Manufacturers have spent years investing in digital transformation technologies that generate enormous volumes of operational data. Manufacturing Execution Systems (MES), industrial historians, SCADA systems, ERP platforms, industrial IoT solutions, and analytics tools have made more information available than ever before.

Yet many frontline workers still struggle to answer critical operational questions:

• Why is production behind schedule?
• Which downtime event is having the greatest impact?
• Is this quality issue isolated or part of a larger trend?
• What action should I take next?
• Who has the information I need to solve this problem?

The challenge facing modern Connected Worker manufacturing initiatives isn't a lack of data.

It's a lack of context.

Manufacturers don't need more dashboards. Workers don't need more reports. And organizations don't necessarily need another standalone Connected Worker application.

What they need is a way to transform disconnected information into operational context that helps workers understand what is happening, why it matters, and what action to take next.

This is where Connected Worker software is evolving—and where manufacturers have an opportunity to unlock significantly greater value from their existing operational technology investments.

A Connected Worker is a frontline employee empowered with digital technologies, operational data, workflows, analytics, and collaboration tools that improve decision-making and execution.

In Connected Worker manufacturing environments, operators, maintenance technicians, supervisors, engineers, and plant managers have access to the information they need to make informed decisions in real time.

However, access to information alone is no longer enough.

The next evolution of Connected Worker initiatives is providing workers with operational context that connects information across systems, teams, and workflows.

When manufacturers discuss Connected Worker strategies, the conversation often centers around technology:

• Mobile devices
• Wearables
• Digital work instructions
• Electronic forms
• Workflow applications
• Collaboration tools

While these technologies can provide value, they often address only part of the challenge.

Many Connected Worker initiatives focus on connecting workers to systems.

Far fewer focus on connecting workers to operational context.

As a result, workers often spend valuable time navigating between applications to understand what's happening in the operation.

Consider a common manufacturing scenario.

An operator notices declining production performance and wants to identify the cause.

To understand the situation, they may need information from:

• Manufacturing Execution Systems (MES)
• Industrial historians
• SCADA systems
• Quality systems
• Maintenance applications
• Production scheduling software
• ERP systems

The data exists.

But the worker is responsible for connecting the dots.

In many organizations, employees have unintentionally become the integration layer between disconnected operational systems.

This slows decision-making, increases reliance on tribal knowledge, and limits the effectiveness of Connected Worker programs.

Many manufacturers assume that providing more access to data will naturally improve performance.

But data without context often creates more complexity.

For example, a machine alarm may indicate that something has changed. However, without understanding:

• Production priorities
• Maintenance history
• Quality performance
• Equipment utilization
• Production schedules
• Process conditions

workers may struggle to determine the significance of the event or the best course of action.

Context transforms data into actionable intelligence.

When operational information is connected and presented within the appropriate business and production context, workers can make faster and more confident decisions.

This is the foundation of successful Connected Worker manufacturing strategies.

One of the biggest barriers to operational excellence is the amount of time workers spend searching for information.

The Connected Worker video series focused on, “Speeding Time-to-Value” highlights how manufacturers can accelerate outcomes by improving access to contextualized operational intelligence.

When workers spend less time gathering information and more time solving problems, organizations can:

• Accelerate issue resolution
• Improve workforce productivity
• Increase collaboration
• Reduce operational delays
• Improve responsiveness across teams

The fastest path to value isn't collecting more data.

It's helping workers find answers faster.

This requires connecting operational information across systems so workers can focus on action instead of investigation.

The Connected Worker video series, “Act Fast to Improve Productivity, Quality & Safety” demonstrates how contextual awareness enables workers to make better decisions.

Most production disruptions don't occur because information is unavailable.

They occur because information is disconnected.

A single alarm, KPI, or quality alert rarely tells the complete story.

When operational information is combined with production schedules, OEE metrics, quality data, maintenance history, and process conditions, workers gain a more complete understanding of operational performance.

This contextual awareness helps manufacturers:

• Reduce downtime
• Improve product quality
• Increase operational efficiency
• Strengthen compliance
• Enhance worker safety
• Improve production performance

The goal isn't simply operational visibility.

The goal is operational understanding.

One of the most overlooked aspects of Connected Worker software is its role in preserving and scaling expertise.

Manufacturers continue to face challenges related to:

• Skilled labor shortages
• Workforce turnover
• Retiring subject matter experts
• Knowledge transfer
• Multi-site operations

The Connected Worker video series focused on “Access to Insights From Wherever You Are” highlights how manufacturing initiatives succeed when they help organizations deliver expertise—not just information.

By embedding context into workflows, dashboards, analytics, and operational processes, organizations can:

• Reduce dependency on tribal knowledge
• Accelerate employee onboarding
• Standardize best practices
• Improve operational consistency
• Empower less experienced workers

Workers don't simply need access to systems from anywhere.

They need access to expertise from anywhere.

Many manufacturers already have the data required to support Connected Workers.

The challenge is connecting that information into a meaningful operational experience.

This is where the Proficy portfolio provides a unique advantage.

Rather than operating as isolated applications, Proficy solutions can work together to connect operational data, production information, workflows, analytics, and visualization into a contextualized operational experience.

Proficy Historian collects and contextualizes high-fidelity industrial data from manufacturing equipment, processes, and operational systems.

This provides workers with access to trusted operational information that serves as the foundation for better decision-making.

Proficy Smart Factory MES provides production context through work orders, workflows, quality information, genealogy, traceability, and production performance metrics.

Workers gain visibility into not only what happened, but how production activities impact operational performance.

Proficy Operations Hub helps manufacturers create role-based operational experiences that bring together information from MES, historians, SCADA systems, ERP platforms, and third-party applications.

Instead of forcing workers to navigate multiple systems, Operations Hub helps create a single operational view that supports faster decision-making.

Proficy Scheduler adds production planning context, helping workers understand priorities, constraints, and scheduling impacts that influence operational performance.

Together, these solutions help manufacturers transform disconnected information into actionable operational intelligence.

The importance of operational context becomes even more significant in large, complex manufacturing environments.

In a Connected Worker webinar featuring Linde and Velotic, the discussion highlights how industrial organizations can improve operational visibility and empower workers through trusted, connected information.

Linde's approach demonstrates a key Connected Worker principle:

Workers are most effective when operational information is accessible, contextualized, and connected across systems.

By leveraging Proficy technologies as part of a broader industrial data strategy, manufacturers can:

• Standardize information across facilities
• Improve operational visibility
• Support KPI-driven decision-making
• Enable collaboration across teams
• Improve access to trusted industrial data
• Support enterprise-wide operational excellence

The result is a workforce that spends less time searching for information and more time taking action.

Manufacturers have invested heavily in collecting data.

The next opportunity is helping workers use that data more effectively.

The organizations that achieve the greatest success with Connected Worker software won't necessarily be those with the most dashboards, mobile devices, or applications.

They will be the organizations that provide workers with operational context.

When workers understand not only what is happening, but why it matters and what action to take next, they become faster, more confident, and more effective decision-makers.

Connected workers don't need more data.

They need context.

And manufacturers that deliver that context will be better positioned to improve productivity, quality, safety, workforce effectiveness, and operational performance.