iTAC.Asset.Analyzer – Manufacturing Analytics for maximum transparency in production
Understand production data, reduce downtime, improve performance
As part of the iTAC.MA.Suite, the iTAC.Asset.Analyzer helps manufacturing companies implement Manufacturing Analytics quickly and effectively. Manufacturing Analytics creates transparency across production data and turns it into a solid foundation for informed decision-making on the shop floor. Companies can monitor, analyze, and continuously optimize machines, processes, and entire plants in real time. In the smart factory, the quality of data determines how quickly teams can gain insights, detect deviations, and make informed decisions. The iTAC.Asset.Analyzer brings Manufacturing Analytics exactly where it is needed: into a centralized dashboard that combines real-time monitoring with historical analysis for machines, production lines, and plants, without lengthy integration projects or complex analytics setups. The result: fast time-to-value, comprehensive data collection, systematic performance evaluation, and better decisions based on reliable, high-quality data.
Key benefits of the iTAC.Asset.Analyzer for Manufacturing Analytics at a glance
Maximum transparency with KPIs, history and forecasts
A centralized analytics dashboard combines historical data, real-time KPIs, and predictive insights, providing visibility from individual assets to the entire factory.
Fast to deploy without retrofit or production downtime
Data connectivity and commissioning are completed quickly through remote setup, without production interruptions, retrofits, complex IT projects, or disruptions to ongoing operations.
One central data foundation instead of data silos
Machine and process data are automatically consolidated and contextualized, creating a single source of truth for the shop floor.
Ready-to-use analytics and reporting from day one
Dashboards, analytics, and reports are available immediately after the first machine is connected, delivering real-time insights into availability, performance, and quality.
Early warning system for proactive intervention
Automatic alerts for deviations reduce response times and help prevent issues before they escalate.
Higher efficiency through historical and real-time KPIs
Continuous performance improvement across production lines, departments, and plants through transparent KPI monitoring and analysis
Increased productivity through AI with minimal maintenance effortt
AI identifies patterns and predicts anomalies, while the AI-powered Downtime Tracker significantly reduces manual analysis effort.
Scalable and easy-to-integrate Manufacturing Analytics solution
Modular architecture enables seamless integration into existing systems, while workflow connectivity to email, SMS, and Microsoft Teams helps trigger actions directly.
Product Sheet – iTAC.Asset.Analyzer
Gain more in-depth knowledge and learn more about the technical features of the iTAC.Asset.Analyzer in our product sheets.
What is the iTAC.Asset.Analyzer?
The iTAC.Asset.Analyzer is an operational analytics solution within the iTAC.MA.Suite that creates transparency across production assets and processes, making them measurable, comparable, and controllable. Machine and process data are consolidated within a unified analytics framework and can be deployed either as a standalone solution or seamlessly integrated into existing system landscapes.
The iTAC.Asset.Analyzer combines operational Manufacturing Analytics with Data Science methodologies, making complex correlations easy to understand and actionable in day-to-day production environments.
Through a centralized dashboard, the iTAC.Asset.Analyzer provides real-time data, historical analyses, and meaningful KPIs, ranging from individual assets to entire production plants. Manufacturers can identify deviations at an early stage, monitor performance, quality, and availability, and make informed, data-driven decisions. Integrated real-time monitoring enables teams to detect abnormalities immediately and initiate corrective actions without delay.
As a result, the iTAC.Asset.Analyzer forms the foundation for Smart Manufacturing, continuous operational improvement, and the gradual expansion of advanced analytics and AI capabilities. It is a key building block for modern manufacturing environments where data-driven decisions are made directly on the shop floor.
Definition iTAC.Asset.Analyzer
iTAC.Asset.Analyzer is an operational analytics solution for the centralized analysis of machine and process data, providing real-time transparency and enabling data-driven improvements in manufacturing.
Quick and easy Manufacturing Analytics: fast connectivity, immediate transparency, minimal integration
The iTAC.Asset.Analyzer is specifically designed to deliver rapid results with minimal implementation effort. Instead of requiring lengthy deployment projects, it provides actionable shop floor insights from day one. As a tool for digital transformation, the Asset Analyzer helps manufacturers standardize and optimize processes step by step.
- Fast machine and line connectivity
Quickly connect production equipment from different manufacturers, including heterogeneous brownfield environments, without retrofits or production interruptions. Direct edge connectivity enables machine data to be captured close to the source and analyzed without unnecessary delays. - Immediate transparency instead of custom BI projects
Live dashboards for production, availability, and performance are available out of the box, eliminating the need for custom business intelligence development or specialized data science expertise. - Minimal integration effort, maximum business value
The Asset Analyzer leverages existing data sources and standardized models to put production data into context immediately. Through structured data utilization, production information is transformed from isolated data silos into a strategic business asset. - Fast time-to-value for operational teams
Users gain actionable insights within a very short time and can respond immediately, directly within ongoing production operations.
