IT and OT teams are siloed, working separately with differing objectives and misaligned technology systems. This results in a fragmented data landscape across IT and OT with little, if any, data context. Achieving context requires aligning data across many domains.
The challenge in doing this is threefold:
Heterogeneous OT data is spread across many plant sites, locked up in legacy systems at the plant and in engineer’s spreadsheets.
OT data is notoriously low quality, specifically in terms of its usability outside the context of the system that generated the data.
OT data is largely ungoverned. As a result Industrial Enterprises have been unable to leverage OT data as an information asset across the Enterprise.
Data Silos Hinder Integration Between IT and OT
Poor and Inconsistent Data Quality
Lack of Strong Data Governance
Element Unify is a new class of enterprise software that brings IT and OT teams together on a single software solution. This allows IT and OT teams to work collaboratively to build rich data context at scale with no-code, automated data pipelines. The end result is a single federated, contextualized source of data from which users can establish their own single version of the truth, all with a powerful governance engine ensuring data integrity across the enterprise.
By aligning and scaling critical OT/IT data, the value of data is unlocked, enabling the delivery of high impact, enterprise-wide analytics that improve core business performance outcomes like asset flexibility, security, reliability, safety, and cost.
This lets them serve their OT partners better, helping satisfy OT business analytical application requirements, all while delivering the enterprise scale, reliability, security, and adaptability enterprise IT applications require.
Add meaningful value to the OT data domain by delivering a single IT/OT data management solution that satisfies the OT analytical application requirements. Additionally, no “rip and replace” — Element Unify easily snaps into IaaS Cloud systems and IoT services.
Enabling a layered process in which every team continues to add to the overall enterprise data model by providing their perspective. This drives an increasingly rich, more contextual view of the assets — and corresponding metadata — informing the manufacturing process.
Provides out of the box, ubiquitous connectors and no code data pipelines that allow the easy ingestion of metadata from OT systems, IT systems, spreadsheets and P&ID systems. This helps eliminate poor OT data quality, and provides timely, highly contextualized, and actionable data.
Key features include
Automated No-Code Data Pipelines, and IT/OT Transformations
APIs, OT Agents & Tools
Connected metadata and defined relationships stored in Element Graph
Automate Devops & Unify IT/OT Data Silos
Combine data, making it contextually rich, and compose whatever data model is needed in order to consume raw data via analytical tools. By leaving data in its source systems — including in Cloud storage systems — or replicating the data elsewhere, Element alleviates the problem of data silos, provides rich data context, and enables metadata to be consumed and governed wherever it lives, across OT and IT.
Key features include
Connected metadata and defined relationships stored in Element Graph
Query graph for rapid schema building, testing and sharing
Derived graphs supporting individual use cases stay aligned to enterprise data model
Metadata sources are chained together and kept up to date with source systems
Enables the Management of data models, semantics and lineage, delivering a robust data governance engine that ensures a single source of truth for industrial metadata across the enterprise. Keeps data models, and derived models, templates, and pipelines in sync across multiple source systems, tracking data lineage and providing a single source to view, organize and manage all datasets.
Key features include
Data Catalog for metadata inventory, discovery and lineage tracking
Templates for fine-grained semantics control
Dataset lineage tracking
Data persistence and propagation for data model synchronization
Time series tracking of all metadata changes
Provides a comprehensive knowledge graph of all federated IT/OT metadata, enabling consumption by any data user or system whether on-prem or in the Cloud. Stores metadata in a graph model enabling greater flexibility, scalability and speed.
Key features include
Stores connected metadata and defined relationships
Leverages templates for fine-grained semantics control
Rapid schema building, testing and sharing
Advanced Graph query using Cypher
Element Unify is built on top of a robust, scalable, highly available, event-driven, adaptive architecture. Element Unify maintains a strong security posture ensuring that your data is secure using an ISO 27001 ISMS program, best practices in modern, security conscious, application development practices and a suite of security management tools to ensure the safety and availability of your data.
Key features include
ISO270001 Certified
SSO support
Element Unify Availability SLA - 99.9%
Event-Driven, Adaptive Architecture
Sitting on top of Element Unify is a highly flexible consumption layer, allowing Industrial enterprises to use whatever existing technology they desire — BI and Visualization tools, ML tooling, Data Warehouses, Data Lakes and more — as a means of engaging with Element.
Sitting on top of Element Unify is a highly flexible consumption layer, allowing Industrial enterprises to use whatever existing technology they desire — BI and Visualization tools, ML tooling, Data Warehouses, Data Lakes and more — as a means of engaging with Element.
Rich knowledge graph supports identification, discovery and rapid application schema planning and development across connected data.
Accelerated Business Velocity
300% faster time to insight
3-5x gain in project execution
100% increase of the usability of data in decision making
More informed and effective decision making, increased operational efficiency, and improved business outcomes
Safer, cleaner, healthier, and more profitable operations
More Value From the Data
Better consistency, usability, governance, analytics, collaboration and more
Enterprise scalability across all production sites and systems for fleetwide analysis and AI/ML
Data syncing across systems keeping data evergreen for analytical consumers
Understand data utilization and usage across teams and the enterprise
Metadata System of Record to support projects worth hundreds of millions
Key features include
IT & OT aligned and working together to benefit the business
Reduce silos, both within OT and across IT & OT
Accelerate business transformation
