Data-Driven Production
Optimization:
Maximize production
with Industrial DataOps and AI

Data-Driven
Production
Optimization:
Maximize production
with Industrial DataOps and AI

Table of contents
Introduction....................................................................................................................................... pg. 3
Cognite Data Fusion®........................................................................................................................ pg. 4
Cognite Data Fusion® at a glance............................................................................................. pg. 5
Cognite’s approach to production optimization............................................................................. pg. 8
Turn data into insights............................................................................................................... pg. 8
Turn insights into actionable advice......................................................................................... pg. 8
Automate workflows.................................................................................................................. pg. 9
Cognite BestDay................................................................................................................................ pg. 10
OMV and Cognite deploy BestDay............................................................................................ pg. 11
Cognite Data Fusion® in action........................................................................................................ pg. 12
How Aker BP is taking a hybrid AI approach to optimizing production................................... pg. 12
How Aarbakke and Cognite are extending the lifetime of CNC machines............................ pg. 13
How Cognite Data Fusion® speeds up the power grid connection process......................... pg. 14
Conclusion......................................................................................................................................... pg. 16

2

Cognite is a global industrial SaaS company that
supports the full-scale digital transformation ofasset-heavy industries around the world. Our core
Industrial DataOps platform, Cognite Data Fusion®,enables data and domain users to collaborate toquickly and safely develop, operationalize, andscale industrial AI solutions and applications.

©COGNITE 2023 — COGNITE.COM

About Cognite

Cognite Data Fusion® codifies industrial domain
knowledge into software that fits into your existing
ecosystem and enables scale from proofs ofconcepts to truly data-driven operations to deliver
both profitability and sustainability.
WHY COGNITE DATA FUSION® →BENEFITS FOR YOUR TEAMS →CONTACT SALES →Introduction

This overarching data problem is holding back thetransformation of asset-heavy industries such as
oil and gas, power and utilities, and manufacturing,
preventing them from optimizing production andcutting emissions.
■ Siloed data limits the potential of organizations
to understand their past, present, and future.
■ Creating new solutions is cumbersome for data
and analytics teams and takes too long.
■ Successful proofs of concept rarely scale toproduction, wasting time and money.

■ Smaller, stand-alone solutions become new datasilos, further complicating digitalization efforts.
■ Once a solution is in production, it is hard to maintain and can become untrustworthy to its users.

Industrial data operations (DataOps) can help
industrial companies break down their silos andmake their data broadly available and usable, andready to power artificial intelligence (AI) models
that—in combination with physics-based modelingand human expertise—optimize production.
Reach your maximum production capacity with
Cognite Data Fusion®, the leading Industrial DataOps platform.

What is data-driven production optimization?
Production performance managed bycontext-enriched content, machine learning, and data-based physics models working
to increase plant efficiency and optimizing
day-to-day production via a holistic, datadriven, and objective view of real-time data
across assets.
■ Process debottlenecking: Actions toincrease production capacity by process
debottlenecking.
■ Production deferral mitigation: Actions
to reduce production deferrals and close
the gap between production capacity andactual production.

©COGNITE 2023 — COGNITE.COM■ Product quality prediction: Actions to identify root causes of potential quality issues
during the production process.

3

Few companies have successfully scaled datadriven production optimization. Of the many obstacles they face, one stands out: a lack of accessible,
meaningful, and dependable industrial data.

WHY COGNITE DATA FUSION® →BENEFITS FOR YOUR TEAMS →CONTACT SALES →Cognite Data Fusion®
The value of industrial data, liberated and contextualized by a new generation of software solutions, iswidely recognized. The willingness to share, open,
and digest data is catching on across asset-heavy
industries. And adopting industrial software, digital tools, robotics, and new, agile ways of work is
gaining ground.
The foundation for the necessary, sustainable reinvention of industry is here. Required now, and at
scale, are the know-how, the technology, and thetools to transform.
The software to do this transformational work for
asset-heavy industries is Cognite Data Fusion®.

With Cognite Data Fusion®, organizations
can achieve record time to value

90%

50%

10−25xLess time spentfinding data

Less time spent
making sense of data

Faster solution
deployment

WATCH A WALKTHROUGH OF THE COGNITE DATA FUSION® ARCHITECTURE →Cognite Data Fusion® is an Industrial DataOps platform that facilitates data and AI workflows, givingorganizations trusted data to build solutions andapplications with speed at scale.

