Delivering easier industrial data exploration
PLAYBOOK:
How to enable simple access to complex industrial data for operations teams
Operators across the heavy industry vertical are trying to use data to improve performance and increase their competitive edge. It should be simple. After all, operational data is everywhere.
However, many industrial organizations are stuck in a holding pattern when it comes to realizing value. Plenty of structured and unstructured data exists, but it isn’t trustworthy, contextualized, or accessible within the front-line employee workflows where and when it is needed most.
Subject matter experts (SMEs) need data to…
Spend less time on root-cause analysis and more time on problem-solving.
Engineers
need data to…
Track asset performance management, find and repair equipment, and prevent issues.
Managers
need data to…
Benchmark performance across equipment and sites and increase the predictability of operations.
Executives
and leaders need data to…
Improve operational excellence, analyze profitability, and improve data quality, integration, and access.
Smarter data management and generative AI (Gen AI) offer a compelling, progressive solution to the industrial data problem. Once your data has been contextualized through Cognite Data Fusion, you have almost endless possibilities to build upon that foundational data layer. Through our open API, customers can easily build their own custom apps to increase the end user experience, and even integrate other existing solutions such as Google Cloud's Gemini AI model.
By 2030, 75% of operational decisions will be made within an AI-enabled application or process, according to Gartner.
1
According to McKinsey,2 companies embracing Industry 4.0 (data, analytics, and AI/ML) can potentially unlock:
reduced machine downtime
throughput increases
forecast accuracy improvements
Let’s look at a three-stage roadmap for providing true operational data exploration and activation.
Your roadmap to data-driven operational excellence
STEP 1
STEP 2
STEP 3
STEP 1
Make data easy to explore without needing deep data expertise
USE CASE: ROOT CAUSE ANALYSIS AND TROUBLESHOOTING
PROBLEM
RCA requires many different types of structured and unstructured data, and this kind of data exploration is cumbersome due to limited data availability, poor data quality, and lack of integration. This complicates the process, leading to delays in identifying and resolving malfunctions. Consequently, operational risks rise, asset life cycle optimization is constrained, and potential value remains untapped.
OLD WAY
SMEs and analysts would undertake time-intensive data or actual physical searches to find the models in question and then create individual inspection orders for each.
NEW WAY
With AI-powered contextualization of industrial data at scale, a robust industrial canvas allows SMEs to gather all relevant data quickly using a natural language search, as well as work collaboratively across disciplines to identify the root cause of issues and implement countermeasures.
NEW WAY
Field operations are made safer and more productive with digitalized operator schedules that automatically package the data that field engineers need, including step-by-step instructions, 3D models and images, and smart checklists, viewable on any device.
OLD WAY
Field engineers must rely on past experience and whatever documentation is available or wait for the office to find and send schematics, instructions, and other data not optimized for mobile use.
PROBLEM
Manual data collection, delayed communication, and a lack of real-time insights hinder the flow of data to and from field workers and impact safety, efficiency, and overall productivity. The disconnect between on-site operations and centralized data systems can lead to inefficiencies, increased downtime, and potential safety risks.
Deliver accessible, connected, contextualized data in the office and the field
USE CASE: Increase field safety and productivity
STEP 2
NEW WAY
By connecting diverse industrial data sources for simplified, scalable, and unified access, operations managers gain the visibility they need. They can leverage cross-site KPIs, analysis, data modeling, and AI insights to inform real-time decisions that improve throughput, reliability, safety, and efficiency.
OLD WAY
Operations managers rely on site-specific data pulled at the end of shifts or after monthly reporting and manual analysis, leading to slow, reactive change. Non-standard equipment types, instrumentation, and layouts make it difficult to get an apples-to-apples comparison.
PROBLEM
Siloed IT/OT/ET data and variations in processes across distributed sites make it challenging to benchmark and analyze cross-site performance to uncover opportunities for improvement and efficiency.
Make every site operate like your best site
USE CASE: Optimize operations based on best-performing sites
STEP 3
To gain the capabilities discussed above, you need secure and trustworthy AI with unmatched data management capabilities powered by industrial knowledge graphs and industrial DataOps.
Built by industry for industry, Cognite Data Fusion® delivers simple access to complex industrial data with the most complete and intuitive industrial data exploration available. Cognite uses generative AI to enhance data onboarding, complete with lineage, quality assurance, and governance, while our unique AI architecture enables intelligent, human-language responses from a native AI Copilot.
How to solve your data problem with Cognite and Google Cloud
Put all your data in context, including data relationships and interconnections, with the flexible Cognite Industrial Knowledge Graph.
Unlock simple access to complex industrial data and increase the efficiency of industrial workflows by 10x with Cognite AI.
Liberate, operationalize, and govern complex IT/OT/ET data at unprecedented scale with Cognite Industrial DataOps.
Designed for industrial customers using Cognite, powered by Google Cloud, the infinite scalability, global availability, and zero-trust secure-by-design capabilities of the greenest public cloud available. Deliver valuable operations use cases in less time and then scale quickly — asset-to-asset and site-to-site — to unlock all three levels of your roadmap.
BEFORE COGNITE
AFTER COGNITE
Multiple software solutions for insights
Data discovery that takes hours
Isolated, siloed operational insights
Difficulty with changing data or parameters
Heavy reliance on code
Difficult-to-scale data operations
BEFORE COGNITE
One place to gather and analyze data flexibly
Generative AI that does the heavy lifting
Instant sharing of insights across stakeholders
Infinite space to innovate and expand
A true no-code experience
Limitless scale and availability
AFTER COGNITE
COGNITE:
The missing link in your digital transformation strategy
Time to value
Net present value
Return on investment
Payback period
Learn more about how Cognite can transform your operations
See Simple Access to Complex Industrial Data AI in Action
Liberate, operationalize, and govern complex IT/OT/ET data at
unprecedented scale with Cognite Industrial DataOps.
Unlock simple access to complex industrial data and increase the efficiency of industrial workflows by 10x with Cognite AI.
Put all your data in context, including data relationships and interconnections, with the flexible Cognite Industrial Knowledge Graph.
BEFORE COGNITE
AFTER COGNITE
One place to gather and analyze data flexibly
Generative AI that does the heavy lifting
Instant sharing of insights across stakeholders
Infinite space to innovate and expand
A true no-code experience
Limitless scale and availability
AFTER COGNITE
Multiple software solutions for insights
Data discovery that takes hours
Isolated, siloed operational insights
Difficulty with changing data or parameters
Heavy reliance on code
Difficult-to-scale data operations
BEFORE COGNITE