Task
User Engagement on Blog and Demo Scheduling
As a potential Dime customer, I explore industry insights and schedule a product demo, so that I can understand the benefits of Dime's solutions and evaluate how they can address my business needs.
Success definition: Given I am a visitor on the Dime website When I navigate to the blog section and read an article about data operations in asset-intensive industries, then click on the Book a demo link Then I should see the demo scheduling options presented, allowing me to book a demonstration of Dime's capabilities.
Trajectory
Step 1:
Url (before/after):
https://www.getdime.io/
https://www.getdime.io/blog
Content (before/after):
RootWebArea DIME | Manufacturing Analytics Platform, focused, url='https://www.getdime.io/'
banner
[37] link home, center=(320,56), url='https://www.getdime.io/'
image
navigation
Show more
[43] link Blog New, center=(1310,56), inner_text=Blog
New, url='https://www.getdime.io/blog'
[48] link Book a demo, center=(1469,56), url='https://www.getdime.io/#'
image
[55] link Login, center=(1619,56), url='https://app.dimemanufacturing.com/'
main
heading Predict Failures [ Prevent Downtime]
StaticText Dime AI predicts hardware failures before they happen
[74] link Talk to a founder, center=(343,671), url='https://www.getdime.io/#'
image
image, url='https://cdn.prod.website-files.com/671158186360e33acd80ae09/674deae12f789eeee70674bf_hero%20image.avif'
StaticText [Problem]
heading Data from industrial assets is significantly underused
image
image
StaticText Features
heading Use Cases
image, url='https://cdn.prod.website-files.com/671158186360e33acd80ae09/674e8574d02efb239daa6156_illustration-2.avif'
image, url='https://cdn.prod.website-files.com/671158186360e33acd80ae09/674e8574a0d1e88e78649c73_illustration-1.avif'
image, url='https://cdn.prod.website-files.com/671158186360e33acd80ae09/674e85746f7ad240fd664972_illustration.avif'
StaticText 1
image
StaticText Comprehensive Data Search
StaticText Dime is the single source of truth for industrial data—find what you need instantly, not in hours
StaticText 2
image
StaticText Predictive Analytics
StaticText Dime's predictive analytics pinpoint hardware failures before they happen, keeping your machines running smoothly
StaticText 3
image
StaticText Visualization
StaticText Generate dashboards, reports and complex graphs without complex queries or data infra
image
heading How it Works
image
StaticText 01
StaticText Dime assess your data infrastructure during a quick discovery call
image
StaticText 02
StaticText Dime sets up real-time data streams and pipelines for ingestion
image
StaticText 03
StaticText Get instant predictions and alerts to prevent hardware failures
StaticText Made in Detroit
heading From Data Overload to Operational Clarity
link Book a demo, url='https://www.getdime.io/#'
image, url='https://cdn.prod.website-files.com/671158186360e33acd80ae09/67526aa1ab3aee556672f724_wave%20bg.avif'
contentinfo
link, url='https://www.getdime.io/'
image, url='https://cdn.prod.website-files.com/671158186360e33acd80ae09/671161c38a44fc343c0247de_path17.avif'
StaticText Join our newsletter to stay up to date on features and releases.
StaticText Follow us
link, url='https://www.getdime.io/#'
image
link, url='https://www.linkedin.com/company/dime-manufacturing/'
image
form Email Form
textbox Enter your email, required
button Subscribe
StaticText By subscribing you agree to with our
link Privacy Policy, url='https://www.getdime.io/#'
StaticText and provide consent to receive updates from our company.
StaticText © 2024 Dime Procurement, Inc. All rights reserved.
