Asset Modelling and Mapping System
Creating secure, dependable data pipelining serving both
batch and real-time data sources along with data quality
suitable for specific use-cases is still today a major challenge
for manufacturing and energy operators. In fact, the
relationships between data in different systems are largely
documented in the minds of domain experts, making it
difficult for other stakeholders to discover and use the same
data for their own purposes.
EOT’s Twin Central allows the creation of an asset centric,
single source of truth semantic data model. With Twin
Central, business technologists can map, link, store, and
synchronize relationships between assets and their
operational, engineering and financial meta data using a
unified relationship graph.
For business technologists and data science engineers in the
Energy and Manufacturing industries who need their
operational data contextualized with business and process
metadata to make better data-driven decisions the EOT Twin
Central TM is a SaaS application that, unlike its competitors,
enables no-code creation of contextualized models from
disparate business, financial, and operational data sources,
and querying, search, navigation of current and historical
contextualized models of assets, data, and processes.
Embrace AI-enhanced active metadata curation, using semantic graph modeling to facilitate OT/IT/ET data contextualization and discovery in Energy and Manufacturing
EOT Twin Central is the best-in-class SaaS data operation platform enabling data contextualization at scale and supporting an asset centric single-source-of-truth leveraging semantic contextualized models. It is powered by two AWS IIoT global cloud services, such as AWS IoT SiteWise for cloud historian data storage and asset hierarchy management, and AWS IoT TwinMaker for its capability to integrate siloed asset hierarchies from multiple business and operational data sources into an integrated and flexible graph models.