DataOpsfor Power Generation
Manage architecture complexity& enable scale for digital applications

DataOps for Power
Generation
Manage architecture complexity& enable scale for digital applications

Table of contents
DataOps for Power Generation........................................................................................................ pg. 3
Introduction................................................................................................................................ pg. 3
The opportunity.......................................................................................................................... pg. 3
The challenges........................................................................................................................... pg. 4
The solution....................................................................................................................................... pg. 5		
Liberate your data with DataOps and contextualization........................................................ pg. 5
Cognite delivers DataOps & contextualization through Cognite Data Fusion®.................... pg. 5
Cognite Data Fusion® benefits.................................................................................................. pg. 5
Cognite Data Fusion® stands apart from other data management vendors........................ pg. 5
Cognite Data Fusion® is already delivering real value to industrial customers..................... pg. 6

About Cognite©COGNITE 2023 — COGNITE.COM2

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 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 →DataOps for power generation
Introduction

3. Smart automation

Use case pipeline

Digital transformation in the power industry is not a
new concept. For decades, ideas, technology, andresources have poured into digital programs aimed
at curtailing the impending pressures caused bydecreasing demand, decarbonization, and decentralization of power generation sources. This has
resulted in a proliferation of new industrial data thatis distributed across organizations and sites, but
only truly valuable with contextualization and theproper transformations.

■ Robotic inspection for critical infrastructure■ Inventory management■ Work order generation

2. Workflow optimization■ Production & maintenance planning■ 3D risk modeling for O&M, HSE■ Anomaly detection & management

1. Data operationalization■ Work order management/digital worker■ Knowledge capture & distribution■ System-specific condition monitoring■ Asset health & risk monitoring■ Automated KPI aggregation & reporting■ Drawing digitization of P&ID, diagrams

WHY COGNITE DATA FUSION® →Physical models, digital twins,machine learning, OCR, NLP

Advanced data science,logistical models

Tech stack■ Improving power forecasting and trading decisions■ Maximizing operational visibility across sites/regions■ Streamlining maintenance planning and wrenchtime

The individual applications that serve these larger
objectives are widespread and can be tiered into

BENEFITS FOR YOUR TEAMS →CONTACT SALES →three progressive categories of value to the organization ▲.

¹ Unlocking the value of digital operations in electric-power generation, McKinsey & Company, October 2019.

3In light of rapidly aging assets and an experienced
operational workforce that is leaving the field, CDOs,
Operations, IT, and Citizen Data Scientists are focusing their attention on high value applications thatmaximize operational potential and longevity while
reducing costs. Through a targeted deploymentof technolgy enabled operations, such as workflow optimization, condition-based maintenance,
process digitization, and agile working, utilities
can increase plant efficiency (heat rate) by up to 3percent, reduce the average all-in cost of generation (excluding fuel) by 10 to 20 percent for coal and
5 to 15 percent for gas, all while improving safety¹.

Data extraction, pipelining, access,contextualization, delivery©COGNITE 2023 — COGNITE.COM

The opportunity

The challenges

Challenges with traditional data architectures

More data silos
created due tovendor lock-in

2Eroded trustin data quality& consistency

3

Human costs
outpacingefficiency gains

4

Long timelines
for modeldevelopment

5

Data usagebarriers scaling withdigital investments

WHY COGNITE DATA FUSION® →BENEFITS FOR YOUR TEAMS →CONTACT SALES →B

Inefficient data sources
and licensing

Ineffective cross-compatibilityof systems

Decreasing qualityof analytics

Apps that are created
but not used

Data scientists spend 80%of their time looking for data

More data managers required
and provisioned

Models are staleby the time they reach
deployment

Few actual deploymentswith significant
maintenance overhead

No good platformthat integrates OT & ITsystems at scale

Complexity is carriedforwards via bespoke apps

4

These challenges are born out of data architectures that were fundamentally designed for point
solutions and not with an open, holistic view thatenables data utilization, prototyping, and rapid
iteration for a growing portfolio of internal (DataScientists, SMEs, Analysts) and external (SystemIntegrators, Application Developers) stakeholders.
The good news? Inflexible data architectures canbe fixed with DataOps and Contextualization.

1A©COGNITE 2023 — COGNITE.COM

However, with so much value potential and theeagerness to explore advanced analytics, AI, andmachine learning, industrial data architectureshave become increasingly complex, unable to serve
data consumers in a dynamic, scalable, and repeatable way. This leads to stalled digital transformation efforts, cost overruns, and inefficient use ofhuman resources, which manifest themselves in
the following ways ►.The solution
The goal of DataOps is to create predictabledelivery and change management of data, data
models and related artifacts.

The fastest path to returning value starts withgetting the right data to the right user with theright context for the right problem at the righttime. Said another way, with proper DataOps, yourdata becomes searchable and easily accessible fordevelopers, data scientists, and third-party applications.

A collaborative data management practicefocused on improving the communication, integration and automation of data flows between
data managers and consumers across an organization.

The secret to successful DataOps programs lies
in investing in data contextualization. It is in thislayer of the stack where meaningful relationships between data sources and types are established. This enables nonsubject-matter experts
to be able to use that data for their projects. For
example, turbine sensor tags and hierarchy may
not make sense to analysts outside of the maintenance domain, but with proper context andmapping to P&IDs, the information becomes intuitive to nontechnical users for rapid application andmodel development at scale.

ized data from both OT and IT data sources
across their organization. This empowers
users to leverage AI & ML toolkits and low-code
development frameworks to scale projects
that are already in place or dramatically reduce
the overhead and services required for newones and quickly bring business value back totheir organizations.

3. Accelerates app development and time to value
with a robust data model

LEARN MORE →Cognite Data Fusion® stands apartfrom other data management vendors

Cognite Data Fusion® benefits

Cognite delivers DataOps & contextualization through Cognite Data Fusion®

1. Expands the breadth of applications that can be
developed internally or with partners

Born from industry, Cognite offers Cognite
Data Fusion® to support data consumers withhighly accessible, relevant, and contextual-

2. Empowers internal development teams with
self-service APIs & SDKs

■ IT & OT Data Contextualization■ 3D & Unstructured Data■ Open Frameworks & Toolboxes■ Hybrid AI■ Digital End-to-End Solutions■ Performance and Scale

WHY COGNITE DATA FUSION® →BENEFITS FOR YOUR TEAMS →CONTACT SALES →DataOps uses technology to automate datadelivery with the appropriate levels of security,
quality and metadata to improve the use andvalue of data in a dynamic environment.

4. Expands app lifecycle and sustainability with richdata pipelining and aggregation
5. Democratizes embedded subjectmatter expertise with data access and contextualization

5What is DataOps?

©COGNITE 2023 — COGNITE.COM

Liberate your data with DataOps
and contextualization

Cognite Data Fusion® is alreadydelivering real value to industrial
customers
Case 1: DataOps enabled Hafslund Eco to optimize
turbine startup sequences, reducing downtime
and enabling a more efficient response to fluctuating grid demand.
READ MORE →Case 2: Cognite Data Fusion® contextualized operational data from four different Aker BP source
systems into a unified dashboard, saving 15 hours
weekly on maintenance review of critical equipment.

©COGNITE 2023 — COGNITE.COM

6READ MORE →WHY COGNITE DATA FUSION® →BENEFITS FOR YOUR TEAMS →CONTACT SALES →Want to know more about our product?

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ANALYST REPORTBLOG

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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.

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subject matter expert.

7

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