Every machine, line, and logistics system across UK manufacturing sites continuously generates data, but despite the scale of digital capture, much of that information never translates into action. Nearly half (46%) of manufacturers report that integration and data challenges are holding back automation and productivity, and while 74% of manufacturers consider real-time data essential, many still struggle to act on it.
“The volume of available data isn’t the problem,” says Alex Douglas, Client Development Director at Pulsant. “The real challenge is knowing which datasets are critical, processing them fast enough, and where that needs to happen. Without that clarity, the system becomes clogged and expensive, especially if cloud usage scales without control.”
Manufacturers under pressure to digitise every part of the operation often end up with sprawling data flows that are hard to act on. This article explores the importance of manufacturers having the right digital infrastructure to ensure timely and efficient collection of information from devices within their facilities. This, in turn, enables actionable insights that drive value and boost productivity.
Understanding the Manufacturers’ Challenges
In low-margin, high-pressure manufacturing environments, timing dictates value. A deviation in motor temperature, a stockout risk flagged by ERP, or a sensor warning on packaging alignment only deliver impact if processed and surfaced immediately.
Edge computing makes that possible. By handling time-sensitive data locally, closer to the machines, personnel, or product lines, it means manufacturers can reduce latency and decrease dependency on distant cloud zones. This not only cuts bandwidth costs but also enables action before problems escalate.
“Pushing analytics to the edge removes the noise and preserves relevance,” says Douglas. “By avoiding dragging everything into central systems, it is easier for teams to quickly obtain actionable insights. More importantly, it puts control back in the hands of those closest to production.”
This leaner approach depends on infrastructure built for data throughput, proximity, and real-time availability. That means secure, high-performance networks capable of supporting sensor-to-action workflows, paired with regional data centres that offer scalable processing without losing traceability, using distributed platforms such as platformEDGE , Pulsant’s nationwide edge computing and connectivity platform, which enables businesses to process data closer to where it’s generated while maintaining control and compliance.
Benefits of Smart Data Strategies
When manufacturers move away from indiscriminate collection and towards targeted, time-aware consumption, the efficiency gains are immediate. Engineering teams can prioritise predictive over reactive maintenance. Supply chains become more responsive, with lower inventory costs and tighter just-in-time margins. And business decision-makers operate from a current, unified view of operational performance, not a delayed or conflicting picture.
By offloading only high-value data to hyperscale platforms and keeping operational intelligence local, manufacturers also mitigate risk. System-critical datasets stay within defined governance perimeters. This approach also helps control bandwidth and processing costs, especially across data-intensive operations. The path to compliance, whether around data sovereignty, ISO 27001, or sector-specific standards, becomes easier to manage.
Operational resilience improves, too. As localised processing reduces exposure to internet outages or third-party cloud issues.
The Future of Lean Data Manufacturing
Digital transformation in manufacturing relies on turning data into a useful asset. By building digital infrastructures that prioritise real-time analysis, localised processing, and smart data filtering, manufacturers can cut through the noise, respond faster to operational risks, and drive meaningful productivity gains.
For an industry where every second counts, relevance will always beat volume. And with high-performance platforms close to point-of-use, the opportunity to act on the right data, at the right time, has never been more attainable.
Sources:
https://www.infor.com/news/ai-
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