Breaking data silos: Smarter resource management across manufacturing systems

In today’s digital manufacturing landscape, data is everywhere - but insight is often elusive. IT leaders are tasked with integrating a growing web of systems, tools, and sources, yet data silos remain one of the biggest obstacles to smart, timely decision-making.

Nowhere is this more evident than in the challenge of manufacturing resource management. As manufacturers work to control utility costs, improve energy and water efficiency, and reduce operational waste, the ability to align resource data with production performance is becoming a key driver of competitive advantage - not just a reporting exercise.

But without unified access to timely, contextualized data, even the best-run plants can struggle to manage resources effectively, optimize production, or meet reporting demands.

Modern manufacturing plants generate massive volumes of data - from production lines, utility meters, equipment sensors, and enterprise systems. But despite the abundance of data, manufacturers often struggle to extract real value from it. Why? Because the data is siloed and disconnected – unable to be used across business functions to generate value in different contexts.

Most manufacturers rely on a mix of SCADA software, Manufacturing Execution Systems, historian systems, utility tracking tools, and spreadsheets - each designed for a specific function, team, or location. These systems are long proven to be effective, yet they often lack interoperability, making it difficult to share data or create a holistic view of operations.

This fragmentation leads to several problems:

• Delayed decision-making: Teams spend too much time gathering and reconciling data from disconnected systems
• Redundant or inconsistent reporting: Different teams use different metrics or data sets to analyze the same issue
• Limited visibility into resource use: Without system-level integration, it’s hard to understand how energy, water, or material usage relate to production performance and what to do about it
• Increased risk and missed opportunities: Gaps in data make it harder to spot inefficiencies, identify trends, or respond quickly to operational issues

For IT leaders, the burden of bridging these systems falls squarely on their shoulders. They’re expected to connect infrastructure, maintain data integrity, and support faster decision-making across departments - all while managing growing cybersecurity, compliance, and system uptime demands.

Solving this challenge isn’t just about data access - it’s about data integration. And it’s the foundation for smarter manufacturing resource management across the enterprise.

Disconnected systems are one of the biggest barriers to effective resource management in manufacturing. Energy use may be monitored by one system, production metrics by another, and water usage logged in spreadsheets or invoice records. When critical insights are spread across SCADA, MES, historian platforms, and utility tracking tools, it becomes nearly impossible to see the full picture, let alone act on it.

For IT leaders, unifying operational data means more than connecting systems - it’s about enabling a shared understanding of how resources are consumed, where inefficiencies exist, and how day-to-day actions impact both cost and performance across the enterprise.

To support that goal, manufacturers are looking for platforms and data strategies that can:

• Ingest and normalize data from multiple operational and environmental sources - across equipment, systems, and sites
• Standardize context and structure, so different teams interpret data the same way and collaborate more effectively
• Make resource and performance insights broadly accessible to cross-functional teams, from energy or facilities managers to plant managers to EHS and sustainability analysts
• Enable centralized dashboards and analytics that allow company leadership to assess a more complete set of performance metrics – inclusive of carbon emissions, resource spend, quality, and throughput.

IT leaders don’t just want more data - they want better data. Data that’s connected, trusted, and ready to support faster decision-making, improved efficiency, and measurable business impact.

With the right foundation, manufacturers can move beyond fragmented systems and toward a more connected, insight-driven approach to resource management.

Once data is unified across manufacturing systems, the real opportunity lies in making that information usable - not just collected, but contextualized, timely, and actionable.

With consistent, up-to-date data at their fingertips, operations and sustainability teams can make smarter decisions across a range of use cases, such as:

• Lowering the costs of utilities (electricity, natural gas, water, etc.) within a site and across the enterprise
• Creating unique and specific benchmarks of utilities consumption in a variety of production contexts – including factors such as product SKU, site location, and production mode
• Tracking trends and improvements in operational emissions performance or resource intensity over time
• Pinpointing inefficiencies tied to specific shifts, equipment, or processes
• Flagging deviations from expected resource usage that might otherwise go unnoticed

For IT leaders, enabling this kind of visibility means more than just streamlining reporting - it’s about supporting faster responses to performance issues, empowering plant teams to take proactive action, and driving more confident decisions across the organization.