WHY COGNITE DATA FUSION® →BENEFITS FOR YOUR TEAMS →CONTACT SALES →“DataOps is the ability to enable solutions,develop data products, and activate data forbusiness value across all technology tiers from
infrastructure to experience.”©COGNITE 2023 — COGNITE.COM“DataOps is a collaborative data management
practice focused on improving the communication, integration, and automation of data flows
between data managers and data consumers
across an organization.”

4

What is Industrial DataOps?

Cognite Data Fusion®:⇢ Makes industrial data available. The fastest
path to tapping into the value potential of digitalization in industry starts with getting the right datawith the right context to the right users at the righttime for the right problem.
Cognite Data Fusion® eliminates the time spent
on manual data contextualization, offline data
discovery, data ingestion, developing a hosting
environment, and preparing application data for
application consumption.

⇢ Makes industrial data usable. Industrial data
becomes truly useful when it is integrated, contextualized, and made securely available, explorable,
and actionable to all data consumers—humanand machine—within and outside the industrial
enterprise. This should encompass all the various sources and formats, including sensor data,process diagrams, 3D models, event histories,
asset models, and unstructured documents.

optimal decision-making, empowering operators totake action with confidence. This, in a nutshell, is
what is meant by operationalizing data into production for value.
Cognite Data Fusion® codifies industrial domain
knowledge into Industrial DataOps software thathelps industrial operations draw insights from theirdata, unlock opportunities in real time, and scale
solutions effortlessly.

Asset-heavy industries need to optimize production, improve product quality, and reduce
unplanned downtime by generating more value
from their data. Cognite Data Fusion® tackles themost difficult industrial data challenges to provide
open, contextualized data for organizations.

5©COGNITE 2023 — COGNITE.COM⇢ Makes industrial data valuable. Extracting maximum value from data relies on being able to apply
advanced models to produce insights that inform
BENEFITS FOR YOUR TEAMS →Cognite Data Fusion® provides DataOps at scale forindustry, making industrial data accessible, understandable, and useful for data scientists and developers. Cognite Data Fusion® unlocks use cases forindustrial data by providing:Cognite Data Fusion® at a glance

Cognite Data Fusion® enables data and domainusers to collaborate to quickly and safely develop,
operationalize, and scale industrial AI solutions andapplications to production.

WHY COGNITE DATA FUSION® →Industrial data challenges

CONTACT SALES →The machine learning contextualization
services in Cognite Data Fusion® create relationships between siloed data such as timeseries, ERP and work orders, tabular data, IoT
logs, events, 3D, and photogrammetry.

Scalable data model

Use templates to scale successful proofs ofconcept across an entire class of equipment
or assets.
Reuse the contextualized data model tosolve many use cases from the same model.

WHY COGNITE DATA FUSION® →BENEFITS FOR YOUR TEAMS →Known data quality

Open standards enable easy integration withwidely adopted applications and developer
tools.

Manage data quality on a use case basis toensure recommended actions are valid andtrustworthy.

Developer-friendly SDKs and APIs further
enhance connectivity.

Use prebuilt rules and create new rules withan available logic engine as needed.

Live data access

Combine live operational (OT) data withsimulation or historical data to create hybrid
AI models that can address use cases in
production optimization or quality.

CONTACT SALES →Complete data spectrum

Integrate and contextualize unstructured
data to enhance asset and process visibility:■ Robotics to support monitoring andinspection■ Computer vision managing environmental
conditions■ Digitize analog signals to support data
models6

Open application architecture©COGNITE 2023 — COGNITE.COM

Data in context

Cognite Data Fusion® benefits:

Physics-driven modelingand simulations■ Expand the breadth of applications and accelerate development time with a robust data model■ Empower internal development teams with
self-service open APIs and SDKs
■ Combine your organization’s knowledge with
Cognite’s domain talent and proven partner
network

Hybrid AI■ Democratize embedded subject-matter expertise with data access and contextualization

Unique to industrial reality

Cognite Data Fusion® enables hybrid AI

Data-driven
machine learning

READ MORE ABOUT
COGNITE DATA FUSION® →©COGNITE 2023 — COGNITE.COM

7

Hybrid AI combines physics-based models andsimulations with artificial intelligence to create
robust solutions with a high degree of confidence.

WHY COGNITE DATA FUSION® →BENEFITS FOR YOUR TEAMS →CONTACT SALES →Cognite’s approach to production optimization
Cognite has found that data-driven production
optimization use cases tend to fall into three categories. ►Automate workflows
Integrate models directly withselected systems to trigger
automatic actions.

