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
Visual insight, grasp the overall situation
iPASP MII utilizes an enterprise-level BI analysis platform, featuring comprehensive information security and granular permission control, ensuring that critical data is fully protected against unauthorized access or leaks. It supports connections to more than 30 data sources, allowing direct integration regardless of source type. With interactive dashboards, users can quickly generate analysis charts without the need for complex technical configurations.
The system can provide real-time insights into the current order quantity, product or customer type distribution, and production responsibility across factories (production lines). It also enables comparison with previous orders to help monitor the production-sales balance in real time and support decision-making.
The dashboard provides an easy overview of the factory’s overall production capacity and allows focused drill-down into key areas (such as workforce and machines). When workforce, materials, or machines are insufficient, the system can issue early warnings, serving as the basis for optimized capacity allocation strategies and long-term resource investment planning.
By leveraging APS scheduling results, materials can be analyzed in advance, and when combined with ERP inventory data, the timing of material purchases and shortages can be accurately identified. In addition, historical material conditions can be reviewed for comparison, along with turnover rates, substitutes, and supplier performance, enabling comprehensive control over materials and procurement.
Up to 50 dashboard indicator templates and implementation solutions are available. In addition, professional consultants can provide support in data inventory, dashboard analysis, and design, ensuring effective adoption and results.
The transition chart is a management tool that uses time as the horizontal axis and management items as the vertical axis, making it suitable for displaying trends and developments of key indicators over a given period. Before adopting BI, customers relied on manual sorting and calculation to prepare these charts. When accuracy down to the hour and minute was required, manual work became extremely cumbersome. By implementing iPASP MII, ERP/MES production data can be directly consolidated into dashboards, allowing management items to be clearly presented at a glance. By clicking the chart’s [Drill Down] function, users can instantly switch to a data analysis view, where interactive operations enable effective visual management. With the automatic refresh function enabled, the dashboard can immediately serve as a live shop-floor display, and it can also be freely shared on tablets or mobile devices (Android/iOS), ensuring users can stay updated on production status anytime, anywhere.
The Industrial Internet of Things (IIoT) is a core technical component of Industry 4.0. With IIoT, data such as equipment parameters, sensor readings, and operating conditions can be collected over time, and by leveraging AI and machine learning, manufacturing technologies and management can be significantly improved. However, many customers, after adopting IIoT, focus only on data collection without performing effective analysis. What is even more challenging is that IIoT data is often scattered across multiple systems, making data format integration difficult. iPASP MII addresses this by first integrating IIoT data and then visualizing the results on dashboards. Furthermore, from cumulative production quantities to specification measurement tolerances, tasks that previously required engineers can now be managed directly through iPASP MII, enabling real-time monitoring and early warnings, and establishing it as a comprehensive integrated platform for IIoT operations.
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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
