SOLUTION OVERVIEW

Ecosystem Integration
for the Internet of Things
Integrating operational data with enterprise systems
is a critical step to achieving digital transformation

Consolidates andThe benefits gained from the Internet of Things (IoT) are

extracts data insights

easily and widely recognized. In a recent McKinsey survey,

from numerous

60 percent of executives stated that IoT provided significant

structured andinsights.1 Realizing these benefits requires integrating andunstructured sources

extending data beyond its original systems. Interoperability
and secure information sharing between all people, systemsIngests and publishes

and things creates competitive advantages across all aspects

data to and from third-of business, from customer experience and supply chain toparty data stores anddistribution and internal operations.

enterprise systems

The OpenText Internet of Things Platform has evolved since its inception as theworld’s largest B2B marketplace. It has enabled companies, such as General Motors,
to operate a global data exchange at massive scale, providing an efficient andreliable “electronic supply chain” with lower cycle times and reduced costs. Today,
this Platform-as-a-Service (PaaS) combines all the foundational technologies
required for seamlessly integrating disparate systems and enterprise data.

Extends
IoT-sourced data
Harnesses the powerof the digital twin

Stats Source:
1. McKinsey & Co., Taking the pulse of enterprise IoT, July 2017.

oT

ynt
ys

Embracing and extending business applications through an identity-centric
approach provisioning people, systems and things

Ecosystem
Integration for IoT

Consolidates and extracts data insights from numerous
structured
unstructured sources
Unifiedand
Messaging
Actionablefor IoT

Insights for IoT

Delivered as an open, infrastructure-agnostic platform, the OpenText Internet ofThings’ Ecosystem Integration solution provides the messaging and orchestrationneeded for transporting IoT-sourced data and integrating it across devices andsystems. This eliminates the complexity of creating and syndicating integrations formachine-to-machine, machine-to-people or machine-to-application scenarios.

Ingests and publishes data to and from third-party datastores and enterprise systems

Integrate and deliver
seamless information flow
across industrial
enterprise systems

The Ecosystem Integration solution standardizes how data is identified andrepresented, ensuring that the highest level of security and integrity can be
maintained at scale. OpenText Internet of Things was purpose-built with security andan identity-centric
approach
to deliver reliability,
massiveand operational
Aggregate
information
fromLeverage
AI/MLscalability
to monitor
agility. Throughthis Platform-as-a-Serviceand Ecosystem
disparatesystems
to obtain
performanceandIntegration,
maximizethe enterprise
canor partner led development
innovate quickly in thea easily
singleenable
data internal
feed foravailability andof serviceable
application
layer.
analysis or archive

Extends IoT-sourced data

equipment/assets

Performs rapid, secure and flexible integration of data. This eliminates the costand complexity of changing document types, data formats, protocols or creating
and syndicating integrations for machine-to-machine and application-to-application
scenarios. Through its identity-centric approach to Secure Device Management,
it creates composite applications and manages provisioning, authentication andauthorization for nearly all system integration demands. The platform can createcustomized business logic based on events, process sequences or analytic
thresholds to deliver notifications or to make other informed actions.

Visualize complex composite digital twins which are modeled as ecosystems in theIoT Platform. Provides intuitive visual organization of complex interrelationships
enabling the design, modeling and management of large complex ecosystems.

Ecosystem Integration for the Internet of Things

2/5

Harnesses the power of the digital twin
A digital twin is a digital representation that mirrors a unique physical object's
characteristics and state and is one of the best examples of truly harnessing thepower of IoT. Forbes states that Industry 4.0 needs digital twins to push it forward.2The demand is exploding as practical applications grow. Enabling process oroperation simulations or analyzing device or machine data for actionable insights
requires extending data beyond the operating technology that creates the digital
twin. Ecosystem Integration provides a seamless and secure path for digital twin
data to interact with enterprise applications.