Turn data into insights

Teams can plug their preferred visualization applications, such as Grafana, Plotly, and Microsoft
Power BI, into Cognite Data Fusion® and immediately begin to explore and interpret the information
via automated dashboards. This enables them tomake more insightful, qualified decisions basedon all the available data.
As users succeed with these dashboards, they canshare them with colleagues and other authorizedthird parties, both internally and externally where
necessary, allowing everyone to understand operations and make decisions based on the same data.

WHY COGNITE DATA FUSION® →BENEFITS FOR YOUR TEAMS →Turn data into insights

Enrich the existing data andcreate recommendation models
with actionable advice.

Visualize existing data and put it
into context.

From single implementations ofknown equations to anomaly
detection and machine learning.

Users interpret information via
graphs, dashboards, and more,
and make qualified decisions
based on available data.

Humans evaluate the output andmake qualified decisions basedon the recommendations.

Quick visualizations also offer an easy entry point
for data science development. Engineers can use
visualization and analysis tools to create synthetic
time series and test both the data and the system.
It doesn’t require complex software development ordata science training to do complex, offline calculations. Everything is available live in a few clicks.

CONTACT SALES →Closed-loop integrations with
operations teams conditionallyintervening and responding basedon business needs.

Turn insights into actionable advice
After straightforward visualization of data, thequickest path to value is the receipt of actionableadvice from industrial applications. This is about
informing users about the status of their operations
and suggesting measures in response. Users bring
their own expertise to the table, supplemented by adata-driven overview and the ability to interrogate
the data more deeply before taking any action.

8

While this data has been available somewhere allalong, Cognite Data Fusion® brings it together in
one place, connected in a way that mirrors theoperational reality, and makes it meaningful tothose users.

Turn insights into
actionable advice©COGNITE 2023 — COGNITE.COM

Organizations can achieve instant value by giving
teams the chance to visualize their data in its
newly enriched context.

By giving experts the ability to evaluate the output
and make qualified decisions, organizations realize several benefits: first, the empowerment of theemployees to do their jobs more precisely basedon data and, second, the enrichment of the accumulating, living data set based on the data thoseinsightful decisions generate and feed back into
Cognite Data Fusion®.
In data-driven production optimization use cases,
this could mean common data analytics and statistical methods. It could also mean hybrid AI, which
combines the “glass box” interpretability androbust mathematical foundation of physics-basedmodeling with the pattern recognition and capability and scalability of machine learning.
This is how we use technology to move beyond anengineer’s gut reaction to a data-driven response.
When the data is available and structured in therelevant context, applications can tell engineers
what to look at first.

controllers in separators and other tanks. A moreadvanced example would be automatic startup
after a shutdown. This involves the startup of all
the individual assets in the optimal sequence suchthat maximal and stable production is achieved as
fast as possible without tripping the plant in theprocess. Additionally, physical process simulations
used to plan or troubleshoot production could be
automatized in a data pipeline running on a schedule or every time the process parameters change
significantly.
The possibility of fully automated control will only
expand as technology advances. Cognite Data
Fusion® can act as the data source for the development and retuning of fully automated models
that will be implemented using on-premises data
sources in the field.

9

Automate workflows©COGNITE 2023 — COGNITE.COM

This is the big goal: fully automated operations, soclosely attached to data that software can continuously monitor and adjust based on real-time conditions and without human action.
Today, many assets have implemented some level ofautomated control. Simple examples include level
WHY COGNITE DATA FUSION® →BENEFITS FOR YOUR TEAMS →CONTACT SALES →Cognite BestDay

Jointly developed and tested with the Austrian
multinational integrated oil, gas, and petrochemical company OMV, BestDay helps companies raise
their maximum production capacity by providing
real-time organizational visibility on all important
aspects of production.

Know their actual production. Real-time accessand monitoring in BestDay enabled by Cognite
Data Fusion® automates processing, contextualization, and visualization of actual production
across hierarchy levels, tying in output from virtual
flow meters where real-time metering is not available.

