Industrial Big Data Analysis System
Application: By using AI (machine learning, deep learning, etc.), big data (Hadoop systems, Spark, SQL, etc.), cloud computing, IOT, and other advanced analytical frameworks, technologies and tools (e.g. Python, R, TensorFlow, PyTorch, Tableau, etc.)to analyze and solve complex data science and business problems(Such as intelligent detection and analysis, prediction, recommendation, natural language processing, image recognition, supply chain management, marketing and operations analysis, system optimization, etc.)to help customers achieve digital and intelligent transformation, improve business performance and explore new business opportunities

Product features



– Friendly user interface

– Real-time and batch data analysis and processing

– Successfully implemented in multiple industrial  scenarios

– Support structured, semi-structured and unstructured data access

– Standardized data integration scheme, data Lake -> Data Warehouse -> Data Mart


Advantage effect




ETL tool to integrate enterprise data and break the information island





Low code modeling platform provides drag & drop and convenient modeling tools






Big data BI display




Cases


 ※ A international leading pan-semiconductor enterprise case



• Business challenges:

1. Data silo

2. Lack of talent for big data management

3. Weak data reuse capability




• Effect of solution:






• Integrate enterprise information data and break information silos

1. Integrate enterprise information data and break information silos

2. Improve data quality and change traditional data structure

3. Provide 5 + scenario applications to help production

4. Whole-process data governance, in-depth mining, give full play to the maximum value of enterprise data

5. The industrial big data process system has been established



Advantage effect




ETL tool to integrate enterprise data and break the information island





Low code modeling platform provides drag & drop and convenient modeling tools






Big data BI display




Cases


 ※ A international leading pan-semiconductor enterprise case



• Business challenges:

1. Data silo

2. Lack of talent for big data management

3. Weak data reuse capability




• Effect of solution:






• Integrate enterprise information data and break information silos

1. Integrate enterprise information data and break information silos

2. Improve data quality and change traditional data structure

3. Provide 5 + scenario applications to help production

4. Whole-process data governance, in-depth mining, give full play to the maximum value of enterprise data

5. The industrial big data process system has been established



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