link Privacy Policy, url='https://www.getdime.io/#'
link Terms of Service, url='https://www.getdime.io/#'
link Cookie Settings, url='https://www.getdime.io/#'
RootWebArea Blog, focused, url='https://www.getdime.io/blog'
banner
[24] link home, center=(320,56), url='https://www.getdime.io/'
image
navigation
Show more
[30] link Blog New, center=(1310,56), inner_text=Blog
New, url='https://www.getdime.io/blog'
[35] link Book a demo, center=(1469,56), url='https://www.getdime.io/blog#'
image
[42] link Login, center=(1619,56), url='https://app.dimemanufacturing.com/'
main
heading The [ Journal ]
StaticText Follow along as we share the latest in Digital Transformation, IIOT and AI in Manufacturing
image
list
listitem
[77] link an AI image about data and human, center=(472,731), url='https://www.getdime.io/blog/dime-blog/data-ops'
image an AI image about data and human, url='https://cdn.prod.website-files.com/673ea7367ab2e9ccc39a6a54/673f5ca3e90e42f5d3b53ccc_AdobeStock_985355495-p-500.jpg'
StaticText Digital Transformation
StaticText Read time:
StaticText 5
StaticText mintues
StaticText The State of Data Operations in Asset-Intensive Industries
StaticText Data utility varies widely across asset-intensive industries. The Dime team shares insights from their research on the current state of data operations and the opportunities ahead.
link Read Now, url='https://www.getdime.io/blog/dime-blog/data-ops'
image
link, url='https://www.getdime.io/'
image, url='https://cdn.prod.website-files.com/671158186360e33acd80ae09/671161c38a44fc343c0247de_path17.avif'
StaticText Join our newsletter to stay up to date on features and releases.
StaticText Follow us
link, url='https://www.getdime.io/blog#'
image
link, url='https://www.linkedin.com/company/dime-manufacturing/'
image
form Email Form
textbox Enter your email, required
button Subscribe
StaticText By subscribing you agree to with our
link Privacy Policy, url='https://www.getdime.io/blog#'
StaticText and provide consent to receive updates from our company.
StaticText © 2024 Dime Procurement, Inc. All rights reserved.
link Privacy Policy, url='https://www.getdime.io/blog#'
link Terms of Service, url='https://www.getdime.io/blog#'
link Cookie Settings, url='https://www.getdime.io/blog#'
Reasoning for action: I clicked on the Blog link as my first step because the user's instruction requires me to explore industry insights. By accessing the blog section, I will be able to find relevant articles that provide insights necessary for understanding Dime's solutions, eventually leading me to schedule a demo.
Action: click(43) # Click on the Blog link to explore the content.
Change Description: After clicking the Blog link, the browser navigated to the Blog page at 'https://www.getdime.io/blog', changing the title from 'DIME | Manufacturing Analytics Platform' to 'Blog' and updating the main content to display blog articles, including a new heading and static text describing the journal's purpose.
Screenshot before:Screenshot after:---
Step 2:
Url (before/after):
https://www.getdime.io/blog
https://www.getdime.io/blog/dime-blog/data-ops
Content (before/after):
RootWebArea Blog, focused, url='https://www.getdime.io/blog'
banner
[24] link home, center=(320,56), url='https://www.getdime.io/'
image
navigation
Show more
[30] link Blog New, center=(1310,56), inner_text=Blog
New, url='https://www.getdime.io/blog'
[35] link Book a demo, center=(1469,56), url='https://www.getdime.io/blog#'
image
[42] link Login, center=(1619,56), url='https://app.dimemanufacturing.com/'
main
heading The [ Journal ]
StaticText Follow along as we share the latest in Digital Transformation, IIOT and AI in Manufacturing
image
list
listitem
[77] link an AI image about data and human, center=(472,731), url='https://www.getdime.io/blog/dime-blog/data-ops'
image an AI image about data and human, url='https://cdn.prod.website-files.com/673ea7367ab2e9ccc39a6a54/673f5ca3e90e42f5d3b53ccc_AdobeStock_985355495-p-500.jpg'
StaticText Digital Transformation
StaticText Read time:
StaticText 5
StaticText mintues
StaticText The State of Data Operations in Asset-Intensive Industries
StaticText Data utility varies widely across asset-intensive industries. The Dime team shares insights from their research on the current state of data operations and the opportunities ahead.
link Read Now, url='https://www.getdime.io/blog/dime-blog/data-ops'
image
link, url='https://www.getdime.io/'
image, url='https://cdn.prod.website-files.com/671158186360e33acd80ae09/671161c38a44fc343c0247de_path17.avif'
StaticText Join our newsletter to stay up to date on features and releases.
