#Big Data
Big Data alchemy reshaping Health & Safety borders. Dredging massive oceans of unkempt docs for pre-crash cures. Tossing rig-logs, scratched-knee stats, and SOUT audits into deep lakes for Machine Learning devours.
Analytics as a Management Philosophy
The article is dedicated to industrial safety analytics as an intelligent tool for transitioning from reactive incident investigation to proactive risk management. Based on data from equipment, audits, and video surveillance systems, the modern approach allows predicting incidents and identifying their hidden root causes. This helps enterprises allocate resources to safety in a targeted manner and make management decisions based on accurate data rather than intuition.
Anticipate by Inspecting. Digitalization of Energy Supervision
Creation of a comprehensive automated system of departmental energy supervision (AS SVEN) to transition from paper reports to a unified digital ecosystem. Implementation of failure tracking modules, control of corrective actions with a strict 10-shift regulation, development of a desk audit mechanism, and transition to predictive analytics based on accumulated data.
Project Risk Management System as Part of Digital Infrastructure
Integration of project risk management systems into enterprise digital infrastructure using Big Data and predictive analytics. Application of mathematical methods (Kendall's coefficient of concordance, Pearson's biserial correlation coefficient) to assess the consistency and efficiency of expert forecasts, as well as the transition to Russian IT solutions (e.g., RisGap) for risk management automation.