Orbyfy’s Fabric+ is the data fabric for the built environment and critical infrastructure. Providing a unified data network, simplified data management, built-in data integration, self-service, centralized data store, security, and federated data governance. Integrated data lifecycle management end-to-end.

1. Copyright Orbyfy
Orbyfy's Fabric+
Orbyfy’s Fabric+ is the data fabric for the built
environment and critical infrastructure.
Providing a unified data network, simplified data
management, built-in data integration, self-
service, centralized data store, security, and
federated data governance. Integrated data
lifecycle management end-to-end.
Harness the 70% of data that you never use.
Connect. Orbyfy.com
Integrate for the last time.
Couple the enterprise with generative AI.
TM
*Actual data fabric visual representation.
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2. Orbyfy's Fabric+
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Complexity Grows
Building management systems (BMS)
Operational technology (OT) systems
Internet of Things (IoT) devices
According to a 2021 report by Gartner, the average number of building management
enterprise systems that require integration across IT, OT, and IoT is 12. This number is
expected to grow to 15 by 2025. The most common types of building management
enterprise systems that require integration are:
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TM
#Facts
The cost of integrating
these systems can range
from $100,000 to
$1 million.
The time it takes to
integrate these systems
can range from 6 months
to 1 year.
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Cost of a Universal Data Model
According to a 2021 report by Gartner, the average
cost of coming to a universal data model is $1
million.
The time it takes to come to a universal data model
can vary depending on the size and complexity of
the organization's data. However, it can typically
take several months or even years.
A data lake can store data in a variety of formats and
structures, which can make it difficult to come to a
universal data model. This can be a costly and time-
consuming process, as it requires organizations to
clean, standardize, and integrate their data.
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TM
Cost of Data Integrations
According to a 2022 report by IDC, the average
cost of integrating a data lake with other systems
is $500,000.
The time it takes to integrate a data lake with other
systems can vary depending on the size and
complexity of the organization's systems.
However, it can typically take several months or
even years.
A data lake can be integrated with a variety of different
systems, but this can be a costly and time-consuming
process. Organizations need to carefully consider their
needs and requirements before integrating their data
lake with other systems.
Cost of Breaking Down Data Silos
According to a 2021 report by McKinsey &
Company, the average cost of breaking down data
silos is $2 million.
The time it takes to break down data silos can vary
depending on the size and complexity of the
organization's data silos. However, it can typically
take several months or even years.
Data silos can be a major challenge for organizations, as
they can prevent them from getting a complete view of
their data. Breaking down data silos can be a costly and
time-consuming process, but it can be a valuable
investment for organizations that want to improve their
data management and decision-making capabilities.
70% data never gets used.
Legacy Approach
*Typical data lake centralization & integration approach.
Point-to-point integrations
Legacy architectures
Lack of governance
No access controls
Security issues
Data siloes & copies
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4. Orbyfy's Fabric+
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TM
A data fabric is a unified architecture that connects all of an organization's data
sources. One of the key features of a data fabric is that it virtualizes information.
Data virtualization works by creating a layer of abstraction between the user and
the underlying data sources. This layer of abstraction is called a virtual data layer.
The virtual data layer presents a unified view of the data from all of the underlying
sources. This makes it easier for users to access and analyze the data, as they do
not need to worry about the physical location or format of the data.The data fabric
also persists information.
2D to 3D data
Intelligent data management
Data becomes
intelligent and
goes from 2D data
stored in rows and
columns to a
connected and
contextualized 3D
data network.
*Data virtualization and persistence in an abstraction layer.
Data management
coupled with rules
engine, functions,
conditional logic,
access, controls,
security in-built
into the cellular
data level.
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5. 2D to 3D data
Build & Deploy Apps Rapidly
Orbyfy's Fabric+
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TM
Data becomes
intelligent and
goes from 2D data
stored in rows and
columns to a
connected and
contextualized 3D
data network.
Data management
coupled with rules
engine, functions,
conditional logic,
access, controls,
security in-built
into the cellular
data level.
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6. Orbyfy's Fabric+
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TM
A data fabric provides a unified view of the data, it can reduce the need for multiple data management tools. For
example, an organization might no longer need to use a separate data integration tool, a data quality tool, and a
data governance tool. Instead, all of these functions could be handled by the data fabric.
According to a 2021 report by Gartner, organizations that use a data fabric can reduce the number of data
management tools by an average of 30%. This can save organizations time and money, as they no longer need to
purchase and maintain multiple tools.
Universal data
model
Networked
data
Orbyfy Fabric+
Data apps to make not only manage data,
but create Functions-as-a-Service (FaaS),
interconnected conditional logic flows
based on data triggers, rules-engines,
create pseudo-blockchain based smart
contracts, and more.
Federated
governance,
access, controls
No code data
connectors
Schema
evolution
Universal
asset models
Blockchain
smart contracts
Low-code
app dev
Conditional
logic triggers
Rules engine &
functions
Data flows
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Rules based events
Function
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Flexible schema
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Condtional r
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7. Copyright Orbyfy
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Orbyfy's Fabric+
TM
Data Harmonization & Metadata Management
Map & transform data from different formats and
schemas.
Mapping and transformation of data between new and
old data models seamlessly.
Semantics & Ontologies Visualization
Common semantic model and leverage domain
ontologies for universal data model.
Change schema without breaking application code.
Handle schema modification via data virtualization.
Data Cataloging & Discovery
Data browser to search data network.
Expand and collapse data set relationships.
Ease of data exploration whilst visualizing data
governance attributes.
Data apps
No-Code Data Integration Dashboard
Centralized data integration layer
Integration from multiple sources: databases, data
warehouses, cloud storage, API, and more.
Copyless integration.
Pseudo-Blockchain based Smart Contracts
Data lineage tracking, data masking, controls,
security built in.
Create enterprise wide smart contracts to deploy in
data fabric.
Data-Driven Real-World "Asset" Network
Store and structure data for rapid application
development and use cases.
Encode real-world flows and interactions between
physical assets (systems, networks, components).
Let's begin.
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8. Universal
Asset Models
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Orbyfy's Fabric+
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TM
Universal Data
Model
Networked
Data
Federated Governance
Acces, & Controls
No Code Data
Connectors
Schema
Evolution
Blockchain
Smart Contracts
Low Code
App Dev
*Actual data fabric visual representation.
2D to 3D data
Intelligent data management
Data Point A
Data Point B
Data Point A + B easily
consumed by application
A
B
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9. Orbyfy's Fabric+ Row
Column
Data = (x, y) Data = (x, y, z)
Dimension 1
Dimension 2
Dimension 3
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Orbyfy’s Fabric+ helps users across the built
environment and critical infrastructure create the
most life-like connected data network to solve
data challenges for the last time. We do this by
transforming rows and columns of data, to
networks of data. Transforming 2D data to 3D
connected data. Find out more. Connect.
Connect. Orbyfy.com
Harness the 70% of data that
you never use.
Integrate for the
last time.
Couple the enterprise with
generative AI.
TM
Enterprise
Asset Management
Customer
Relationship Management
Enterprise Resource
Planning
Performance
Management System
Project Management
System
Sales Reporting
System
Warehouse Management
System
2D to 3D data
Building Management
System
Enterprise IoT
*Actual data fabric visual representation.
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