Introduction
Data is the key currency with which all businesses are operating in the current economic climate. However, data needs to be collected from various sources. Also, it is available in different formats. Such an eclectic collection of data may not be of much use for data analytics unless the data is first integrated. Data integration technologies combine data obtained from different sources such as sensors, field devices, and other IoT industrial devices and present them in a unified format. Data integration not only enhances the quality of the data obtained, but also makes data migration and data transformation more effective. This process compares different data formats, removes duplicates, cleans data based on preset conditions and transforms data to a predetermined format.
We use the following technologies in our data integration services/solutions

OPC

Industry Protocols

Device integration
Why Data Connectivity Solutions are Required for Industries?
- Allow you to capture data from different sources and in different formats
- Build a unified database that enhances the value of the data
- Data connectivity also enhances security and safety
- Ensure compliance in the production process
- Improve productivity and quality
- Allow better collaboration between teams or stakeholders
- Gain reliable data insights faster through high-quality and consistent data
- Reduce data complexity and make it accessible to all the stakeholders
- Provide the right data to the right stakeholder at the right time
- Help stakeholders make informed decisions
- Give you the edge to stay ahead of competitors
OEMs and system integrators can leverage OPC and Device Integration technologies to enable seamless data connectivity and data integration between the plant floor and the enterprise applications. A vital outcome of data connectivity and data integration is real-time access to the hidden and timely insights on the industrial processes. It is a step in the right direction towards industrial automation to identify weak links in the product process
Data Integration Services Provided by Utthunga
The services that we offer include:
- Real-time data collection from the OT layer the enterprise and cloud layers above.
- Ensure compliance to regulatory and industry standards.
- Automate process to optimize product quality and accuracy.
- Performing edge-analytics and edge-processing on the captured data.
- Use data to enhance safety in the production process.
- Identify possible security threats and improve information security.
Why Utthunga for Data Integration Solution?
Utthunga is an a Product Engineering and Industrial Solutions Company that focuses on providing intelligent automation solutions for companies based on their business process and model. We have been delivering reliable technological solutions for clients for the last 12 years. Utthunga offers data connectivity solutions that allow users to manage software applications and operate devices using data integration solutions. We use industry protocols such as Profibus, Ethernet/IP, FF, HART, several others and even custom protocols to ensure data transfer is encrypted, authenticated, and secure.
We blend our deep understanding of Automation/Operations technologies and ready to use frameworks to provide end-to-end software solutions to run Operations & Maintenance effectively and efficiently. Stakeholders can leverage our products & IP to deliver mix of solutions and services:
- Industry Protocol stacks – HART, Modbus TCP, IO Link, MTConnect, EtherNet/IP
- uOPC Suite
- IIoT accelerators – Javelin, uConnect
- DPI framework
- Simulation framework
- Collect data from different sources and in different formats
- Build a scalable IIoT architecture
- Make informed decision based on reliable data
To know more in detail about our data integration services and how we can customize it according to your business goals, contact us.
FAQs
1. What is Data Integration Service?
2. Why is Data Integration important?
3. What are Data Integration techniques?
- Manual data integration
- Data virtualization integration
- Middleware data integration
- Application-based integration