Ensure the security and integrity of production data, build high-quality data history for analysis, create a single reliable source of truth, reduce silos, and establish data context.

Create the ability to observe processes in real-time at all the levels in organization, monitor trends and anomalies, detect alerts and analyze their impact on operations.

Understand and improve the quality of your data. High quality data and reduced number of errors require continuous monitoring and improvement.

Integrate your real-time, process and machine-generated data into production status and performance reports at any level of granularity and share insights within the organization.

Integrate OT and machine data with business systems and provide a full picture of operational performance. Connect systems easily using well-known standards to avoid spaghetti-like architecture.

Setup clear basis architecture and open standards for harnessing advanced analytics for anomaly detection, forecasting or any other data-driven use case to achieve operational excellence.

Start by clearly defining your objectives and the goal to achieve with the production monitoring system. Understand the specific metrics and KPIs you want to track.

Form a team with representatives from various departments, including operations, IT, maintenance, and management. This ensures that all stakeholders’ needs are considered.

Conduct a comprehensive assessment of your current production processes and workflows. Identify areas where monitoring can add value and streamline operations.

Determine how data will be collected and integrated into the monitoring system. Ensure data accuracy and consistency to make informed decisions.

Establish achievable milestones and timelines for the implementation. Break down the project into manageable phases.

Prepare for proper testing and quality assurance to identify and rectify any issues before the system goes live. Test various scenarios to ensure reliability and right product-business fit.

Continuously monitor the system’s performance and collect user feedback. Use this information to make improvements and optimize the monitoring process.

Ensure that the chosen solution can scale as your production needs grow. Consider emerging technologies and industry trends for long-term viability. Be aware of vendor-locks and architectures closed for integrations.

Document all processes, configurations, and procedures related to the production monitoring system. Transfer knowledge within your organization for self-sufficiency.