IoT data integration

Turn data into actionable intelligence with device interoperability and IoT data integration between people, systems and things

The Internet of Things (IoT) introduces new formats and immense volumes of data. By 2024, 50% of enterprise application data will be sourced from IoT.1 And, expectations around integrating and achieving a rapid return on investment (ROI) on IoT proof of concepts are rising.

Many initial IoT deployments focused on tactical use cases, such as failure identification, but must now expand to deliver strategic value and business efficiencies. Aggregating and integrating IoT data can deliver innovative service offerings and enable new business models that expand the ROI of IoT deployments.

OpenText™ Ecosystem Integration for the Internet of Things enhances data utilization and communication for better, quicker decision making.

1. Gartner, Gartner Data & Analytics Summit, March 2019

OpenText Ecosystem Integration for IoT overview

The OpenText™ IoT Platform standardizes how data is identified and represented, ensuring the highest level of security and integrity can be maintained at scale. It rapidly, securely and flexibly integrates structured and unstructured data. This eliminates the cost and complexity of managing changing document types, data formats, protocols or creating and syndicating integrations for machine-to-machine and application-to-application scenarios.

Ecosystem Integration for IoT uses an identity-centric approach to secure device management, providing connected devices with a digital identity, a digital twin that authenticates and verifies the device. A digital identity makes it possible to configure business logic based on events, process sequences or analytic thresholds that deliver notifications or take other informed actions. With an integrated IoT ecosystem, enterprises can easily collaborate with internal or partner-led development teams to create value-added services, improve customer experiences and, ultimately, grow revenue.

OpenText Ecosystem Integration for IoT features

Enterprise adapters

Ingests and publishes data to and from third-party data stores and enterprise systems and integrates with third-party web services.

Pub-sub engine

Enables realtime messaging to publish and subscribe to events for app-to-app data synchronization, where a change triggers an event and subscribers receive the latest data.

Trading partner and connected enterprise management

Configures and manages collaborating entities to logically separate message traffic and establish messaging privileges. Exchanges messages and data feeds between trading partners through applications and communication streams.

File management

Manages files with scalable object-tracking through unattended techniques (SCOUT) for agent-based file transfers with external sites, API-based file transfers, a Messaging Hub (up to 10 MB) and an Enterprise Message Bus (for EDI files).

Provisioning, audit and traceability

Syndicates user, application and device profiles, as well as authorizations, across the digital ecosystem. Shows messages, metadata, routing and control information, before and after transformations. Offers command acknowledgements and detailed timestamps for all processing steps and traces failed messages.

Monitoring, metering and throttling

Configures failure monitoring with policies based on message type and priority. Throttles incoming data streams (active sending, passive sending, both directions) to a specified number of messages per second.

Standard data interchange

Uses standardized formats with support for machine-to machine (traditional) EDI, web EDI and a CSV messaging solution that translates .csv files to EDI.

Composite service creation

Enable the creation of composite services, using Custom App Protocol Service (CAPS) along-with an orchestration engine.

Authorization policy framework and API security and syndication

Leverages OpenText™ Identity and Access Management (IAM) as a gatekeeper for protected data resources. Creates and manages APIs once and syndicates them into various internal and external developer communities, each with their own branding, licensing, security and other localized attributes.

OpenText Ecosystem Integration for IoT benefits

Improve visibility and governance of digital twins

Leverage a graphic depiction of relationships between entities in ecosystems to provide a map of digital twin relationships to real world counterparts.

Enable modeling and simulated interactions

Test and validate data stream integrations in digital ecosystems that mirror real world relationships.

Build and manage IoT ecosystems quickly

Define and execute business logic and decisions based on lifecycles and relationships between entities with a flexible and robust rules engine.

Monetize IoT data

Isolate, secure and brand specific data streams delivered or presented to internal or external entities.

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