboot our economy, it will no longer be in our national interest to rely on China for the manufacture of products critical to our lives and livelihoods.
How do you make sure you have the right amount of inventory to service your commitments, without tying up any more cash than you need to? This problem lies at the heart of distribution and replenishment. Luckily, there’s an unconventional solution.