Smart Data Cleanser (SDC)

Cybernet’s Smart Data Cleanser (SDC) provides a platform-agnostic machine learning approach to correct coding errors in Air Force maintenance records. The SDC now accomplishes in 1 day what previously took experts 4 years per platform.

Maintenance record coding errors are so widespread in the Air Force repository that they prevent effective downstream analysis. The SDC auto-generates and executes data filtering rules to provide the cleansed maintenance data key to effectively avoid unscheduled maintenance.

The SDC was designed and developed over 10 years at Robins Air Force Base with the premier Air Force subject matter expert on maintenance record scrubbing to ultimately replace his role. The SDC provides intelligent application and automation of his decades of hard-earned data cleansing insights to now far surpass human capability.

Just-In-Time Maintenance Risk Discovery

Work Unit Code (WUC) correction auto-filters generated by SDC now touch every C-130 and C-5 arriving at Robins AFB, saving an est. $3M+ annually in unscheduled maintenance and freeing thousands of expert hours
“Revolutionary for managing legacy USAF maintenance data” – Section Chief, AFLCMC/WLNEB, C-130 Hercules Division Structures and Integrity Engineering

Automated Maintenance Code Correction

Encodes and extends data cleansing knowledge and techniques of a rare subject-matter expert, to outperform “greybeard” contractors in speed, quality, and quantity of filter generation
White-box validation approach with human-readable filters keeps humans in-the-loop with documented record of filter origins and performance
Turn-key, cross-platform filter generation immediately applies to all fleets without expert input or reprogramming using a platform-agnostic approach

Download Capability Sheet