0.5-1.5%

1,000sIncreasedthroughput

Engineering
hours saved
per year

WATCH COGNITE BESTDAY IN ACTION →BestDay targets the full production performance
management process, helping companies:

WHY COGNITE DATA FUSION® →BENEFITS FOR YOUR TEAMS →Detect deviations. BestDay's deviation detection AI models provide a real-time view of the mostcritical tasks, enabling timely and efficient decision-making. This provides the data foundation todrive continuous improvements across planningand execution, and fosters enhanced collaboration
and better decision-making that in turn will reducethe volumes of losses.
Identify root causes. BestDay acts as the central
hub for troubleshooting and root cause identification across disciplines and shifts through accessto real-time sensor data, deferments, custom
CONTACT SALES →production advisors (such as a Grafana dashboard,a spreadsheet on a shared drive, a custom data
science solution, or any other web-based solution),and a toolbox for manual root cause analysis andtime series calculations.
Mitigate deviations and log production deferments. BestDay enables operations teams to identify and reduce the duration and impact of dynamic
deviations, and gather the data needed to analyze
patterns in performance over time. This drives up
the efficiency of operations and lets experts taketargeted improvement actions in areas with thehighest estimated return on investment.
Achieve a step change in risk management. Dueto the modular design of BestDay, companies candefine specific production criteria for safe operations and key performance indicators (KPIs) withinsustainability such as energy efficiency, chemical use, emissions, and more. Both the production
criteria and the KPIs are incorporated into BestDay’s data-driven AI models as conditions that can’t
be broken. This ensures that environmental safety
becomes embedded in operations and ways ofworking.
LEARN MORE ABOUT COGNITE BESTDAY →10

Know their capacity. BestDay uses a data-driven
AI model that calculates tomorrow’s potential
based on historical performance and configurable
production constraints or criterias, baking in therequirements for safe, sustainable, efficient, andhigh-quality production. The model can be tuned
with subject-matter experts for their production
assets, enabling efficient benchmarking of theperformance across a larger production portfolio.

©COGNITE 2023 — COGNITE.COM

Cognite has developed a suite of software as aservice (SaaS) applications that showcase thepower of contextualized data in Cognite Data
Fusion®. For production optimization in the oiland gas industry, Cognite offers BestDay, which
provides a framework that enables companies tocontinuously and objectively evaluate their optimization potential and bottlenecks through datadriven workflows.

OMV and Cognite deploy BestDay
In 2021, OMV and Cognite began rolling out BestDay, starting with the oldest oil giant of Austria:
the Matzen oil field. At 93% production efficiency,
the mature field with 800 active wells was alreadya top performer, but BestDay will take the field tothe next level in terms of production efficiency, 70
years after first oil.
The resulting production gain for the Matzen fieldis estimated at 0.3-0.5% per year above the current
production profile. BestDay is also estimated tosave 10,000 hours per year in engineering time. This
example shows the potential of using digital tools
to unlock new value from industrial sites that havebeen in operation for decades.
BestDay’s full potential is estimated to drive a
production efficiency gain of up to 1.5% (for an average production hub of 26,000 barrels per day), an
increase worth about $7 million a year.

©COGNITE 2023 — COGNITE.COM

11“Rolling out the application in fields with a production history ensures that we can actually backcalculate the performance increases. Since wealready have all our assets integrated in Cognite
Data Fusion, the marginal cost of scaling is negligible.”
Philipp Tippel, Vice Presidentof Global Production, OMV

WHY COGNITE DATA FUSION® →BENEFITS FOR YOUR TEAMS →CONTACT SALES →Cognite Data Fusion® in action
How Aker BP is taking a hybrid AI approachto optimizing production
Challenge: Produced water disposal is one of many
challenges at oil and gas facilities with high watercut wells. Keeping the oil contamination level inthe produced water below environmental limits
requires an efficient separation process. Obtaining
produced water that meets environmental regulations requires an efficient separation process,which is governed by a series of complex physicalinteractions.

$6M

Estimated annual savings
and reduced production
lossesReduces time needed
to identify bad actors
behind high oil-in-waterlevelsSecures regulatorycompliance and prevents
environmental incidents

Significant production losses are associated withsituations with high oil-in-water levels, because
safely discharging water to the sea requires slowing down production while troubleshooting for bad
actors at the facility.

©COGNITE 2023 — COGNITE.COM

12

To identify what could be causing a high oil-in-water
concentration, operators often take spot sample
measurements at different parts of the production
facility and then perform mitigating actions oncethe bad actor is located.
Operators rarely have much information to determine where to start the search, however, which
can make finding the bad actor a time-consuming
process.

