# Aer Lingus Bets on Data Fluency _Aer Lingus is building a data-fluent culture and modernizing its operations by prioritizing data foundations and empowering employees over chasing the latest AI trends._ **Published:** 2026-06-11 **Source:** https://www.startuphub.ai/ai-news/technology/2026/aer-lingus-bets-on-data-fluency --- Aer Lingus, Ireland's flag carrier, is undertaking a significant digital transformation, shifting IT spend towards a robust data foundation and fostering a culture of data fluency. This move aims to modernize its 90-year-old operations and meet the demands of a digitally savvy traveler. Modernize OperationsDriver From the article 3 mentionsThis move aims to modernize its 90-year-old operations and meet the demands of a digitally savvy traveler.Build Data FoundationCoreprioritizing data foundations and empowering employeesFrom the articleAer Lingus, Ireland's flag carrier, is undertaking a significant digital transformation, shifting IT spend towards a robust data foundation and fostering a culture of data fluency.Databricks LakehouseCoreFrom the article 2 mentionsThe airline chose the Databricks Lakehouse, a unified platform for data, analytics, and AI.Cultivate Data FluencyContextdata literacy as the cornerstone of transformationFrom the articleAer Lingus, Ireland's flag carrier, is undertaking a significant digital transformation, shifting IT spend towards a robust data foundation and fostering a culture of data fluency.Data-Driven AirlineOutcomemodernizing 90-year-old operations with dataFrom the article 5 mentionsChief Digital, Data & Transformation Officer Dave O’Donovan explained the airline’s strategy, emphasizing that understanding AI is no longer optional.leads toReal-Time InsightsEffectpower of real-time insights for decisionsFrom the article 3 mentionsCommercially, real-time insights are vital for dynamic pricing strategies on direct digital channels, optimizing load factors and maximizing yield.Experiment Agentic AIContextexperimenting with agentic AI capabilitiesPivot-Ready CultureContextbalancing innovation and strategy for agilityFrom the article 2 mentionsInstead of aiming for future-proofing, O’Donovan advises organizations to be “pivot-ready.” This involves partnering with platforms built on open standards, like the Databricks Lakehouse, offering flexibility. Chief Digital, Data & Transformation Officer Dave O’Donovan explained the airline’s strategy, emphasizing that understanding AI is no longer optional. The rapid evolution of AI necessitates strong data underpinnings; without them, AI initiatives are precarious. Aer Lingus has dedicated the past 18 months to building its platform, enhancing governance, and improving data quality, with data literacy as the cornerstone. ## Building a Modern Data Foundation Unlike competitors who may have sunk costs in older cloud tools, Aer Lingus found an advantage in its slower adoption. This allowed them to avoid write-offs and opt for a comprehensive solution. The airline chose the [Databricks Lakehouse](/ai-news/technology/2026/claude-fable-arrives-on-databricks), a unified platform for data, analytics, and AI. O’Donovan highlighted its ability to democratize data, enabling business users to query data in plain English, a critical step for scalability. The primary bottleneck in Aer Lingus’s operations is the manual extraction of data from legacy systems. These systems, while effective for their original purpose, are not suited for the current AI era. The goal is to transition from siloed data ownership to a holistic, shared asset model. ## Cultivating Data Fluency Aer Lingus has invested heavily in a “Data Literacy Academy.” O’Donovan stressed that technology alone is insufficient; teams need the skills and intuition to leverage it. The airline developed a custom curriculum, incorporating online training, workshops, and internal content, with strong top-down encouragement from leadership. The objective is to make “citizen developers” the norm within five years. This means empowering business leaders to effectively utilize data for their departments. ## The Power of Real-Time Insights In aviation, real-time data is not a luxury but a necessity. The airline’s Operations Control Center (OCC) now benefits from a unified platform that consolidates data from various operational sensors. This provides a real-time, holistic view for critical decisions, minimizing customer disruption during flight changes. Commercially, real-time insights are vital for dynamic pricing strategies on direct digital channels, optimizing load factors and maximizing yield. This agility is a significant competitive advantage for the airline. ## Experimenting with Agentic AI Aer Lingus is exploring AI agents, starting with business case development. The vision includes an agent to assist in drafting cases and a “CFO agent” to anticipate and address potential financial questions, thereby stress-testing proposals before formal reviews. ## Balancing Innovation and Strategy O’Donovan advocates a 75/25 rule: 75% of capacity focuses on long-term foundational strategy, ensuring data quality and governance, while 25% is dedicated to innovation and rapid value delivery. A dedicated “Continuous Improvement” team works across departments to make processes “AI-ready.” ## Pivot-Ready Culture Instead of aiming for future-proofing, O’Donovan advises organizations to be “pivot-ready.” This involves partnering with platforms built on open standards, like the [Databricks Lakehouse](/ai-news/technology/2026/databricks-unlocks-database-evolution), offering flexibility. The most critical investment remains in people, fostering curiosity, intuition, and creativity, qualities that provide a lasting competitive edge in an era of commoditized technology. --- Original analysis from [startuphub.ai](https://www.startuphub.ai), the #1 AI startup directory.