An identity-centric platform, designed with security
for scalability and integration
OpenText’s identity-centric approach to IoT is what makes its Internet of Things
unique and ready for integration with enterprise applications. The platform includes
advanced, out-of-the-box Identity and Access Management functionality, which
would otherwise have to be built from scratch, consuming development time andtaxing already strained IT budgets. This approach is realized through relationship andlifecycle management. Register, authenticate and authorize all interactions acrossthe entire lifecycle of people, systems and things. The ability to manage the identityof a device, sensor or machine throughout its lifecycle is critical to security acrossthe entire ecosystem. Managing the relationship that an IoT data source or operator
has with anyone or anything that it interacts with is what makes this platform uniquelycapable to handle IoT initiatives requiring the highest level of security.

The Identity of Things Explained
Identity of Things (IDoT) assigns unique identifiers and metadata to things,
devices and objects.
Get the Identity of Things Explained guide to learn about the identity problem with IoT
and how a strong IDoT foundation identifies and manages IoT connections to solve it.
The Identity of Things (IDoT) extends traditional identity and access management(IAM) for the internet era. It identifies all IoT infrastructure components to ensure
secure connectivity and data trust from IoT devices.
The guide introduces IDoT and reveals how to add identity to IoT with chapters on:• The core capabilities of an identity-driven IoT platform• The Top 10 tips to consider when deploying identity management in IoT• Selecting the right provider for IDoT
Get the guide today

2. Marr, Bernard. Forbes, What is Industry 4.0?, September 2018.

Ecosystem Integration for the Internet of Things

3/5

Embracing and extending business applications through an identity-centric
approach provisioning people, systems and things

Secure Device
Management for IoT

Ecosystem
Integration for IoT

Prevent cyber security
threats across different
industries by securely
provisioning devices

Unified Messagingfor IoT

Integrate and deliver
seamless information flow
across industrial
enterprise systems

Aggregate information fromdisparate systems to obtaina single data feed foranalysis or archive

Actionable
Insights for IoT

Leverage AI/ML to monitor
performance and maximize
availability of serviceable
equipment/assets

In addition to Ecosystem Integration for IoT, the OpenText IoT Platform can also deliver Secure Device Management, Unified
Messaging and Actionable Insights

Enterprise

RESTful APIs to microservices

User store
User store
User store

Authentication
and authorization

Protocolbrokering

Audit andtracking

Encryption/
decryption

Queuing andchanneling

MessagestorageERP
Data
sourceThing
CRM

Enterprise

User store
User store
User store
ERP
Data
sourceThing

Rules andorchestration

Data parsing

Routingand delivery

CMS

CMS
Collaboration
ESB

CRM

EventsData duplicationand splitting

Notifications

Collaboration
ESB

The above diagram highlights a simple enterprise integration use case and sample capabilities. Once the integration endpoint is set up,
customers can manage integrations and track messages and failures.

Ecosystem Integration for the Internet of Things

4/5

Ecosystem Integration components
Messaging and orchestration services offers a robust and scalable way to manage enterprise integrations:Enterprise adapters

Ingests and publishes data to and from third-party data stores and enterprisesystems and integrates with third-party web services

Pub-sub engine

Realtime messaging service for publishing and subscribing to events, as well as
exchanging messages

Trading partner management

Configures and manages collaborating entities, with the ability to logicallyseparate message traffc and establish messaging privilegesFile management

Manage files with SCOUT for agent-based file transfers with external sites, APIbased file transfers, Messaging Hub (up to 10 MB) and Enterprise Message Bus(for EDI files)

Audit and traceability

View messages, metadata, routing and control information, before and aftertransformations, command acknowledgements, detailed timestamps for allprocessing steps and trace failed messages

Monitoring, metering and throttling

Configure failure monitoring, with policies based on message type and priority

Ecosystem Integration componentsSynchronize and consolidate information across applications and sources:
Event source hub

Pub-sub model for app-to-app data synchronization, where a change triggers anevent and subscribers receive the latest data

Authorization policy framework

This security layer acts as the gatekeeper for access to protected resources

Provisioning

Syndicates user, application and device profiles, as well as authorizations acrossthe digital ecosystem

Composite service creation

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

API security and syndication

Allows enterprises to create and manage APIs once and then syndicates theminto various internal and external developer communities, each with their own
branding, licensing, security and other localized attributes

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