WHY COGNITE DATA FUSION® →BENEFITS FOR YOUR TEAMS →CONTACT SALES →The recommender system is based on a machinelearning model fed with live data from Cognite Data
Fusion®. The model, which is trained to predict
oil-in-water concentrations based on historical
data from approximately 200 physical sensors
from production wells and equipment relevant toproduced water, determines an importance associated with each parameter or property in the
production facility. This in turn can be used to identify bad actors related to water contamination.
In addition to the 200 physical sensor values, themodel is also fed values from approximately 100
virtual sensors. One example is how data frompressure and temperature sensors is converted
to fluid properties by applying the laws of thermodynamics and information about the fluid composition. Finally, the model also considers virtual sensor
values obtained from multiphase flow simulators
WHY COGNITE DATA FUSION® →BENEFITS FOR YOUR TEAMS →Impact: The smart monitoring system gives engineers the ability to troubleshoot issues related towater contamination in a single dashboard, increasing their situational awareness. This allows users totake informed actions based on the available dataand solve problems faster. When the proposed
recommender system is in place, it will be an integral part of the monitoring system that will highlight which parts of the production facilities may be
important to the current oil-in-water concentration.
This serves as a starting point for investigating
the problem, and is a significantly faster approach
to identifying mitigating actions related to watercontamination. Aker BP estimates that decreasing
the time spent finding mitigating actions has anannual revenue potential of $6 million. The system
could also have a net positive environmental impact.

How Aarbakke and Cognite areextending the lifetime of CNC machines

Challenge: Aarbakke has dozens of computer
numerical control (CNC) machines at its factory in
Bryne, Norway. The machines complete complex
operations on sometimes rare materials to achieve
the highly precise product requirements that
Aarbakke’s customers in the oil and gas industry
demand.
Historically, the CNC machines have sometimes
been unknowingly operated in a suboptimal way,
and there have been no alerts or warnings prior tothem breaking down. Issues include high temperatures in coolants or oils, which lead to wear andtear; wrong pH and salinity in the coolant, which
can cause corrosion or bacterial or fungal growth;
incorrect lube oil consumption; and missed maintenance on the machines.
Aarbakke lacked a master log of these machine
alarms, as well as a system to filter out less criticalones. Service managers previously depended on
operators to send them a note every time a criticalissue occurred. Otherwise the service managers
needed to physically go to each individual machine
and manually pull a local log to view the alarms.
13

The smart monitoring system displays near realtime data from Cognite Data Fusion®, visualizing
it in an intuitive Grafana dashboard. Additionally,
calculations combining sensor values and simulator outputs provide engineers with virtual sensors
and physical properties they otherwise would nothave had readily available.

such as flow rates from individual wells.

20-30%

Reduced service costs

CONTACT SALES →Reduced downtime
and unplanned stops

Timely alerts orderedby priority©COGNITE 2023 — COGNITE.COM

Solution: Aker BP, Expert Analytics, and Cognite
have implemented a smart monitoring system thatvisualizes all data relevant for troubleshooting watercontamination and a recommender system with anunderlying machine learning model to identify bad
actors related to high oil-in-water concentrations.

Aarbakke and Cognite plan to add more functionality to the dashboard in the future, including afeature that lets service managers assign levelsof criticality to alarms, ensuring that the alarms
they deem most important will always be featured
at the top of the list.
Impact: Improved monitoring of operational parameters and the ability to look at records of alarms andwarnings centrally will reduce the number of breakdowns and extend the lifetime of the machines.
Beyond that, collecting cleaned, contextualized
data about alarms will help drive Aarbakke toward
a future in which the company can predict potential failures before they happen.
Aarbakke estimates that the dashboard will cut
service costs by 20-30%, reduce downtime, andavoid unplanned stops due to mechanical reasons.

$1.2M

Estimated annual valueLess time spentcollecting & cleaning data

Challenge: To meet the needs of an increasingly
electrified society and accelerate the shift toward
renewable energy, grid operators need to be able
to connect new power generation systems andconsumers to the grid in a safe and efficient manner.
To process grid connection applications, grid operators conduct feasibility and impact studies todetermine whether or not the grid, as currently
constructed, can handle the additional load. If not,the network will need to be upgraded.
These studies are time-consuming analytical tasks. Grid operators often need to examine
several years’ worth of historical data to review how
the grid has changed over time. They also need
to be able to look into the future to see how one
application to connect to the grid may affect otherapplications that are being processed, and how it
might interfere with other planned work on the grid.
Much of this process involves gathering infor-

WHY COGNITE DATA FUSION® →BENEFITS FOR YOUR TEAMS →CONTACT SALES →mation from different systems. That may include
customer information, sensor data from the power
grid, information about how other grid connection

