Critical Infrastructure & Built Environment.
We are building.
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:
Building management systems (BMS)
Operational technology (OT) systems
Internet of Things (IoT) devices
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.
Complexity grows.
Critical Infrastructure & Built Environment
Re-think data.
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Cost of a Universal Data Model
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.
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.
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Cost of Data Integrations
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.
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.
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Cost of Breaking Down Data Silos
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.
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.
Our data apps.
Create an intelligent data network that captures asset interconnections and linkages right within the data fabric itself. Represent physical interconnections of building assets, systems, and networks in a digital fabric. Create smart events, alerts, triggers, process flows, and analytics all from easy to use web-based data apps. Create a true intelligent interactive building for safety, security, energy management, emergency response, control, and more.
Integrate for the very last time and harness the 70% data never used.
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Centralized data integration layer.
Integration from multiple sources: databases, data warehouses, cloud storage, API, and more.
Copyless integration.
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Map & transform data from different formats and schemas.
Mapping and transformation of data between new and old data models seamlessly.
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Common semantic model and leverage domain ontologies for universal data model.
Change schema without breaking application code.
Handle schema modification via data virtualization.
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Data browser to search data network.
Expand and collapse data set relationships.
Ease of data exploration whilst visualizing data governance attributes.
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Data lineage tracking, data masking, controls, security built in.
Create enterprise wide smart contracts to deploy in data fabric.
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Store and structure data for rapid application development and use cases.
Encode real-world flows and interactions between physical assets (systems, networks, components).
Use cases.
Energy efficiency and management: According to a study by the U.S. Department of Energy, smart buildings can save an average of 20% on energy costs. A study by the Smart Buildings Alliance found that smart buildings can save an average of 30% on energy costs.
Security and safety: A study by the National Institute of Standards and Technology found that smart buildings can reduce the risk of security incidents by up to 70%. A study by the Ponemon Institute found that smart buildings can reduce the cost of security incidents by up to 80%.
Comfort and convenience: A study by the University of California, Berkeley found that smart buildings can improve productivity by up to 10%. A study by the Harvard Business Review found that smart buildings can reduce absenteeism rates by up to 20%.
Operational efficiency: A study by the International Facility Management Association found that smart buildings can reduce maintenance costs by up to 30%. A study by the Aberdeen Group found that smart buildings can reduce inventory levels by up to 20%.
Sustainability: A study by the World Green Building Council found that smart buildings can reduce their energy consumption by up to 50%. A study by the Environmental Protection Agency found that smart buildings can reduce their water usage by up to 30%.
Leverage our prototyping and incubation hub to quickly create dashboards and visualizations.