StaticText Follow us
link, url='https://www.getdime.io/blog#'
image
link, url='https://www.linkedin.com/company/dime-manufacturing/'
image
form Email Form
textbox Enter your email, required
button Subscribe
StaticText By subscribing you agree to with our
link Privacy Policy, url='https://www.getdime.io/blog#'
StaticText and provide consent to receive updates from our company.
StaticText © 2024 Dime Procurement, Inc. All rights reserved.
link Privacy Policy, url='https://www.getdime.io/blog#'
link Terms of Service, url='https://www.getdime.io/blog#'
link Cookie Settings, url='https://www.getdime.io/blog#'
RootWebArea Dime, focused, url='https://www.getdime.io/blog/dime-blog/data-ops'
banner
[18] link home, center=(320,56), url='https://www.getdime.io/'
image
navigation
Show more
[24] link Blog New, center=(1310,56), inner_text=Blog
New, url='https://www.getdime.io/blog'
[29] link Book a demo, center=(1469,56), url='https://www.getdime.io/blog/dime-blog/data-ops#'
image
[36] link Login, center=(1619,56), url='https://app.dimemanufacturing.com/'
main
heading The State of Data Operations in Asset-Intensive Industries
StaticText Digital Transformation
StaticText Read time:
StaticText 5
StaticText mintues
image, url='https://cdn.prod.website-files.com/673ea7367ab2e9ccc39a6a54/673f5ca3e90e42f5d3b53ccc_AdobeStock_985355495-p-500.jpg'
paragraph
StaticText Thirteen years ago, at a fair in Hanover, Germany, the term “Industry 4.0” entered the industrial lexicon. The timing was fitting. The HTC Evo had just launched as the first 4G phone and 30% of Americans had adopted smartphones. Digital transformation was the buzzword of the day and the vision of smart factories with autonomous, data-driven machines seemed to be only years away.
paragraph
StaticText Fast forward to today, and that vision is slowly becoming reality. Across the industry, companies are taking steps to digitize operations and unlock the potential of their data. But the path to Industry 4.0 is a spectrum - some factories deploy cutting-edge ML and others still rely on clipboards to track production.
paragraph
StaticText Over the past few months, the Dime team has spoken to dozens of manufacturing and data engineers, and here’s what we’ve learned about where the industry stands today.
heading The Current Landscape of Data Operations
strong
paragraph
StaticText The reality for many manufacturers is shaped by legacy equipment. Machines purchased decades ago often lack the sensors or connectivity to generate meaningful data, let alone feed it into modern systems. American manufacturing’s slowdown since the 1970s left many plants with infrastructure built for a different era. Yet, despite these challenges, some industries—particularly those with continuous operations like oil & gas, chemicals, and food & beverage—are much further along in their digital journeys. These companies have the most to gain from incremental improvements, where even a 1% increase in efficiency can mean millions in savings.
paragraph
StaticText In contrast, discrete manufacturers, like medical device companies with human-driven assembly stations, are often able to spot issues through observation and experience. For them, the urgency to invest in data operations isn’t as strong. As a result, the maturity of data operations varies widely across industries and even within companies.
heading Stages of Digital Transformation
strong
paragraph
StaticText Manufacturers tend to fall into one of four stages on their data operations journey:
list
listitem
ListMarker 0.
strong
StaticText Production Tracking with Basic Data Extraction
StaticText For most manufacturers, the first step is understanding what’s happening on the factory floor. In the past, whiteboards and clipboards were the go-to tools, but they’re impractical for real-time insights in a 100K+ square foot facility. Modern machine monitoring tools now fill this gap, enabling plant managers to track production remotely. Even older machines can be retrofitted with voltage sensors to estimate cycle counts. It’s not perfect, but it’s a start.
listitem
ListMarker 0.
strong
StaticText Flexible Visualizations
StaticText Companies with connected assets are finding new ways to visualize their operations. Tools like PowerBI have become invaluable, allowing manufacturing teams to create dashboards that transform raw data into actionable insights. By leveraging historians, manufacturers can track performance and identify bottlenecks. However, these tools often require the expertise of BI analysts to unlock their full potential.
listitem
ListMarker 0.
