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Overcoming Data Silos and Information Saturation

The document discusses how the industrial Internet of Things has created high volumes of real-time data from machines, sensors, and other connected devices. This data saturation can be overwhelming without the right infrastructure to analyze and focus the information. The document outlines how real-time data access through an IoT platform can improve decision-making, operational efficiency, quality control, compliance, and more. It also notes that role-based apps and integration are needed to ensure the right real-time data is delivered to each employee based on their specific responsibilities.

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0% found this document useful (0 votes)
63 views7 pages

Overcoming Data Silos and Information Saturation

The document discusses how the industrial Internet of Things has created high volumes of real-time data from machines, sensors, and other connected devices. This data saturation can be overwhelming without the right infrastructure to analyze and focus the information. The document outlines how real-time data access through an IoT platform can improve decision-making, operational efficiency, quality control, compliance, and more. It also notes that role-based apps and integration are needed to ensure the right real-time data is delivered to each employee based on their specific responsibilities.

Uploaded by

garmentss
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as PDF, TXT or read online on Scribd
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Overcoming Data Silos and Information Saturation

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Decisions at the Speed of Data
Overcoming Data Silos and Information Saturation

The industrial Internet of Things (IIoT) has created a new


breed of data that impacts every level of the manufacturing
ecosystem. Machines, software, devices, sensors, people,
locations and even dynamic elements such as processes
Real-time visibility into logistics routes
and events—both real and predicted—are connecting,
consuming, and churning out new data like never before.
and material flow across the supply
chain increases the efficiency of

Manufacturers big and small can connect their entire supply chain—
your production and inventory
regardless of protocols, processes, equipment age or location. This management . . . Easy access to a high
massive datafication has created high volume and high velocity
volume of near real-time data enables
information that is changing how decision-makers view their value chain.
But without an infrastructure that helps focus the information excess, all the improvement of current analytics
this newly tapped data can be overwhelming—slowing down important and the development of innovative
decisions, instead of streamlining them.
applications.
- Smart Factory Applications in Discrete
Manufacturing: An Industrial Internet Consortium White Paper

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Decisions at the Speed of Data
Overcoming Data Silos and Information Saturation

Real-Time Data for Real-World Decisions Reported Results from Businesses Incorporating
Real-Time Dynamic Data
Manufacturing relies on continuous production. Fast,
accurate, real-time analytical insights are intuitively
recognized as valuable. Many decisions must be made in
real-time, so having real-time data will naturally improve
100%
Improvement in time-to-decision
those decisions. Actionable, up-to-date metrics create many over the past year
new benefits, including:

• Improved OEE and Predictive Maintenance: With real-time


29%
equipment analysis based on the most up-to-date data, maintenance
Improvement accuracy of actual
revenue to budgeted revenue (+ or -)
teams can immediately determine the root cause of downtime and
other inefficiencies—and even prevent downtime through predictive

25%
data analysis.

• More In-Depth Performance and Quality Metrics: With an industrial


Greater accuracy of actual costs
IoT platform, real-time views into metrics of all kinds can be embedded to budgeted costs
into the production process. These detailed looks into performance
across the enterprise enable new levels of quality checks and
corrections—without slowing down production.
Source: Aberdeen Group research report, Dynamic Planning: Live in the
Moment to Succeed in the Future
• Refined Compliance Awareness: Manufacturers have different
compliance demands, depending on their industry. Real-time data can
consistently monitor regulatory alignment and immediately flag any
conflicts. More accurate compliance and regulatory data can also help
during audits.

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Decisions at the Speed of Data
Overcoming Data Silos and Information Saturation

• Workforce Efficiency and Accuracy: Integrated data from multiple


sources helps eliminate the manual processes of data collection, along
with helping simplify and automate tasks that are prone to human
error. Data is not only more timely, it’s more accurate.

