Akanksha Manik Talya, Sarah Lukens & Manjish Naik co-authored this post.
Most industrial companies would like to take advantage of the volumes of information in their plants in order to incorporate data-driven decision making into their business processes …but how? There are many recommended work processes out there for improving reliability and maximizing maintenance, so how do we integrate raw data into these processes for actionable insights?
Asset Answers helps answer these questions. Asset Answers (AA) aggregates millions of work history and equipment records from any CMMS/EAM (Computerized Maintenance Management Systems/Enterprise Asset Management) from industrial facilities around the world across different verticals, which can be used to characterize different maintenance strategies. Asset Answers then analyzes this information to identify commonly occurring failures and characterize failure patterns and their cost. This rich data set is anonymized and made available to subscribers who can compare themselves against peer data. With such insights, reliability engineers can stop spending most of their time on data processing and aggregation, and have data at their finger-tips, ready for analysis as soon as they login to Asset Answers. By incorporating data into decision making, Asset Answers along with Asset Performance Management (APM), enables an organization to go from reactive (fire-fighting) to proactive (predicting and preventing failures). In this blog post, we review such value adding insights that can be derived from GE’s Asset Answers. GE has cracked the repeatability code to consistently and efficiently map data from CMMS/EAM systems in a scalable way to give out-of-the-box, peer-benchmarked insights.