Data Standardization- Importance & Benefits in Manufacturing

Making better business decisions requires a complete view of customers, data standardization is essential for businesses to assist drive these decisions.

Data standardization modifies the huge amount of incoming data into a standard format. This process is utilized to assure that internal data is compatible, each data type requires to have the same content and format for it be considered standardized data, making them simpler to track and monitor.

The goal of standardizing data efficiently is to automate the process of collecting various data sources and autonomously modifying them into one usual model via an edge device from which people and systems can utilize the data for analysis and actionability.

With data mapping software on the edge device, the data is first monitored to a common model, and then can be transferred to the cloud for further analysis.

Once standardized, data can be restored in data warehouses, the cloud or other databases. These standardization processes assist users at the factory and shop floor level, as well as other business-related departments such as supply chain and operations.

The need for data standardization:

As digital manufacturing technologies multiplied, and as their several abilities expand, there’s a clear requirement for machines and sensors to be able to communicate with each other.

On the logistical side, they also require the capability to utilize digitization to optimize input delivery schedules, maintain production rate, conduct root cause analyses and optimize processes.

The emergence of Industry 4.0 and IIoT meant connecting manufacturing equipment across an organization. The power of the data gathered has proven to be high value for production analyzing, process improvement, and unlocking hidden abilities in the connected factory.

It also delivers more active and responsive supply chains, and increases predicting and purchasing.

This standardization is a natural consequence of Industry 4.0 because the tools and applications that are considered to use this IoT data are not likely to be able to consume or utilize the data if it is not standardized into a common model. This is why solutions like KNEO MAPP (Monitor Analyze Plant Performance ) are integral to a connected manufacturing environment.

ADvantages OF DATA STANDARDIZATION

Precise, Standardized, and consistent data introduce several essential benefits to companies and industries that depend on it to yield better results.

Decreased Labor cost

With data standardization and real time analytics insights, industries now have the power to outline custom reporting and analysis to fulfill their requirements without a team of data analysts. This also assures that resources are utilized as efficiently as possible.

Improve Real-Time Data Visibility

Standardized data gives manufacturing industries an improved level of visibility into their shop floor operations. Users can easily track and visualize performance, concerns, trends, and insights all in real-time.

Predictive Maintenance actions

Data standardization can provide insights to the maintenance team. This will simply report the right person when equipment goes down, or develop a usage-based maintenance program for assuring that equipment is maintained at the optimum time. This developed actionable insights that also transferred to other teams.

Improved profitability

Profitability is considerably higher with standardized data as it can assist to unlock capability, driving process improvement, lower maintenance costs, and more.

Learn how KNEO Automation could increase your manufacturing efficiency and profitability? Click here to contact us.

Mrs. Shinde Seo and Digital Marketing Kneo Automation Pvt Ltd