AI assists in formulating the most effective production and material planning to respond to rapid market and production line changes
Through the intelligent dispatch scheduling system, the manufacturing industry can quickly respond to market changes, improve efficiency, deliver on time, and move towards the transformation of smart factories
Combining automation and feedback systems to master the real-time operation and intelligent management of factories
Integrate warehouse management, inbound and outbound operations, and barcode automation to optimize inventory shipment costs and efficiency
Accurately monitor process variation, protect yield stability, and manufacturing quality
Complies with international regulations to ensure product safety, quality stability, record integrity, and quality defect tracking report processing requirements
Deconstruct the data value chain and trace the manufacturing process and data source
Master the key data of manufacturing execution, quickly query and visualize analysis in one go
The Intelligent Data Platform empowers AI and GenAI to accelerate transformation and drive innovative decision-making applications
The data convergence middle platform integrates enterprise data assets to improve operational efficiency and cross-domain insight capabilities
Empowering Enterprises from AI Strategy to Full Deployment – Mastering the Rhythm of Digital Transformation
Five core works and steps of a generative AI service to help enterprises develop applications
From data integration and conversion to visual output, help enterprises get rid of complicated manual operations and realize digital reports and intelligent decision-making processes
Forecast future demand trends for products or services, helping businesses plan ahead and reduce risks
Help you improve business performance and solve the core propositions of "efficiency" and "return"
AAT launches popular training courses that are highly praised
AAT and the Republic of China Computer Education Development Association jointly promote the "Business Data Analyst" certification
Advant Analytics Tactics Ltd. (AAT) and the Republic of China Computer Education Development Association jointly promote the "Business Data Mining Science Analyst" certification
Integrate data, provide AI analysis and visualization, improve decision-making efficiency, and ensure security
Generative AI data platform supports multiple models, efficient data management, and governance
Visual data mining, no programming required, supports predictive modeling and text analysis, and simplifies complex data processing
Powerful statistical analysis tools support data visualization and modeling, simplify complex data processing and decision-making
No coding required, combining open source and enterprise tools to provide intuitive data analysis, AI modeling, and cross-team collaboration solutions
Free open-source visual workflow, no coding required, supports data integration, machine learning, and AI analysis
Enterprise-level platform, supports collaboration, automation, and governance, strengthens data science deployment, and team sharing
Integrate IBM SPSS Statistics, provide data analysis and visual reports, support automated BI and decision-making
Based on IBM SPSS Modeler, supports enterprise-level data mining, integrates AI and predictive analysis
Intelligent survey platform, supports multi-technology questionnaire design and data analysis, generates dynamic reports
Integrate AI and BI, no coding required, provide real-time insights, automated workflows, and cross-cloud deployment, help enterprise decision-making
Self-service BI supports big data analysis, visual operations, and rapid insights, suitable for all employees
Excel-like design, fast creation of complex reports, support for visualization, and mobile terminal viewing
ETL and API integration, fast access to heterogeneous data, and solving data island problems
is to break the IT system data barrier
The data generated in business activities is scattered among different users and their systems. Whether it involves ERP, MES, CRM, or general Excel files, integrating data across systems is a significant project, regardless of the enterprise’s size. Suppose it is not based on IT-customized systems. In that case, it must be sorted manually, resulting in higher costs for data sharing and circulation, and significantly affecting the efficiency of administrative operations. DVC regards each piece of data as an independent individual and forms a data network through the association between fields and field contents. After importing DVC, customers can use the mouse to trace from the shipping order number to the previous MES production history, ERP raw material inspection, or business orders and payment status, among other details. The user defines the establishment of the entire data network, and the data can be isolated according to permissions, ensuring information security.
When used with iPASP SPC, if an out-of-control event occurs on the control chart, click the red dot on the control chart to start DVC data tracing (right picture). Analyze the cause of quality abnormalities through the data source and destination, and then trace the previous data to retrieve records, such as supplier, customer, business, or quality notifications.
In the past, it was very time-consuming to investigate the batch numbers of downstream processes affected by raw material contamination. This data may be stored in Excel, MES, or ERP systems. When conducting an investigation, various systems must be accessed and other data must be captured to facilitate connections. Ultimately, the tracking may not be completed due to missing data. If the DVC data context (right picture) is activated, enter the raw material number to connect various data scattered across different systems automatically.
The DVC platform proposes an innovative data information and event management (DIEM) architecture. Under the DIEM framework, all data entering DVC will be subject to supervision. Through machine learning, abnormal data behavior will be handled according to predetermined rules.
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Help you improve business performance and solve the core propositions of “efficiency” and “return”
AAT and the Republic of China Computer Education Development Association jointly promote the “Business Data Analyst” certification
Advant Analytics Tactics Ltd. (AAT) and the Republic of China Computer Education Development Association jointly promote the “Business Data Mining Science Analyst” certification