strong
StaticText Retroactive Analysis with Data Engineers
StaticText The most advanced manufacturers take things further, employing teams of data engineers to analyze historical data and identify opportunities for improvement. Moving data from on-prem historians to the cloud opens up new possibilities for analysis and optimization. For companies running 24/7 operations, even small improvements in yield or uptime can have a massive impact on the bottom line.
listitem
ListMarker 0.
strong
StaticText Automated Real-Time Optimization
StaticText
StaticText At the top of the pyramid are companies that have mastered their infrastructure and are deploying machine learning models in real time either natively in their control systems or utilizing technology like OPC UA. These teams can extract actionable insights in real-time, enabling immediate adjustments through closed feedback loops integrated directly into control systems. While this level of sophistication remains rare, it sets the standard for what’s possible and offer a glimpse into the future for manufacturers with the resources to invest.
heading The Problem with the Status Quo
strong
paragraph
StaticText Despite the progress, most manufacturers are locked out of advanced data operations. The cost of integration for top-end platforms can run into the millions, and hiring the specialized talent to make sense of the data adds an ongoing operating expense. This creates a gulf between the largest players, who have the resources to innovate, and everyone else, who are left behind.
heading Can GenAI Actually Help?
strong
paragraph
StaticText This is where GenAI has the potential to change everything. By automating complex data transformations, it can drastically reduce the time and cost of integrating advanced tools. More importantly, it can democratize access to insights. With innovations like text-to-SQL and context-based query generation, manufacturing and process engineers can interact with their data directly—no data science team required.
paragraph
StaticText At Dime, we’re building tools to make this vision a reality. Our platform bridges the gap, enabling manufacturers of all sizes to extract value from their data without breaking the bank.
paragraph
StaticText The dream of Industry 4.0 was never just about technology. It’s about creating a future where every manufacturer—big or small—can run smarter, leaner, and more connected operations.
paragraph
StaticText Ready to unlock the potential of your data?
link Schedule a demo, url='https://calendly.com/ashish-dime/30min'
StaticText and let’s explore how Dime can empower your operations.
StaticText Share to
[95] link, center=(1378,247), url='https://www.facebook.com/sharer/sharer.php?u=https%3A%2F%2Fwww.getdime.io%2Fblog%2Fdime-blog%2Fdata-ops'
image
[98] link, center=(1438,247), url='https://www.linkedin.com/sharing/share-offsite/?url=https%3A%2F%2Fwww.getdime.io%2Fblog%2Fdime-blog%2Fdata-ops'
image
[101] link, center=(1498,247), url='https://twitter.com/intent/post/?url=https%3A%2F%2Fwww.getdime.io%2Fblog%2Fdime-blog%2Fdata-ops&text=Dime'
image
[104] link, center=(1558,247), url='https://www.getdime.io/blog/dime-blog/data-ops#'
image
image, url='https://cdn.prod.website-files.com/673ea7367ab2e9ccc39a6a54/673f57a50bb3d327ae379ffd_Bajaj_Ashish_161-Pilot-0237-2658-Edit_Bookface-p-500.jpg'
StaticText Ashish Bajaj
StaticText November 25, 2024
contentinfo
link, url='https://www.getdime.io/'
image, url='https://cdn.prod.website-files.com/671158186360e33acd80ae09/671161c38a44fc343c0247de_path17.avif'
StaticText Join our newsletter to stay up to date on features and releases.
StaticText Follow us
link, url='https://www.getdime.io/blog/dime-blog/data-ops#'
image
link, url='https://www.linkedin.com/company/dime-manufacturing/'
image
form Email Form
textbox Enter your email, required
button Subscribe
StaticText By subscribing you agree to with our
link Privacy Policy, url='https://www.getdime.io/blog/dime-blog/data-ops#'
StaticText and provide consent to receive updates from our company.
StaticText © 2024 Dime Procurement, Inc. All rights reserved.
link Privacy Policy, url='https://www.getdime.io/blog/dime-blog/data-ops#'
link Terms of Service, url='https://www.getdime.io/blog/dime-blog/data-ops#'
link Cookie Settings, url='https://www.getdime.io/blog/dime-blog/data-ops#'
Reasoning for action: I clicked on the 'Read Now' link (77) because doing so allows me to access the specific article about data operations in asset-intensive industries. Reading this article is critical for understanding the insights provided by Dime which will help evaluate how Dime's solutions can address the user's business needs. This step directly supports the user story by ensuring I gather relevant information before attempting to book a demo.