Manufacturing Analytics vs. MES, SCADA, and BI Tools: what is the difference?
Manufacturing Analytics complements existing systems such as MES, SCADA, and BI tools by adding a data-driven layer for analysis and optimization. While an MES controls and documents production processes, SCADA systems monitor machines and equipment, and BI tools visualize data, Manufacturing Analytics goes a step further. Production data is analyzed holistically to identify correlations, detect anomalies, and uncover optimization potential.
By leveraging KPIs, real-time data, predictive analytics, and AI-powered evaluations, Manufacturing Analytics helps manufacturers continuously improve productivity, quality, and asset availability while enabling informed decision-making in smart manufacturing environments.
Core functions of the iTAC.Asset.Analyzer
Manufacturing Analytics on the shop floor
Live dashboards, historical trends, and KPIs provide transparency across machines and processes. Analytics capabilities range from descriptive and diagnostic to predictive insights, supporting informed decisions during daily operations. Comprehensive production data analysis creates the foundation for transparency, comparability, and sustainable optimization across the entire value chain.
KPI and performance monitoring
Correlation analysis and anomaly detection
The Asset.Analyzer identifies relationships across machines, processes, and production sites. AI-powered analytics detect patterns and anomalies, providing the foundation for root cause analysis and continuous improvement. Integrated data mining automatically uncovers patterns, dependencies, and irregularities in large data sets and makes them actionable for optimization efforts.
Predictive analytics and AI support
AI-powered analytics predict anomalies and potential disruptions at an early stage. The integrated downtime tracker reduces manual analysis efforts and supports proactive production management. Combined with edge computing, analytics functions can be executed efficiently, scalably, and independently of centralized IT infrastructures.
Alerts and smart operations
Fast data connectivity and
live transparency
Integrated downtime tracking
and workflow integration
Who benefits from iTAC.Asset.Analyzer and why?
Are we using our resources efficiently? What are the key causes behind our production losses? Are we planning our resources effectively? How can we improve our equipment and resource utilization?
Our organization does not have enough transparency to benchmark and compare the production performance and efficiencies of different processes, machines, location and departments to enable timely and effective strategic decision-making.
The iTAC.Asset.Analyzer delivers a centralized flexible dashboarding tool for the real-time visualization of production performance across processes, machines, locations and departments.
Why are all my light towers showing green, but I still am not meeting my production targets? Are we knowingly producing parts with a high-scrap cost? Why is my work-in-progress growing? What units are taking so long to complete and why?
Collecting information on the previous days of production is tedious. Our teams spend hours collecting data from individual machines and manually analyzing it. As a result, production management must make decisions without the full picture. We only establish why we lost output after the fact.
The iTAC.Asset.Analyzer provides production management with real-time metrics to monitor the current production performance and quality. This enables them to make pro-active data driven decisions.
Why did our attrition rate suddenly jump? Why does this component register so many false-calls at the AOI? Why does the miss-pick rate vary so much on this machine? Does the peak oven temperature effect my defect rate ? How does the printer squeegee pressure effect my defect rate at different humidity levels?
Our failure analysis is slow and manual, often involving multiple separate teams and data sources. Our engineers spend weeks collecting data and doing analysis to figure out what the root-cause of the current problems are.
The iTAC.Asset.Analyzer provides engineering teams with a complete data traceability, easily combining upstream and downstream sources for a complete digital thread of the production system. It facilitates ease root cause identification through AI-assisted correlations, accelerating any problem-solving task.
How do we update our system for Vendor “A” next week, when they upgrade to the new version? How will this effect all the reporting tools? How do we improve the system to prevent a big outage for the next update? How do we ensure that we do not lose important system data during the scheduled maintenance?
Our current systems to access machine and production data are slow and unreliable. Our IT team has to maintain relationships with each machine vendor for compatibility with future S/W and protocol updates.
The iTAC.Asset.Analyzer provides vendor neutral connectivity, with iTAC managing all relationship with equipment manufactures to ensure a continuous and uninterrupted services. The platform is designed to high uptimes, even when upgrading or updating the system.
Manufacturing Analytics in practice: data analytics with iTAC.Asset.Analyzer in production
In practice, the quick and easy approach becomes particularly evident: instead of relying on isolated KPI reports, production teams gain immediately actionable real-time insights that combine cycle times, quality, and equipment availability in a single view. As a Service Data Analytics solution, the Asset.Analyzer provides operational teams as well as service and maintenance organizations with the data-driven insights required for informed decision-making.
