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Lessons for your data journey.",{"tag":10,"attributes":19},{"name":20,"content":17},"abstract",{"tag":10,"attributes":22},{"name":23,"content":24},"icbm","51.525772, -0.082716",{"tag":26,"attributes":27},"link",{"rel":28,"href":29},"canonical","https:\u002F\u002Fcms.zuehlke.com\u002Fen\u002Finsights\u002Ffrom-data-silos-to-a-data-ecosystem-lessons-from-zurich-airports-data-journey",{"tag":10,"attributes":31},{"name":32,"content":33},"robots","index, 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from Airport Zürich.jpg","Zurich Airport’s data journey: From silos to a future-ready ecosystem",{"processed":243},"\u003Cp>Discover how Zurich Airport broke down silos and built a scalable data ecosystem for real-time decisions. Lessons for your data journey.\u003C\u002Fp>",{"id":245,"sharedMediaLegend":204,"mediaImage":246,"name":253},"171381",{"url":247,"width":248,"height":249,"alt":250,"title":204,"size":251,"mime":252,"variations":204},"https:\u002F\u002Fcms.zuehlke.com\u002Fsites\u002Fdefault\u002Ffiles\u002Fimages\u002Fzurich-airport.png",1235,694,"Birdsview of an Airplane",2113657,"image\u002Fpng","zurich-airport.png",[255,262,267,274,280,285,309,314,345,349,372,398,403,408],{"__typename":256,"id":257,"ctaLink":204,"pgSharedText":258,"pgSharedTitle":204,"pgSharedCtaLink":204},"ParagraphPgText","30014",{"value":259,"processed":260,"format":261},"\u003Cp>\u003Ca href=\"\u002Fnode\u002F26224\" data-entity-type=\"node\" data-entity-uuid=\"8863f395-70da-4ebf-8a05-e432b1b2d0d4\" data-entity-substitution=\"canonical\">Zurich Airport\u003C\u002Fa> faces similar challenges in its data landscape. By transforming the data journey, the airport created a scalable, \u003Ca href=\"\u002Fnode\u002F7219\" data-entity-type=\"node\" data-entity-uuid=\"5a9f47d6-3b20-4caf-9606-c25c4f334084\" data-entity-substitution=\"canonical\">data ecosystem\u003C\u002Fa>-based foundation that enables near real-time decision-making, improves collaboration, and enhances operational efficiency. The insights from this transformation are valuable for any business embarking on a data ecosystem transformation, not only in the \u003Ca href=\"\u002Fnode\u002F26271\" data-entity-type=\"node\" data-entity-uuid=\"5a8dbb0b-7c18-4052-8ecd-0e1516ef20a6\" data-entity-substitution=\"canonical\">transport and mobility sectors\u003C\u002Fa>.\u003C\u002Fp>\u003Cp>In this blog post, Philipp Morf, Director of Data Science at Zühlke and David Hangartner, Head of the Data and Analytics Competence Centre at Zurich Airport, examine the ongoing transformation of Zurich Airport's data landscape and share the lessons that other organisations can learn from the experience.\u003C\u002Fp>","\u003Cp>\u003Ca href=\"\u002Fen\u002Fcase-studies\u002Fzurich-airport-transforms-operations-for-a-data-driven-future\" data-entity-type=\"node\" data-entity-uuid=\"8863f395-70da-4ebf-8a05-e432b1b2d0d4\" data-entity-substitution=\"canonical\" title=\"Zurich Airport transforms operations for a data-driven future\">Zurich Airport\u003C\u002Fa> faces similar challenges in its data landscape. By transforming the data journey, the airport created a scalable, \u003Ca href=\"\u002Fen\u002Finsights\u002Fdata-ecosystem-data-sharing-unlocks-innovation\" data-entity-type=\"node\" data-entity-uuid=\"5a9f47d6-3b20-4caf-9606-c25c4f334084\" data-entity-substitution=\"canonical\" title=\"The data ecosystem: how data sharing unlocks innovation \">data ecosystem\u003C\u002Fa>-based foundation that enables near real-time decision-making, improves collaboration, and enhances operational efficiency. The insights from this transformation are valuable for any business embarking on a data ecosystem transformation, not only in the \u003Ca href=\"\u002Fen\u002Findustries\u002Ftransport\" data-entity-type=\"node\" data-entity-uuid=\"5a8dbb0b-7c18-4052-8ecd-0e1516ef20a6\" data-entity-substitution=\"canonical\" title=\"INDUSTRY: Transport (EN)\">transport and mobility sectors\u003C\u002Fa>.