Action: click(77) # Click on the 'Read Now' link for the featured article to explore its content.
Change Description: After clicking the 'Read Now' link, the browser state changed to display the full content of the article titled 'The State of Data Operations in Asset-Intensive Industries,' with an updated URL reflecting the specific page for this article, and alterations to the main content area to include several paragraphs discussing digital transformation in manufacturing, along with relevant headings and images.
Screenshot before:Screenshot after:---
Step 3:
Url (before/after):
https://www.getdime.io/blog/dime-blog/data-ops
https://www.getdime.io/blog/dime-blog/data-ops
Content (before/after):
RootWebArea Dime, focused, url='https://www.getdime.io/blog/dime-blog/data-ops'
banner
[18] link home, center=(320,56), url='https://www.getdime.io/'
image
navigation
Show more
[24] link Blog New, center=(1310,56), inner_text=Blog
New, url='https://www.getdime.io/blog'
[29] link Book a demo, center=(1469,56), url='https://www.getdime.io/blog/dime-blog/data-ops#'
image
[36] link Login, center=(1619,56), url='https://app.dimemanufacturing.com/'
main
heading The State of Data Operations in Asset-Intensive Industries
StaticText Digital Transformation
StaticText Read time:
StaticText 5
StaticText mintues
image, url='https://cdn.prod.website-files.com/673ea7367ab2e9ccc39a6a54/673f5ca3e90e42f5d3b53ccc_AdobeStock_985355495-p-500.jpg'
paragraph
StaticText Thirteen years ago, at a fair in Hanover, Germany, the term “Industry 4.0” entered the industrial lexicon. The timing was fitting. The HTC Evo had just launched as the first 4G phone and 30% of Americans had adopted smartphones. Digital transformation was the buzzword of the day and the vision of smart factories with autonomous, data-driven machines seemed to be only years away.
paragraph
StaticText Fast forward to today, and that vision is slowly becoming reality. Across the industry, companies are taking steps to digitize operations and unlock the potential of their data. But the path to Industry 4.0 is a spectrum - some factories deploy cutting-edge ML and others still rely on clipboards to track production.
paragraph
StaticText Over the past few months, the Dime team has spoken to dozens of manufacturing and data engineers, and here’s what we’ve learned about where the industry stands today.
heading The Current Landscape of Data Operations
strong
paragraph
StaticText The reality for many manufacturers is shaped by legacy equipment. Machines purchased decades ago often lack the sensors or connectivity to generate meaningful data, let alone feed it into modern systems. American manufacturing’s slowdown since the 1970s left many plants with infrastructure built for a different era. Yet, despite these challenges, some industries—particularly those with continuous operations like oil & gas, chemicals, and food & beverage—are much further along in their digital journeys. These companies have the most to gain from incremental improvements, where even a 1% increase in efficiency can mean millions in savings.
paragraph
StaticText In contrast, discrete manufacturers, like medical device companies with human-driven assembly stations, are often able to spot issues through observation and experience. For them, the urgency to invest in data operations isn’t as strong. As a result, the maturity of data operations varies widely across industries and even within companies.
heading Stages of Digital Transformation
strong
paragraph
StaticText Manufacturers tend to fall into one of four stages on their data operations journey:
list
listitem
ListMarker 0.
strong
StaticText Production Tracking with Basic Data Extraction
StaticText For most manufacturers, the first step is understanding what’s happening on the factory floor. In the past, whiteboards and clipboards were the go-to tools, but they’re impractical for real-time insights in a 100K+ square foot facility. Modern machine monitoring tools now fill this gap, enabling plant managers to track production remotely. Even older machines can be retrofitted with voltage sensors to estimate cycle counts. It’s not perfect, but it’s a start.
listitem
ListMarker 0.
strong
StaticText Flexible Visualizations
StaticText Companies with connected assets are finding new ways to visualize their operations. Tools like PowerBI have become invaluable, allowing manufacturing teams to create dashboards that transform raw data into actionable insights. By leveraging historians, manufacturers can track performance and identify bottlenecks. However, these tools often require the expertise of BI analysts to unlock their full potential.
