11 Jun The Risk Of Not Predicting Risk
Remarkably, It was not until the mid-19th Century that doctors realized the benefits of washing their hands. If not for the astute observations of Ignaz Semmelweis, it may have even taken much longer.
In 1864, he started observing that there were more deaths per patients in one ward than another, and while no one else had picked up on this phenomenon, he investigated further. He realized that the doctors in the ward with more deaths also performed autopsies, and carried the disease to the maternity side giving way to multiple female deaths. This disease was called puerperal fever, also known as child-bed fever, and just by washing their hands, the rate of disease fell drastically. This was one of the most important discoveries of modern public health.
But, do we always need to go through failures to prevent them?
In today’s challenging business environment, the biggest risk is the inability to prevent it. This holds true for public health, economies, and also something closer home for me, IT delivery. Customers are more demanding of quality first delivery than ever before, and the overall relationship is moving swiftly to outcome-based programmes. The ability of technology teams to be able to predict future risk and contain it at source is higher than ever before. This was the seed of thought which allowed us to conceptualize our Command Center, already live in our automated delivery engine, #NewAgeDELIVERY.
The Command Center works on the premise of learning from past delivery experiences, curating every interaction and using data science to identify the source of future failures to enable their containment before they spread. These could be the flight plans, the resources on the team, or the estimation of time/effort/delivery. Learning from our past failures teaches us quite a bit, and assessing past delivery experiences, challenges and successes can help us in understanding where to support and when to support any delivery to protect it from future risk. The Command Center allows us to use our past delivery experiences to predict, prevent and resolve future failures at source even before they see life. We refer to this as the future of Quality, a future where quality of tomorrow is identified, addressed, and protected today.
By continuously learning each interaction in the course of delivery, we can predict and contain failures at source. Containment of a failure source, as realized during the current COVID19 pandemic, is arguably the most important criterion to arrest a larger future risk. The Command Center will enable customers to ensure high quality end-outcomes, a reduced total cost of ownership & design debt, and deliver a better end user experience, while helping delivery teams better utilize their teams, predict possible future failures, and contain them at source today. Deliver early and often is well understood, but assessing risk and defects early and often are just as important and define the total quality index of any end product. The new benchmark of quality will be the ability of technology to be able to ensure customer success by identifying failure well before they actual take place, and thereby, reducing the risk of not predicting risk!