When resource data can be evaluated alongside production data, rather than in isolation, teams can answer critical questions like:

• Why does energy use remain elevated during idle or non-production periods?
• How does utility consumption vary between manufacturing lines or product SKUs?
• Where are we seeing the best resource efficiency, and can it be replicated elsewhere?

These are the insights that move organizations beyond compliance and toward optimization, across sustainability and efficiency alike.

Connecting data across systems is the first, and often most difficult, step in delivering actionable insights. That’s where Proficy for sustainability insights can play a role. It’s designed to help IT leaders ingest and contextualize data from multiple systems, enabling cross-functional visibility, faster decision-making, and meaningful progress toward efficiency and resource goals.

By integrating data from sources like SCADA, historians, MES and other systems of contexts, Proficy is an industrial software suite that consolidates and standardizes operational and resource data into a centralized environment. The result is a structured, shareable view that connects resource usage (energy, water, materials) with production performance data - all presented in role-based dashboards that support smarter, faster decisions at every level.

• A shared data model that standardizes energy and utility metrics across plants, assets, and teams—enabling more accurate comparisons and consistent reporting
• Dashboards tailored to function and user role, whether it's a plant engineer, energy manager, or sustainability lead
• Embedded benchmarking capabilities that allow teams to compare performance against the expect rate for each combination of product, plant, and production state
• Timely alerts that highlight performance deviations and emerging issues so underperforming areas can be quickly identified and addressed

Proficy for sustainability insights provides analytics that connect production and resource data in meaningful ways. Teams can analyze how energy or water use varies by unit produced, by batch, or during idle time. They can also correlate usage with other production data available, such as motor RPM or machine run rate, to uncover patterns. This helps identify the operational drivers behind waste or inefficiencies and helps teams focus and prioritize troubleshooting efforts on the areas that are most likely to deliver the greatest impact.

At one facility, the IT team deploys Proficy for sustainability insights to consolidate and contextualize resource usage data from across systems. Here’s how the process unfolds:

• Data from utility meters, production lines, and historians is brought together into a single environment
• A facilities manager analyzes a dashboard highlighting that one production line is using significantly more water per unit produced than other lines running the same product
• Using Proficy’s benchmarking and analytics tools, the team uncovers two root causes:Longer-than-average cleaning cyclesOne of the process tanks is frequently overflowing, which turns out to be caused by a poorly calibrated level sensor
• The teams collaborate to standardize cleaning protocols and create a monthly preventative maintenance plan for testing sensor calibration

The result? Water usage per unit drops, quality improves, and unnecessary resource costs are reduced - all based on insights that wouldn’t have been visible without unified data. By providing timely, contextualized access to the right data, Proficy gives IT the tools to deliver more than system uptime and connectivity - it helps them deliver key insights, efficiency, and performance which unlock new business value across the manufacturing enterprise.

For IT leaders, the ability to deliver accurate, consistent data across systems is essential. The ability to integrate, overlay, and contextualize the organization’s data creates a pathway not only for traceability and reporting, but also for controlling costs, making smarter decisions, and enabling faster progress toward key business strategy objectives.

• Unify data across systems to break down silos and deliver a trusted view from a single meter to the enterprise-level
• Enable cross-functional collaboration by making relevant insights accessible to operations, engineering, EHS, and sustainability teams
• Improve data governance with consistent models, traceability, and contextual understanding of resource and production metrics
• Support both reporting and action, helping the organization meet internal goals and external requirements without doubling or duplicating efforts
• Demonstrate strategic value by contributing directly to efficiency improvements, cost savings, and sustainability outcomes

By delivering timely, structured insights, Proficy helps IT leaders move beyond infrastructure support and into a central role driving performance, visibility, and resilience across manufacturing operations .

Want to learn how Proficy for sustainability insights can help sustainability leaders use connected data to drive enterprise-wide sustainability goals? Read the next blog in our series or, contact us today to see how Proficy for Sustainability Insights can support your organization's unique IT and data integration goals.

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