Statseeker
Statseeker is a powerful network performance monitor solution. It's fast, scalable, and cost-effective.
Statseeker requires only one server or virtual machine to be up and running in minutes. It can also discover your entire network in under an hour without any significant impact on your bandwidth availability.
It can monitor networks of all sizes, polling upto one million interfaces every sixty second, and collecting network data like SNMP, ping, NetFlow (sFlow, and J-Flow), sylog and trap messages, SDN configuration, and health metrics.
Statseeker performance data are never averaged or rolled up. This eliminates the guesswork when it comes to identifying over- and underestimated infrastructure, root cause analysis, capacity planning, and other tasks.
Statseeker's complete data retention means the in-built analytic engine can accurately detect anomalies in performance and forecast network behaviour months in advance. This allows network admins to plan and perform cost-effective, preventative maintenance, instead of fire-fighting problems as they occur.
Statseeker's dashboards and out-of-the box reports allow you to troubleshoot and fix problems in your network before users are aware.
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SBS Quality Management Software
The SBS QMS Suite consists of 5 software modules that work together for efficient Quality compliance:
1) SBS Quality Database
- CAPA / 8D corrective and preventive actions (CAR) with root cause analysis
- Nonconformance management
- Risk analysis including FMEA, SWOT, interested party risk register
- Internal, customer, and third-party audit management
- Environmental Health and Safety (EHS / HSE) management
2) SBS Ground Control
- Employee training management (LMS)
- Self-Paced training
- Change control
- Document control
3) SBS Asset Tracking Database
- Calibrated equipment control
- Preventive maintenance
- Asset inventory management
4) SBS Inspection Database
- Record incoming material, in process, and final product inspection data
- Generate real time SPC charts
- Inspection plans and Control Plans
- Archive data for further statistical analysis
5) SBS Vendor Management
- Maintain an approved vendor list or AVL
- Develop vendor / supplier qualification plans
- Maintain vendor / supplier qualification history
Modules may be purchased separately or in any combination.
On-premise and cloud-based options are available.
Free demos are available for download or contact us for a cloud-based demo.
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Translytics
TranslytiX SaaS is a ready to use software solution that caters to all supply chain needs for an organization, including Demand Forecasting, Inventory Optimization and Supply Chain Diagnostics.
It offers a Demand Forecasting module.
• Fully automated forecasting engines.
• Improved forecast accuracy of 5-12% on average
• Includes exception planning for forecasts with insufficient precision.
• Provides a forecast override function.
• Allows for external inputs such as bottom-up predictions and seasonal spikes/drops
It offers:
• Comprehensive inventory visibility - excess, shortage, control
• Accurate inventory forecasts for future planning
• Inventory Risk Assessment: A Proactive Approach
* MTO/MTS SKU categorization guidance
• Supplier performance monitoring to optimize
• Actionable recommendations
• Root Cause Analysis that is easy to use
The product is like a Digital Brain on top of your Data System, delivering insights
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SAP Digital Manufacturing Cloud
The SAP Digital Manufacturing Cloud provides a comprehensive manufacturing execution system (MES) that enables the execution of processes, scenario analysis, and system integration using an efficient Industry 4.0 framework. It allows key stakeholders to gain insights into manufacturing performance at both global and plant levels through user-friendly, preconfigured analytics. By consolidating various manufacturing operations management (MOM) and automation systems, it connects multiple solutions and standard-based interfaces for streamlined data acquisition. Furthermore, it promotes ongoing business enhancement by employing advanced algorithms and machine learning to speed up root-cause analysis. As a result, businesses can meet highly individualized market demands, manage significant product variability, and enhance customer satisfaction while also preserving productivity, profitability, and quality standards. This holistic approach ultimately positions organizations to navigate the complexities of modern manufacturing more effectively.
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