Data Management

Managing critical data across your organization and throughout a facility’s lifecycle is vital to ensuring that data is available, reliable, and valuable. Our platform-agnostic approach to engineering information lifecycle management looks at the entirety of how data is generated, stored, managed, distributed, analyzed, and used at various points in your workflow and multiple phases of a project, from feasibility studies to facility design to procurement and construction to operations. 

Everyone in our industry is talking about Digitalization and Digital transformation, Digital Twin, industry 4.0, IIoT, silo integrating, big data, interoperability, data analytics, artificial intelligence, blockchain, and machine learning. But all of this starts with reliable measurements, working safer, reducing costs, and working more efficiently. We have been buying intelligent sensors for decades, but we do not use diagnostics. We do not combine these data holistically with historical validation data, maintenance/engineering data, and real-time process data. Data management consulting aims to ensure decision-makers have accurate and relevant information to make fact-based decisions.