\u003C\u002Fp>\u003Cp>In this blog post, Philipp Morf, Director of Data Science at Zühlke and David Hangartner, Head of the Data and Analytics Competence Centre at Zurich Airport, examine the ongoing transformation of Zurich Airport's data landscape and share the lessons that other organisations can learn from the experience.\u003C\u002Fp>","full_html",{"__typename":256,"id":263,"ctaLink":204,"pgSharedText":264,"pgSharedTitle":266,"pgSharedCtaLink":204},"30015",{"value":265,"processed":265,"format":261},"\u003Cul>\u003Cli>Why data silos are a major barrier to operational efficiency in complex environments.\u003C\u002Fli>\u003Cli>Best practices for building a future-proof data ecosystem.\u003C\u002Fli>\u003Cli>How to balance data governance, security, and accessibility.\u003C\u002Fli>\u003Cli>The role of AI and near real-time analytics in driving better decision-making.\u003C\u002Fli>\u003Cli>Lessons from Zurich Airport’s experience that apply to any organisation.\u003C\u002Fli>\u003C\u002Ful>","Key takeaways:",{"__typename":268,"id":269,"title":204,"media":270,"text":204,"primaryImage":204,"pgSharedTitle":273},"ParagraphPgContentVideoHighlight","30016",{"id":271,"mediaOembedVideo":272},"171677","https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=XbvZM8feSCE","Watch the video for an overview of Zurich Airport’s data transformation",{"__typename":256,"id":275,"ctaLink":204,"pgSharedText":276,"pgSharedTitle":279,"pgSharedCtaLink":204},"30022",{"value":277,"processed":278,"format":261},"\u003Cp>Many organisations rely on \u003Ca href=\"\u002Fnode\u002F6647\" data-entity-type=\"node\" data-entity-uuid=\"685fea0a-4ce0-4b5d-ba0f-6fb137f51971\" data-entity-substitution=\"canonical\">data-driven decision-making\u003C\u002Fa>, yet their data remains fragmented across disconnected systems. Without a strong central data system, decisions are often reactive – with negative effects on both the efficiency and the experience for clients and users. This challenge is particularly evident in large-scale, multi-stakeholder environments like airports, logistics hubs, and multinational corporations. \u003C\u002Fp>\u003Cp>\u003Cstrong>Some of the key challenges include:\u003C\u002Fstrong>\u003C\u002Fp>\u003Cul>\u003Cli>\u003Cstrong>Data fragmentation:\u003C\u002Fstrong> Critical operational data is stored in disconnected legacy systems, preventing a unified near real-time overview.\u003C\u002Fli>\u003Cli>\u003Cstrong>Limited collaboration:\u003C\u002Fstrong> Stakeholders manage their data independently, making cross-functional coordination difficult.\u003C\u002Fli>\u003Cli>\u003Cstrong>Rising demand for automation and AI:\u003C\u002Fstrong> Teams are eager to leverage predictive analytics and benefit from near real-time decision-making. However, the infrastructure to support this isn’t there.\u003C\u002Fli>\u003Cli>\u003Cstrong>Regulatory and security constraints:\u003C\u002Fstrong> Industries like \u003Ca href=\"https:\u002F\u002Fwww.zuehlke.com\u002Fen\u002Findustries\u002Ftransport\" target=\"_blank\">aviation\u003C\u002Fa>, \u003Ca href=\"https:\u002F\u002Fwww.zuehlke.com\u002Fen\u002Findustries\u002Fbanking\" target=\"_blank\">finance\u003C\u002Fa>, or \u003Ca href=\"https:\u002F\u002Fwww.zuehlke.com\u002Fen\u002Findustries\u002Fhealthcare-providers\" target=\"_blank\">healthcare\u003C\u002Fa> face strict rules. These rules make data sharing and interoperability more complex.