AgensGraph Use case # 3.
Smart Factory + Graph Database
The importance of ‘Data’ is growing further with the 4th Industrial Revolution. Smart Factory technology is spreading for industrial automation, which is drawing attention as the core industry of the 4th industrial revolution and as a new growth engine to enhance the competitiveness of the manufacturing industry.
With the introduction of Smart Factory, manufactures have collected and analyzed various data using network or sensor devices instead of personnel assigned in each line, building an automatic production system.
Through the optimization of production process to meet the changing environment, manufacturers flexibly run detailed processing facilities and thus can strengthen the competitiveness of the manufacturing industry.
As smart factory spreads, manufacturers are devising how to process a huge amount of data pouring out from devices. Companies’ needs are also expanding to manage ‘Data Lineage’, on how the processing data is created, what process they go through, and on what results they influence.
Then, what solution must be adopted to solve
such needs and generate substantial business value?
Graph Database is the solution to this !
It can collect all kinds of data generated from the numerous IoT sensors of manufacturing sites in real-time, achieve ‘high processing efficiency’ through data analysis needed for decision-making, and draw actual business value.
In other words, to build and operate smart factory properly, it is important to know what kind of values can be generated through data classification and analysis rather than merely accumulating big data.
With AgensGraph changing the fundamental technology in the way that data is collected, stored, and processed, customers of AgensGraph use highly innovative services.
⇒ ‘Big data analytics’ is the core technology for the smart factory.
Adopting the AgensGraph solution enables the analysis of huge data in a fast manufacturing speed as well as viewing and using a large amount of data. Through the data-based decision-making and the analysis of ‘relationship’ among data, processing problems in production sites can be identified and dealt with in advance.
In addition, this solution allows the collection of ‘structured’ and ‘unstructured’ data generated from outside the process as well as a higher-dimensional analysis beyond process data-centered analysis.
Thus, AgensGraph effectively integrates and manages data from disparate and disparate sources, which provides the business value of lowering costs and improving productivity to customers and helps them find the best solutions.