Identifying complex patterns over thousands of variables

Predictive maintenance, quality and manufacturing - enabled by extensive IoT integration and machine-learning models - are one of the most widely-heralded benefits of the fourth industrial revolution. Identifying complex patterns over hundreds or thousands of variables, Prescriptive & Predictive Modelling enables operators to develop a deeper, data-driven understanding of why events occur.

Establishing a robust data backbone is a fundamental enabler. Most organizations already have systems in place to record data, but their effectiveness can be undermined by poor analytics. Artificial Intelligence models can help organizations transform poorly organized sensor data into a form more suitable for predictive analytics.

Once they have their data in place, companies need to access them. Our professionals collect data from multiple systems and sources, creating a single source of truth and bridging the information gap between systems to provide a complete picture of an asset’s health. This critical component of the data architecture has multiple uses: it provides the basis for digital performance management, descriptive analytics and dashboards, while also serving as a unified layer for new maintenance and reliability applications and supplying the data required for advanced-analytics models.