By incorporating the IoT throughout our


• Faster Decision-Making and Problem-Solving: The ease of data
availability makes for faster and more informed problem-solving. shop floor, we’ve been able to take
Data can be accessed at any time on any device with internet access, something that previously required
so decision-makers always have data at their fingertips—on-site and
off-site.
memorization and 30 to 40 clicks and
bring it down to a single click of a
• Competitive Advantage and Improved Management Awareness:
At the corporate level, real-time data helps upper management forecast
button.
and prepare for both the expected and unexpected—from current
–Owen Gwynne
process gaps to future strategic planning. Management is better able to Senior Programmer, Teel Plastics
make and adjust decisions based on real-time, accurate data.

• Advanced Technology with Simple Administration: IoT helps


streamline communication between the IT and operations departments
across the enterprise, without burdening your IT team. With out-of-
the-box connectivity and user-friendly capabilities, real-time data
availability increases while reliance on IT support decreases.

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Decisions at the Speed of Data
Overcoming Data Silos and Information Saturation

Role-Based Apps and Integration

Accessing real-time data for the benefits listed above is a start. But
integrating and measuring specific role-based data helps provide a fuller
picture—especially when looking to that data for OEE metrics and KPIs.
Role-based, real-time data is the best way to overcome data overload and
ensure your information remains integrated and actionable at all levels.

With IoT, manufacturers can unlock data from every single asset, across
every remote location, and deliver it to every employee. But Controls
Engineers, Operations Engineers, Maintenance Managers, Continuous
Improvement Engineers and all the other wide variety of roles across the
enterprise have very different responsibilities—and they rely on different
types of data. By incorporating custom apps that create a single point of
access for different roles, each user can better understand their data and
the reality it depicts.
Role-based, real-time data is the
best way to overcome data overload
and ensure your information remains
integrated and actionable at all levels.

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Decisions at the Speed of Data
Overcoming Data Silos and Information Saturation

Focused Data Dashboard for Real-Time Analysis

For example, Controls Engineers often struggle with the With the real-time data presented
challenges of connectivity errors and critical data loss. An on dashboards created just for
IoT-enabled smart factory adds reliable data connectivity— them, Controls Engineers have
but a role-based app, custom-built on your high-performing
more capabilities to
IoT platform focuses that data for deeper insights.
perform condition-based
monitoring and draw
Controls Engineers gain the ability to remotely visualize, monitor and
troubleshoot industrial data and machine connectivity in real-time— attention to problems
without needing to sift through data dumps or manually input the data before they impact
they really need. They receive instant notification of data communication
errors—such as when a PLC or device stops communicating—real-time
production or cause data
alerts, rapid tag trending and more. Controls Engineers can build up their loss. They can troubleshoot
custom IoT apps to make use of the data in numerous ways, including
in real-time, watching
opportunities for:
the results even as they
• Efficient root-cause analysis, leading to faster issue traceability,
experiment with a solution.
troubleshooting and resolution

• Enhanced insights into connectivity errors

• Predictive data analysis for reduced unplanned downtime

• Increased flexibility through enhanced remote monitoring

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Decisions at the Speed of Data
Overcoming Data Silos and Information Saturation

And That’s Just One Role, and Just One Example.

While IoT has created real-time data, the ability to funnel that data to the
right person is the next step in creating real-world results—such as a more
informed, performant and productive plant floor. Real-time visibility into
production status, data connectivity, maintenance issues, operational
efficiency, product quality and other KPIs is useless if the right people can’t
access the right data.

Thinking Beyond the Platform

An industrial IoT platform used to be the next generation of technology—


For more information on how custom-built
now it’s just the start. Building on the platform, custom-built apps provide
role-based information that funnels the correct data to the person who apps are extending IoT and driving
needs it most, in real-time. Purpose-built, IoT analytics software is crucial performance for manufacturers, visit
for integrating raw data from the unprecedented number of connected
data flows and turning it into reliable information. An IoT platform provides
developer.thingworx.com/apps or
a strong base for user-friendly, out-of-the-box apps that enable different contact a PTC specialist today.
roles to customize their data—and their innovations.

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