Manual Processes to Real-Time Intelligence
An industrial organization relied heavily on manual data extraction and spreadsheet-based reporting to support operational decision-making. This approach resulted in delayed insights, limited visibility into production and asset performance, inconsistent data quality, and unclear ownership of critical operational data. As a result, leadership lacked confidence in the accuracy and timeliness of operational intelligence.
Data Visibility Challenge
The client’s dependence on manual data collection and static reporting introduced inefficiencies across operations. Delays in decision-making, fragmented production visibility, inconsistent data quality, and undefined data ownership eroded trust in operational metrics and constrained effective management.
Comprehensive Data Solution
Our team of engineers identified and cataloged critical data sources across PLCs, SCADA systems, Historians, and MES platforms. Secure data pipelines were designed to collect, normalize, and contextualize OT data, enabling near-real-time visibility while preserving security and operational integrity.
Data Transformation Outcomes
- Data Source Inventory: Comprehensive catalog of critical industrial data sources and ownership
- Secure Data Pipelines: Edge-to-enterprise connectivity with built-in security controls
- Data Normalization Models: Contextualized and standardized data for meaningful analysis
- Operational Dashboards: Real-time visibility into production performance and asset health
- Data Governance Framework: Defined ownership, quality controls, and lifecycle management
This data integration initiative enabled the organization to shift from reactive, manual reporting to trusted, real-time operational intelligence—empowering faster, more confident decision-making across the business.
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