Overview of the Cognitive Analytics Module

Many companies face challenges when trying to utilize their asset performance data. It is difficult to trust the data or to complete effective reliability analyses because the quality of the data is often compromised due to missing or incorrectly classified information.

Cognitive Analytics provides tools to input your asset data and the corresponding work history events and then to transform that data into a standardized, classified format. Using Cognitive Analytics, you can create a cognition to classify your historic, transactional data. Cognitions classify data by using logic to identify fields from your data to populate the Cognitive Analytics classification of your data. Additionally, Cognitive Analytics utilizes machine learning algorithms to find patterns in your unstructured data to continuously improve the classification process.

When your asset performance data is classified in a standard format, you can more effectively:

Compare asset performance between sites.
Complete advanced analytics on event characteristics to identify improvement opportunities and to produce reliability metrics.
Participate in benchmarking activities to measure asset reliability and performance against industry norms.