Metadata reference for Cognite documentation

Professional who leverages Cognite products to drive business outcomes and operational improvements.

Focuses on extracting insights from data to inform strategic decisions, optimize processes, and achieve organizational goals. Typically has domain expertise but may have limited technical background.

Technical professional responsible for the deployment, configuration, and ongoing management of Cognite environments.

Ensures system reliability, performance, and compliance while managing user access and maintaining security standards. Works closely with IT teams and manages both cloud and on-premises infrastructure.

Technical expert who designs, builds, and maintains data pipelines and infrastructure within Cognite ecosystems.

Responsible for data ingestion, transformation, and quality assurance. Bridges the gap between raw data sources and analytics-ready datasets, ensuring scalable and reliable data solutions.

Software professional who builds applications, integrations, and custom solutions using Cognite APIs and SDKs.

Creates user-facing applications, automates workflows, and extends platform capabilities. Has strong programming skills and focuses on delivering technical solutions that meet business requirements.

Specialist focused on developing and deploying artificial intelligence and machine learning solutions using Cognite’s AI capabilities.

Builds predictive models, implements knowledge mining solutions, and creates intelligent automation. Combines domain expertise with advanced analytics and AI/ML engineering skills.

Citizen developer or business analyst who creates applications and automates processes using low-code/no-code tools and platforms.

Bridges business needs with technical solutions without extensive programming knowledge. Focuses on rapid prototyping and solving immediate business challenges through configuration-based development.

Professional who transforms raw data into actionable business insights using Cognite’s analytics tools.

Creates reports, dashboards, and data models to support decision-making. Combines business acumen with analytical skills to identify trends, patterns, and opportunities for operational improvements.

Advanced analytics professional who applies statistical methods, machine learning, and domain expertise to solve complex business problems.

Conducts experiments, builds predictive models, and develops data-driven solutions using Cognite’s data science capabilities. Focuses on research, hypothesis testing, and advanced analytics.

Cybersecurity specialist responsible for implementing and maintaining security controls within Cognite environments.

Manages identity and access management, monitors threats, and ensures compliance with security policies. Balances security requirements with operational needs and user accessibility.

Strategic technical leader who designs comprehensive solutions that integrate Cognite products with existing enterprise systems.

Responsible for technical strategy, system integration patterns, and ensuring solutions meet both technical and business requirements. Provides guidance on best practices and implementation approaches.

Cognite employee or internal stakeholder who requires access to proprietary information, internal processes, or company-specific documentation.

Content targeting this audience includes internal tools, procedures, and information not intended for external users.

External organization or individual working in collaboration with Cognite, including system integrators, consultants, and technology partners.

Requires specialized knowledge about partnership programs, co-development opportunities, and integration requirements.

Executive or senior stakeholder responsible for strategic technology decisions and budget allocation.

Evaluates Cognite solutions from a business value perspective, focusing on ROI, competitive advantages, and organizational impact. May have limited technical background but strong business and industry expertise.