Reading guide in this issue
In the post-epidemic era, more and more manufacturing enterprises have realized that digital transformation has not only brought improvements to their vital interests, but also become the key to whether manufacturing enterprises can win at the starting line. Data is the lifeblood of the industrial Internet and has become a key production factor for the success or failure of digital transformation. In the digital age, time is cost. Either master the key elements and become a disruptor before anyone else. Either they are backward and beaten, and they are silently abandoned by the times.
01. Break the data silo to dig deep into the value of data
With the advent of the digital transformation 2.0 era and the blooming of lighthouse factories everywhere, the value of data has changed from just the input and output of processes to directly drive the operation, production and management of enterprises. As an important element of production management, data is an important starting point for the manufacturing industry to achieve flexible production, reduce production costs, and improve the efficiency of production lines. Harnessing the power of data, a key productivity, is a necessary step to fully realize the interconnected and intelligent operation of the factory.
With the in-depth development of intelligent manufacturing, many manufacturing enterprises have taken action of informatization and digital interconnection. However, due to the lack of real connectivity in data management software, hardware, collaboration, and processes, massive production and operation data has not been activated, and data islands still exist. The problem of data silos has seriously hindered the management and application of data in digital transformation. In order to make data continue to play its value, it is necessary to drive intelligent manufacturing with data, and the achievement of data sets has become the primary task of breaking data silos and promoting digital transformation.
02. Digital transformation, these pain points cannot be ignored
According to statistics, 70% of the work in the digital transformation of the traditional manufacturing industry is focused on data processing and computing. In general, factory data presents four characteristics: massive data scale, fast data flow, diverse data types, and low value density.
The large-scale and diversified data brings many difficulties to data integration, such as:
● It is difficult to integrate heterogeneous data sources. Factory production and operation involve data from different systems, including collected equipment data, as well as data from various business systems in the process of enterprise information construction, such as ERP, MES, etc. The data integration process needs to extract this data from different applications and platforms, and traditional data integration tools are relatively mature in supporting relational databases, but the integration capabilities for unstructured databases are weak. As a result, many enterprises need to use a variety of solutions to solve the problem of heterogeneous data source integration when opening up heterogeneous data sources.
● The data processing performance for large data volumes cannot keep up. The extraction and processing of big data takes a lot of time, and traditional data integration tools are difficult to analyze these data while processing complex data structures, which can no longer meet the requirements of processing performance. Therefore, it is necessary to solve the problem of data processing performance through more advanced technical means.
● There is still a large gap in IT technology resources in the manufacturing industry, and enterprises are turning to a one-stop low-code data analysis platform. With the accelerated adoption of big data and analytics technologies, the demand for professional data analysis and processing talents in the manufacturing industry is surging, and the lack of data engineers has become a potential challenge to the digital transformation of the big data integration process. Many manufacturing industries have turned to a one-stop big data analysis platform, and low-code integration tools that are easy to use, stable and efficient can make up for the lack of data analysis talents.
03. WISE-DataInsight is a stepping stone for the digital transformation of factories
After introducing Advantech's Industrial Cloud WISE-DataInsight industrial big data analysis & business intelligence platform, it can effectively solve the problems encountered by manufacturing enterprises in data integration. Advantech Industrial Cloud WISE-DataInsight is committed to providing one-stop industrial big data services for manufacturing enterprises, helping them open the door to digital transformation, tap the value of data, and drive decision-making with data.
Advantech's WISE-DataInsight industrial big data analysis & business intelligence platform is a low-code, easy-to-use data integration and analysis tool that provides data management, data integration, ETL, data computing, data storage, business intelligence and other functions. WISE-DataInsight expands the data access and integration capabilities of Advantech's WISE-PaaS industrial Internet platform, which is no longer limited to the collection and storage of equipment data, but also supports the access of various IT data, promoting the full interconnection of factories. WISE-DataInsight not only supports commonly used SQL databases, but also supports NoSQL databases (MongoDB, InfluxDB), file and API types, which is very suitable for the current situation of data diversity in industrial fields. In addition, WISE-DataInsight adopts a unified development specification for heterogeneous data sources, which makes the manufacturing industry no longer need to solve the headache of solving the problem of heterogeneous data source integration. WISE-DataInsight adopts the low-code design concept, even if the factory does not have professional IT data analysis personnel, users can quickly get started through manual guidance or simple training. This makes the connection of data easier and faster, and also lowers the threshold for data analysis, making comprehensive data mining easier to execute.
Through WISE-DataInsight, data from various systems can be integrated together, user-centric, and business pain points can be solved with the goal of breaking data silos. Through the data platform, the overall situation is connected, and comprehensive data sharing is provided for enterprises. BI provides data insights, combined with AI artificial intelligence for predictive analysis, to drive the digital transformation of manufacturing enterprises.
In addition, Advantech's WISE-DataInsight adopts the popular cloud-native architecture and distributed computing methods, which greatly shortens the service launch cycle and improves data processing and access speed through parallel computing. Most importantly, compared with traditional big data platforms, Advantech's WISE-DataInsight is very cost-effective, which can lower the threshold for enterprises to use, so that small and medium-sized enterprises can also quickly start the road of digital transformation.
04. Create a smart factory data integration and analysis solution based on WISE-DataInsight
Based on the WISE-DataInsight industrial big data analysis & business intelligence platform, Advantech has carefully built a smart factory data integration and analysis solution, providing factories with a one-stop digital transformation starter package that combines software and hardware. Combined with the WISE-IoTSuite device IoT platform, the vertical connection between the production site and operation management can be realized, helping the manufacturing industry to make global optimal production and operation decisions.
Through this solution, factory managers can instantly understand the production status and operation status, including equipment operation status, product production progress, product quality, inventory, cost, output value, personnel management and other indicators. These data indicators can help managers control the trend of data changes in real time, find key problems in factory manufacturing and operation management, and judge and implement relevant measures. At the same time, through the optimization of indicators, continuous improvement, so that the factory product quality is better, the cost is lower, the delivery is faster, and the customer satisfaction is higher.
05. Create an ecological factory with intelligent manufacturing partners
If you need to create a digital transformation solution for your factory, you can quickly customize and deliver a smart factory solution that satisfies customers by choosing Advantech's Industrial Cloud WISE-DataInsight industrial big data analysis & business intelligence platform, which requires only a small number of technical personnel and low R&D resources.
If you are a manufacturer, you can use Advantech's WISE-DataInsight industrial big data analytics & business intelligence platform to drive flexible production, produce better products, shorten delivery cycles, and achieve economies of scale with only a low investment.
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