listitem
ListMarker 0.
strong
StaticText Retroactive Analysis with Data Engineers
StaticText The most advanced manufacturers take things further, employing teams of data engineers to analyze historical data and identify opportunities for improvement. Moving data from on-prem historians to the cloud opens up new possibilities for analysis and optimization. For companies running 24/7 operations, even small improvements in yield or uptime can have a massive impact on the bottom line.
listitem
ListMarker 0.
strong
StaticText Automated Real-Time Optimization
StaticText
StaticText At the top of the pyramid are companies that have mastered their infrastructure and are deploying machine learning models in real time either natively in their control systems or utilizing technology like OPC UA. These teams can extract actionable insights in real-time, enabling immediate adjustments through closed feedback loops integrated directly into control systems. While this level of sophistication remains rare, it sets the standard for what’s possible and offer a glimpse into the future for manufacturers with the resources to invest.
heading The Problem with the Status Quo
strong
paragraph
StaticText Despite the progress, most manufacturers are locked out of advanced data operations. The cost of integration for top-end platforms can run into the millions, and hiring the specialized talent to make sense of the data adds an ongoing operating expense. This creates a gulf between the largest players, who have the resources to innovate, and everyone else, who are left behind.
heading Can GenAI Actually Help?
strong
paragraph
StaticText This is where GenAI has the potential to change everything. By automating complex data transformations, it can drastically reduce the time and cost of integrating advanced tools. More importantly, it can democratize access to insights. With innovations like text-to-SQL and context-based query generation, manufacturing and process engineers can interact with their data directly—no data science team required.
paragraph
StaticText At Dime, we’re building tools to make this vision a reality. Our platform bridges the gap, enabling manufacturers of all sizes to extract value from their data without breaking the bank.
paragraph
StaticText The dream of Industry 4.0 was never just about technology. It’s about creating a future where every manufacturer—big or small—can run smarter, leaner, and more connected operations.
paragraph
StaticText Ready to unlock the potential of your data?
link Schedule a demo, url='https://calendly.com/ashish-dime/30min'
StaticText and let’s explore how Dime can empower your operations.
StaticText Share to
[95] link, center=(1378,247), url='https://www.facebook.com/sharer/sharer.php?u=https%3A%2F%2Fwww.getdime.io%2Fblog%2Fdime-blog%2Fdata-ops'
image
[98] link, center=(1438,247), url='https://www.linkedin.com/sharing/share-offsite/?url=https%3A%2F%2Fwww.getdime.io%2Fblog%2Fdime-blog%2Fdata-ops'
image
[101] link, center=(1498,247), url='https://twitter.com/intent/post/?url=https%3A%2F%2Fwww.getdime.io%2Fblog%2Fdime-blog%2Fdata-ops&text=Dime'
image
[104] link, center=(1558,247), url='https://www.getdime.io/blog/dime-blog/data-ops#'
image
image, url='https://cdn.prod.website-files.com/673ea7367ab2e9ccc39a6a54/673f57a50bb3d327ae379ffd_Bajaj_Ashish_161-Pilot-0237-2658-Edit_Bookface-p-500.jpg'
StaticText Ashish Bajaj
StaticText November 25, 2024
contentinfo
link, url='https://www.getdime.io/'
image, url='https://cdn.prod.website-files.com/671158186360e33acd80ae09/671161c38a44fc343c0247de_path17.avif'
StaticText Join our newsletter to stay up to date on features and releases.
StaticText Follow us
link, url='https://www.getdime.io/blog/dime-blog/data-ops#'
image
link, url='https://www.linkedin.com/company/dime-manufacturing/'
image
form Email Form
textbox Enter your email, required
button Subscribe
StaticText By subscribing you agree to with our
link Privacy Policy, url='https://www.getdime.io/blog/dime-blog/data-ops#'
StaticText and provide consent to receive updates from our company.