The iTAC.Asset.Analyzer enables a fast entry into Manufacturing Analytics, from initial dashboards to predictive and AI-supported analytics. This allows manufacturers to evolve step by step from basic transparency to true process intelligence without overburdening their existing operational systems. Fideltronik, a leading EMS provider, describes the benefits in practice:
As an EMS provider, real-time transparency is critical to our operations. Since implementing the iTAC.Asset.Analyzer, we have achieved a level of control over our production status that we never had before. We are especially impressed by the speed at which we can connect assets, including non-standard stations such as testing and coating.” - Marcin Wnęk, COO
Fideltronik also highlights the solution's scalability and dashboard flexibility. Even as the number of connected assets increased, system performance remained stable. At the same time, tailored dashboard configurations helped standardize processes, improve cycle times, and reduce unplanned downtime. Read the whole case study here.
- Predictive maintenance: Predictive analytics identifies patterns, reduces unplanned downtime, and supports maintenance planning.
- Quality improvement and scrap reduction: Anomaly detection identifies irregularities in critical processes in real time.
- OEE and performance optimization: Descriptive analytics provides full transparency into cycle times, availability, and quality, enabling decisions based on facts rather than assumptions.
- Cross-Site comparisons: Correlation analyses reveal cause-and-effect relationships across assets and processes while providing reliable documentation.
- Energy efficiency: Continuous analysis of production and machine condition data helps identify energy losses and inefficient operating conditions.
The iTAC.Asset.Analyzer is designed for manufacturing companies that want to analyze production data in real time and continuously optimize their manufacturing processes. Typical application areas include electronics manufacturing (SMT and THT), automotive and supplier industries, e-mobility, medical technology, industrial electronics, aerospace, and EMS providers operating multiple production lines or sites.
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Frequently Asked Questions (FAQs)
Data analytics consists of four methods that together represent the complete analytics value chain and support data-driven decision-making from analysis to optimization.
- Descriptive Analytics shows what happened through KPIs, reports, and dashboards.
- Diagnostic Analytics explains why something happened by analyzing root causes and relationships.
- Predictive Analytics forecasts what is likely to happen based on historical data and analytical models.
- Prescriptive Analytics recommends specific actions and supports decision-makers in selecting the best course of action.
Manufacturing Analytics evaluates a wide range of production data, including machine data, process data, quality data, downtime information, OEE metrics, energy consumption data, and equipment condition data. By combining these information sources, manufacturers gain meaningful insights for production, maintenance, and management.
Manufacturing Analytics provides transparency into the causes of availability, performance, and quality losses. By analyzing downtime, cycle times, scrap rates, and process deviations, manufacturers can implement targeted measures to improve Overall Equipment Effectiveness (OEE) and continuously monitor their impact.
Learn more in our article: OEE's dark little secret
The operational value of manufacturing analytics software in smart manufacturing largely depends on how effectively analytics capabilities are embedded within Manufacturing Execution and MES/MOM environments. This is exactly where the iTAC.Asset.Analyzer delivers value. It brings Manufacturing Analytics directly to the shop floor and enhances Manufacturing Execution with data-driven decision support. The solution provides shop floor transparency across machines, production lines, and plants through a centralized production dashboard that combines real-time analytics, historical evaluations, and descriptive analytics within a consistent view.
Through data blending, machine, process, and contextual data are consolidated into a single information source rather than remaining isolated in data silos. This creates an effective solution for supervisors and maintenance teams, enabling faster responses and informed decisions based on a unified data foundation. At the same time, the Asset.Analyzer supports automation, for example through event-driven alerts and workflow integration. Embedded within a broader digital transformation strategy, it strengthens digital sovereignty by ensuring that data remains standardized, transparent, and accessible across all operational levels.
Manufacturing Analytics is suitable for virtually all manufacturing industries. Typical applications include electronics manufacturing, automotive production, medical technology, E-Mobility, aerospace, industrial electronics, and EMS providers. Wherever machine, process, and quality data are generated, Manufacturing Analytics supports the continuous improvement of production performance.
The iTAC.MA.Suite combines iTAC.SMT.Edge, iTAC.IIoT.Edge, and iTAC.Asset.Analyzer into a comprehensive Manufacturing Analytics portfolio that connects machine integration, real-time and advanced analytics, and operational transparency from the machine level to the entire plant. It includes collecting, processing, and combining data from machines, production lines, and plants, applying advanced analytics methods, and operationalizing insights within day-to-day production processes. Manufacturing Analytics connects technology, processes, and people.
The Asset.Analyzer enables fast deployment without production downtime, user-friendly interfaces, and centralized dashboards. Teams can independently create dashboards, document improvement measures, and verify results through historical analysis. This significantly accelerates successful implementation and user adoption.
Business Intelligence solutions primarily focus on visualizing and evaluating business data. Manufacturing Analytics goes a step further by analyzing production processes in real time. It identifies relationships, root causes of disruptions, and optimization opportunities to support operational decision-making directly on the shop floor. As a result, Manufacturing Analytics not only provides visibility into manufacturing performance but also enables continuous improvement and proactive production management.