What challenges did SEGES Innovation face before AI implementation?

Agricultural reporting relied on multiple, inconsistent data sources. Scalability and interactive reporting were problematic as data volumes expanded. Lack of a unified platform impaired decision-making for advisory services. Ensuring secure, authorized data access was required. Business users needed accurate, up-to-date data for timely advice.

What was the impact of the AI solution?

Provided a single source of truth for Danish agricultural data. Empowered business users with interactive, scalable self-service analytics. Supported better, quicker decision-making across advisory services. Enhanced governance and resilience through secure, managed cloud analytics.

Source

MicrosoftEvidence: Low25/100

SEGES Innovation delivers unified agricultural insights with interactive analytics

Use case typeAgriculture data platformUpdated Jun 13, 2026

SEGES Innovation, a subsidiary of the Danish Agriculture & Food Council, sought to provide agricultural professionals in Denmark with a unified, credible data reporting platform. The challenge stemmed from growing data volumes and fragmented reporting, affecting scalability and consistency. By implementing Power BI Embedded, SEGES Innovation developed semantic models and interactive dashboards that served as a single source of truth for agricultural data. These capabilities were integrated into a web portal, offering interactive, scalable reports for improved decision-making. The solution enables users across Denmark’s agricultural advisory sector to access tailored data visualizations and analysis, ensuring consistency and trust in business insight. Features such as object-level security, backup/restore, and seamless integration with existing infrastructure enhanced governance and resilience. Business users gained improved accessibility, interactivity, and the ability to make timely, informed decisions, creating measurable value for Denmark’s agriculture ecosystem.

Organization: SEGES Innovation
Industry: Agriculture
Location: Denmark
Published: March 2021

Reported outcomes

Strategic outcomes

Better decisions & insightProvided a single source of truthNew product / capabilityEnabled interactive self-service analyticsBetter decisions & insightSupported quicker advisory decisionsRisk & complianceEnhanced governance and resilience

Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks

Customer: SEGES Innovation
Provider: Microsoft
Maturity: Unknown
Linked source: powerbi.microsoft.com

No explicit deployment-stage evidence found.

Customer identity supportedSource describes one deploymentMaturity evidence evaluated

Primary read

Use case focus

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1Unified Data Analytics and Visualization for Agriculture

Agricultural reporting relied on multiple, inconsistent data sources.
Scalability and interactive reporting were problematic as data volumes expanded.
Lack of a unified platform impaired decision-making for advisory services.
Ensuring secure, authorized data access was required.
Business users needed accurate, up-to-date data for timely advice.

Developed a central semantic data model using Power BI Embedded.
Created interactive dashboards accessible via a web portal to unify all data.
Implemented robust security and backup systems to ensure trust and governance.
Enabled seamless migration and integration with existing systems.

Technologies

Power BI

Provided a single source of truth for Danish agricultural data.
Empowered business users with interactive, scalable self-service analytics.
Supported better, quicker decision-making across advisory services.
Enhanced governance and resilience through secure, managed cloud analytics.

Architecture

Semantic models are developed in Power BI and integrated with a web portal using Power BI Embedded, providing governance and secure, interactive dashboards. Features such as object-level security, backup/restore, and robust migration ensure resilience and compliance. The solution is presented as a SaaS cloud architecture accessible to all relevant stakeholders.

Sources & evidence1

Evidence: Low25/100Evidence strength