StaticText © 2024 Dime Procurement, Inc. All rights reserved.
link Privacy Policy, url='https://www.getdime.io/blog/dime-blog/data-ops#'
link Terms of Service, url='https://www.getdime.io/blog/dime-blog/data-ops#'
link Cookie Settings, url='https://www.getdime.io/blog/dime-blog/data-ops#'
RootWebArea Dime, focused, url='https://www.getdime.io/blog/dime-blog/data-ops'
banner
[18] link home, center=(320,56), url='https://www.getdime.io/'
image
navigation
Show more
[24] link Blog New, center=(1310,56), inner_text=Blog
New, url='https://www.getdime.io/blog'
[29] link Book a demo, center=(1469,56), focused, url='https://www.getdime.io/blog/dime-blog/data-ops#'
image
[36] link Login, center=(1619,56), url='https://app.dimemanufacturing.com/'
main
heading The State of Data Operations in Asset-Intensive Industries
StaticText Digital Transformation
StaticText Read time:
StaticText 5
StaticText mintues
image, url='https://cdn.prod.website-files.com/673ea7367ab2e9ccc39a6a54/673f5ca3e90e42f5d3b53ccc_AdobeStock_985355495-p-500.jpg'
paragraph
StaticText Thirteen years ago, at a fair in Hanover, Germany, the term “Industry 4.0” entered the industrial lexicon. The timing was fitting. The HTC Evo had just launched as the first 4G phone and 30% of Americans had adopted smartphones. Digital transformation was the buzzword of the day and the vision of smart factories with autonomous, data-driven machines seemed to be only years away.
paragraph
StaticText Fast forward to today, and that vision is slowly becoming reality. Across the industry, companies are taking steps to digitize operations and unlock the potential of their data. But the path to Industry 4.0 is a spectrum - some factories deploy cutting-edge ML and others still rely on clipboards to track production.
paragraph
StaticText Over the past few months, the Dime team has spoken to dozens of manufacturing and data engineers, and here’s what we’ve learned about where the industry stands today.
heading The Current Landscape of Data Operations
strong
paragraph
StaticText The reality for many manufacturers is shaped by legacy equipment. Machines purchased decades ago often lack the sensors or connectivity to generate meaningful data, let alone feed it into modern systems. American manufacturing’s slowdown since the 1970s left many plants with infrastructure built for a different era. Yet, despite these challenges, some industries—particularly those with continuous operations like oil & gas, chemicals, and food & beverage—are much further along in their digital journeys. These companies have the most to gain from incremental improvements, where even a 1% increase in efficiency can mean millions in savings.
paragraph
StaticText In contrast, discrete manufacturers, like medical device companies with human-driven assembly stations, are often able to spot issues through observation and experience. For them, the urgency to invest in data operations isn’t as strong. As a result, the maturity of data operations varies widely across industries and even within companies.
heading Stages of Digital Transformation
strong
paragraph
StaticText Manufacturers tend to fall into one of four stages on their data operations journey:
list
listitem
ListMarker 0.
strong
StaticText Production Tracking with Basic Data Extraction
StaticText For most manufacturers, the first step is understanding what’s happening on the factory floor. In the past, whiteboards and clipboards were the go-to tools, but they’re impractical for real-time insights in a 100K+ square foot facility. Modern machine monitoring tools now fill this gap, enabling plant managers to track production remotely. Even older machines can be retrofitted with voltage sensors to estimate cycle counts. It’s not perfect, but it’s a start.
listitem
ListMarker 0.
strong
StaticText Flexible Visualizations
StaticText Companies with connected assets are finding new ways to visualize their operations. Tools like PowerBI have become invaluable, allowing manufacturing teams to create dashboards that transform raw data into actionable insights. By leveraging historians, manufacturers can track performance and identify bottlenecks. However, these tools often require the expertise of BI analysts to unlock their full potential.
listitem
ListMarker 0.
strong
StaticText Retroactive Analysis with Data Engineers
StaticText The most advanced manufacturers take things further, employing teams of data engineers to analyze historical data and identify opportunities for improvement. Moving data from on-prem historians to the cloud opens up new possibilities for analysis and optimization. For companies running 24/7 operations, even small improvements in yield or uptime can have a massive impact on the bottom line.
listitem
ListMarker 0.
