Analysing system data to anticipate & prevent failure

Where, when & why will a failure occur in the technology infrastructure?

Where, when & why will a failure occur in the technology infrastructure?

For manufacturing businesses with highly complex processes, the possibility of failures of people, processes and systems is a huge set of risks to assess, let alone manage and monitor. The problem is so massive that the Data becomes too Big for normal processing – combining structured and unstructured data from multiple sources such as systems, sensors and feeds with all their interdependencies, needs a Data Scientist to bring it all together and make sense of it.

Data science by experienced data scientists

Data science by experienced data scientists

Kruxonomy specialises in the science of data – a firm of professional, experienced Data Scientists who can guide you through the steps to collect, correct and correlate your data and distil out the insights. These insights can be used to prioritise operational risk factors, be the basis of your risk management structure / Regulatory reporting and calibrate your production systems. Risks are assessed individually and also in combination – the risk of multiple failures causing a catastrophe are minimised, to the best of any possible ability.

A comprehensive way to be sure everything has been thought of and the systems are based on an external, unbiased world view – minds that understand the nature of risk and probability.

2013 – An interesting & down-to-earth discussion about the development of data analysis and the art of prediction. A bit long at 1hrs 30mins but if you’re interested, a good watch

This diagram, from IBM, shows the layers of data and their users across a corporate technological infrastructure.

This diagram shows all the potential sources of data used in analysing where and why a system failure may occur

This diagram shows all the potential sources of data used in analysing where and why a system failure may occur