
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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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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IBM Cloud Pak for Watson AIOps
Embark on your AIOps journey and revolutionize your IT operations using IBM Cloud Pak for Watson AIOps. This advanced platform integrates sophisticated, explainable AI throughout the ITOps toolchain, enabling you to effectively evaluate, diagnose, and address incidents affecting critical workloads. For those seeking IBM Netcool Operations Insight or earlier IBM IT management solutions, IBM Cloud Pak for Watson AIOps represents the next step in your current entitlements. It allows you to correlate data from all pertinent sources, uncover hidden anomalies, predict potential issues, and expedite resolutions. By proactively mitigating risks and automating runbooks, workflows become significantly more efficient. AIOps tools facilitate the real-time correlation of extensive unstructured and structured data, ensuring that teams can remain focused while gaining valuable insights and recommendations integrated into their existing processes. Additionally, you can create policies at the microservice level, allowing for seamless automation across various application components, ultimately enhancing overall operational efficiency even further. This comprehensive approach ensures that your IT operations are not just reactive but also strategically proactive.
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BMC Helix Operations Management
BMC Helix Operations Management serves as a comprehensive, cloud-native solution for observability and AIOps, specifically engineered to address the complexities of hybrid-cloud environments. Adopting a service-oriented perspective towards observability data is crucial for achieving effective AIOps results. It facilitates the integration of third-party observability inputs, including metrics, events, logs, incidents, changes, and topologies, into a unified IT data repository. This enables users to monitor service health and enhances the capacity for pinpointing root causes through automatically generated dynamic business service models. The AI-driven features improve the signal-to-noise ratio by employing event suppression, de-duplication, and correlation, all aimed at generating actionable insights. Users can quickly identify root causes with AI probability assignments to key causal nodes based on comprehensive data and service models. Additionally, the platform aids in preventing future incidents through proactive Business Service Health monitoring and AI-driven outage predictions. Troubleshooting is expedited via enriched logs and advanced analytics, while users can conveniently request and implement automations through BMC or other third-party tools, making management seamless and efficient. Ultimately, this solution empowers organizations to enhance their operational resilience and streamline management processes.
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