strong
StaticText Automated Real-Time Optimization
StaticText
StaticText At the top of the pyramid are companies that have mastered their infrastructure and are deploying machine learning models in real time either natively in their control systems or utilizing technology like OPC UA. These teams can extract actionable insights in real-time, enabling immediate adjustments through closed feedback loops integrated directly into control systems. While this level of sophistication remains rare, it sets the standard for what’s possible and offer a glimpse into the future for manufacturers with the resources to invest.
heading The Problem with the Status Quo
strong
paragraph
StaticText Despite the progress, most manufacturers are locked out of advanced data operations. The cost of integration for top-end platforms can run into the millions, and hiring the specialized talent to make sense of the data adds an ongoing operating expense. This creates a gulf between the largest players, who have the resources to innovate, and everyone else, who are left behind.
heading Can GenAI Actually Help?
strong
paragraph
StaticText This is where GenAI has the potential to change everything. By automating complex data transformations, it can drastically reduce the time and cost of integrating advanced tools. More importantly, it can democratize access to insights. With innovations like text-to-SQL and context-based query generation, manufacturing and process engineers can interact with their data directly—no data science team required.
paragraph
StaticText At Dime, we’re building tools to make this vision a reality. Our platform bridges the gap, enabling manufacturers of all sizes to extract value from their data without breaking the bank.
paragraph
StaticText The dream of Industry 4.0 was never just about technology. It’s about creating a future where every manufacturer—big or small—can run smarter, leaner, and more connected operations.
paragraph
StaticText Ready to unlock the potential of your data?
link Schedule a demo, url='https://calendly.com/ashish-dime/30min'
StaticText and let’s explore how Dime can empower your operations.
StaticText Share to
[95] link, center=(1378,247), url='https://www.facebook.com/sharer/sharer.php?u=https%3A%2F%2Fwww.getdime.io%2Fblog%2Fdime-blog%2Fdata-ops'
image
[98] link, center=(1438,247), url='https://www.linkedin.com/sharing/share-offsite/?url=https%3A%2F%2Fwww.getdime.io%2Fblog%2Fdime-blog%2Fdata-ops'
image
[101] link, center=(1498,247), url='https://twitter.com/intent/post/?url=https%3A%2F%2Fwww.getdime.io%2Fblog%2Fdime-blog%2Fdata-ops&text=Dime'
image
[104] link, center=(1558,247), url='https://www.getdime.io/blog/dime-blog/data-ops#'
image
image, url='https://cdn.prod.website-files.com/673ea7367ab2e9ccc39a6a54/673f57a50bb3d327ae379ffd_Bajaj_Ashish_161-Pilot-0237-2658-Edit_Bookface-p-500.jpg'
StaticText Ashish Bajaj
StaticText November 25, 2024
contentinfo
link, url='https://www.getdime.io/'
image, url='https://cdn.prod.website-files.com/671158186360e33acd80ae09/671161c38a44fc343c0247de_path17.avif'
StaticText Join our newsletter to stay up to date on features and releases.
StaticText Follow us
link, url='https://www.getdime.io/blog/dime-blog/data-ops#'
image
link, url='https://www.linkedin.com/company/dime-manufacturing/'
image
form Email Form
textbox Enter your email, required
button Subscribe
StaticText By subscribing you agree to with our
link Privacy Policy, url='https://www.getdime.io/blog/dime-blog/data-ops#'
StaticText and provide consent to receive updates from our company.
StaticText © 2024 Dime Procurement, Inc. All rights reserved.
link Privacy Policy, url='https://www.getdime.io/blog/dime-blog/data-ops#'
link Terms of Service, url='https://www.getdime.io/blog/dime-blog/data-ops#'
link Cookie Settings, url='https://www.getdime.io/blog/dime-blog/data-ops#'
Reasoning for action: The 'Book a demo' link is critical for fulfilling the user story, as it directly leads to scheduling a product demonstration. By clicking this link, I am taking a step towards allowing the potential customer to see the options available for booking a demo. This action is necessary to transition from reading industry insights to engaging with Dime's offerings, thereby advancing the user's objective of understanding how Dime's solutions can meet their business needs.
Action: click(29) # Click on the 'Book a demo' link to explore scheduling a demo.
Change Description: The focus shifted to the 'Book a demo' link in the navigation menu, indicating a selection of this option while all other website elements remained unchanged.
Screenshot before:Screenshot after:---