How Data Integration Can Create Effective Roadmap Towards Industry 4.0

By Author: Rishinayak
Total Articles: 2
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How Data Integration Can Create Effective Roadmap towards Industry 4.0
Data integration forms the information backbone of Industry 4.0. More and more businesses integrate data from multiple heterogeneous systems to make their operations more straightforward and cheaper.
Businesses that fail to understand its importance won’t survive in this fiercely competitive market. Without a data flow pipeline, your business will struggle to visualize or extract insights from data the machines are generating.
Thus, data integration needs to be executed to the dot for a successful digital transformation.
Data Integration for Industry Automation
Big data is a gold mine for industries as you can extract many valuable insights and information from it. Manufacturing sectors are banking on Big Data for improving efficiency and reducing costs. Industry 4.0 holds the capability to unlock the potential Big Data holds for industries.
One of the critical aspects of Industry 4.0 is data integration. As the word is self-explanatory, it points to combining data from multiple sources into a structured and consumable ...
... format.
Data collected from multiple sources must be processed and converted into a structured format. Else, extracting actionable insights from data will become problematic. Thus, organizations are looking for data migration services to work with their ecosystem and databases.
The current ecosystems in manufacturing industries are designed on older technologies. Therefore, combining and sharing data in these ecosystems isn’t smooth. Thus, the concept of data integration services is the top priority for manufacturing industries.
Why Data Integration is a Key driver for Industry 4.0
We have established that data integration is critical to the successful implementation of Industry 4.0 in manufacturing industries. Let’s look at the benefits it brings in:
Data automation
Data integration automates many backend processes like connecting heterogeneous databases, data sharing, data formatting, data synchronization, etc. In addition, the real-time integration helps the manufacturing industries to consume the structured data directly.
Creating data visualization and analytics pipelines becomes easy and super fast. As a result, industries can focus on making data-driven decisions critical to growing the business.
Data security and privacy
Cloud migration is critical to managing Big Data. The data is stored in the cloud rather than on-site at the factory. Vertical integration is possible in Industry 4.0 because of its cloud computing capabilities.
The cloud solutions providers like Microsoft Azure, AWS, etc., follow strict security and privacy guidelines. Thus, the data remains safe, secure, and can be accessed 24X7.
Improved productivity
With data integration, all the systems in the industry’s ecosystem work in sync. Information or data is available 24X7 with zero to no downtime. Since the data is structured and easy to manipulate, finding patterns becomes easy.
The teams can focus on completing business goals instead of wasting time in data collection. As time is saved, human productivity and machine efficiency increase.
Cross-functional collaboration
If Industry 4.0 is appropriately integrated with an industry’s ecosystem, the historical data is available to engineers. In addition, this data can be merged with real-world testing data coming from labs or customers.
The dataset becomes richer in data and refining future products or manufacturing processes.
Production flexibility
Industries can customize business models and production strategies with structured data in place. As a result, extracting new market opportunities and monitoring market trends will become easy.
Thus, manufacturing industries will be able to deliver on customer expectations.
Production Adaptability
With data being available 24X7, the unplanned downtime reduces. As a result, it becomes easy for industries to adapt to changes that happen in the digital world.
Thus, the manufacturing operations become more resilient and robust to change.
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Improved customer service
With data trends at hand, the engineering and marketing teams in industries can respond faster to market trends and customer demands. Likewise, with real-time data, the customer service team will provide updates, solutions, and assurances to customers.
Better market agility
The insights generated from real-time data can help executives make data-driven decisions per market and business conditions.
Thus, the leadership can keep the business competitive, risk-free and take advantage of any new opportunity to expand the customer base.
Empowers Innovation
Data flow in Industry 4.0 can also be used to implement changes, optimize the process, and visualize new results.
With automation of industrial setup, sharing updated technologies and designs across facilities is much easier. This speeds up the product design and development process. In addition, scaling the changes across other manufacturing shops is straightforward.
Improves OEE
OEE (overall equipment effectiveness) measures manufacturing production’s capability. With automation in place with data integration, machine efficiency and performance increase.
Wrapping Up
Data integration is an integral part of Industry 4.0. Without a good data architecture design, Industry 4.0 won’t have any measurable impact on business goals.
Utthunga is an industrial-grade digital solutions consulting company with a team of highly skilled and experienced people. Being in the business for more than a decade, the team at utthunga has designed a unique set of Industrial Data Acquisition Products that are also customizable.
If your business is looking for digital solutions for your manufacturing unit, feel free to reach out to our team at Utthunga. https://utthunga.com/product-engineering/quality-engineering/test-automation/