Assets connect
to the grid faster

applications are progressing, and more.
Some grid operators have found that as muchas half of the time it takes them to process a gridconnection application is spent gathering andcleaning data. This, combined with the growth inrenewable energy companies looking to connect
their assets to the grid, means that it is not uncommon for grid operators to have a backlog of applications.
Solution: Statnett, the Norwegian transmission
system operator, worked with Cognite to liberate
information from its source systems, including
operational statuses, disconnections, generation capacities, and sensor data, and ingest it into
Cognite Data Fusion®.
After the different data sets were structured incontext with one another, the development teamcreated an easy-to-use application that helps Statnett's analysts explore the contextualized data.

14

With all data streaming from one place, the developers then created a dashboard that shows an
overview of all alarms but also groups alarms bymachine and issue. This helps service engineers
pinpoint specific issues and machines and taketargeted maintenance actions to address them.

How Cognite Data Fusion® speeds up thepower grid connection process©COGNITE 2023 — COGNITE.COM

Solution: Aarbakke and Cognite first liberated data
about machine alarms from its source system,
ingesting it into Cognite Data Fusion®.

The application enables users to quickly navigate
through different assets on the grid and easily lookup information on load, capacities, and disconnections, which can then be visualized or prepared forfurther analysis.
Impact: With all the relevant information needed toprocess grid connection applications accessible
in one location, grid operators can more efficiently
add new power sources and consumers to the grid.
This benefits both the grid operator and society ingeneral.

©COGNITE 2023 — COGNITE.COM

15

Statnett estimates that improving how itprocesses applications is worth an estimated $1.2
million a year. Half of this figure is related to the grid
operator’s own efficiency gains, as its analysts nolonger have to collect and clean data from different
systems; the other half, societal benefits createdby reducing the time it takes to connect to the grid.
The latter figure is difficult to estimate exactly, anddepends heavily on the type of player wanting toconnect to the grid. In cases of heavy industry
or large power generation facilities experiencing
delays in grid connection, the number can easily
be many times higher.

WHY COGNITE DATA FUSION® →BENEFITS FOR YOUR TEAMS →CONTACT SALES →Conclusion
From automation and an aging workforce to electrification and the energy transition, the challenges facing asset-heavy industries are complex.
Production optimization must be part of industry’splans to succeed in the future, whether the asset
that needs to be optimized is a well, a factory, or an
entire power grid.

Optimizing production means more than justincreasing quantity. By breaking down their silos
and making their data broadly available and usable,companies in asset-heavy industries can also makesafety and sustainability—in other words, quality—
part of the formula for the future of industrial operations.

Tackling these challenges starts with getting theright data with the right context to the right users
at the right time for the right problem. Industrial
DataOps can help companies take control of theiroperational data to make it accessible, meaningful, and dependable.

Reach your maximum production capacity with
Cognite Data Fusion®, the leading Industrial DataOps platform.

Giving people at every level of the production teamaccess to data in the most intuitive format achieves
three things:■ It increases the efficiency and efficacy of theengineers’ daily tasks, resulting in maximized
throughput.

©COGNITE 2023 — COGNITE.COM

16■ It supports the ongoing organizational transition
to more dynamic, data-driven ways of working.
■ It inspires experts to find new ways to use data,
algorithms, and software to solve problems andshape the future of their companies and industries.

WHY COGNITE DATA FUSION® →BENEFITS FOR YOUR TEAMS →CONTACT SALES →Want to know more about our product?

Explore more insights from Cognite

ANALYST REPORT

BLOG

Discover how Cognite Data Fusion®
makes data more accessible andmeaningful, driving insights that
unlock opportunities in real-time,
reduce costs, and improve theintegrity and sustainability of youroperations.

Customer interviews and financial
analysis reveal an ROI of 400% andtotal benefits of $21.56M over three
years for the Cognite Data Fusion®
platform.

Discover our rich catalog of industry insights and technology deep
dives.

WATCH NOW →GO TO STORIES →READ THE REPORT →READ OUR NEWEST BLOGS →©COGNITE 2023 — COGNITE.COM

Learn from Cognite customers andproduct managers how Cognite
Data Fusion® simplifies and streamlines the data experience of a
subject matter expert.

17

CUSTOMER STORIESPRODUCT TOURWHY COGNITE DATA FUSION® →BENEFITS FOR YOUR TEAMS →CONTACT SALES →COGNITE.COM →