\u003C\u002Fli>\u003C\u002Ful>\u003Cp>Zurich Airport experienced many of these challenges firsthand. Their journey to a \u003Ca href=\"\u002Fnode\u002F7219\" data-entity-type=\"node\" data-entity-uuid=\"5a9f47d6-3b20-4caf-9606-c25c4f334084\" data-entity-substitution=\"canonical\">fully integrated data ecosystem\u003C\u002Fa> provides valuable insights for any organisation looking to improve its data strategy.\u003Cbr> \u003C\u002Fp>","\u003Cp>Many organisations rely on \u003Ca href=\"\u002Fen\u002Fexpertise\u002Fdata-solutions\" data-entity-type=\"node\" data-entity-uuid=\"685fea0a-4ce0-4b5d-ba0f-6fb137f51971\" data-entity-substitution=\"canonical\" title=\"EXPERTISE: Data solutions (EN)\">data-driven decision-making\u003C\u002Fa>, yet their data remains fragmented across disconnected systems. Without a strong central data system, decisions are often reactive – with negative effects on both the efficiency and the experience for clients and users. This challenge is particularly evident in large-scale, multi-stakeholder environments like airports, logistics hubs, and multinational corporations. \u003C\u002Fp>\u003Cp>\u003Cstrong>Some of the key challenges include:\u003C\u002Fstrong>\u003C\u002Fp>\u003Cul>\u003Cli>\u003Cstrong>Data fragmentation:\u003C\u002Fstrong> Critical operational data is stored in disconnected legacy systems, preventing a unified near real-time overview.\u003C\u002Fli>\u003Cli>\u003Cstrong>Limited collaboration:\u003C\u002Fstrong> Stakeholders manage their data independently, making cross-functional coordination difficult.\u003C\u002Fli>\u003Cli>\u003Cstrong>Rising demand for automation and AI:\u003C\u002Fstrong> Teams are eager to leverage predictive analytics and benefit from near real-time decision-making. However, the infrastructure to support this isn’t there.\u003C\u002Fli>\u003Cli>\u003Cstrong>Regulatory and security constraints:\u003C\u002Fstrong> Industries like \u003Ca href=\"https:\u002F\u002Fwww.zuehlke.com\u002Fen\u002Findustries\u002Ftransport\" target=\"_blank\">aviation\u003C\u002Fa>, \u003Ca href=\"https:\u002F\u002Fwww.zuehlke.com\u002Fen\u002Findustries\u002Fbanking\" target=\"_blank\">finance\u003C\u002Fa>, or \u003Ca href=\"https:\u002F\u002Fwww.zuehlke.com\u002Fen\u002Findustries\u002Fhealthcare-providers\" target=\"_blank\">healthcare\u003C\u002Fa> face strict rules. These rules make data sharing and interoperability more complex.\u003C\u002Fli>\u003C\u002Ful>\u003Cp>Zurich Airport experienced many of these challenges firsthand. Their journey to a \u003Ca href=\"\u002Fen\u002Finsights\u002Fdata-ecosystem-data-sharing-unlocks-innovation\" data-entity-type=\"node\" data-entity-uuid=\"5a9f47d6-3b20-4caf-9606-c25c4f334084\" data-entity-substitution=\"canonical\" title=\"The data ecosystem: how data sharing unlocks innovation \">fully integrated data ecosystem\u003C\u002Fa> provides valuable insights for any organisation looking to improve its data strategy.\u003Cbr> \u003C\u002Fp>","The challenge: Breaking down data silos in a complex environment",{"__typename":256,"id":281,"ctaLink":204,"pgSharedText":282,"pgSharedTitle":284,"pgSharedCtaLink":204},"30069",{"value":283,"processed":283,"format":261},"","Lessons from Zurich Airport: Building a scalable data ecosystem",{"__typename":286,"id":287,"caption":204,"imageRight":204,"pgSharedTitle":204,"pgSharedCtaLink":204,"textMedia":288,"pgSharedText":307},"ParagraphPgTextMedia","30067",{"id":289,"sharedMediaLegend":204,"mediaImage":290,"name":306},"171678",{"url":291,"width":292,"height":293,"alt":220,"title":204,"size":294,"mime":222,"variations":204,"textMediaVariations":295},"https:\u002F\u002Fcms.zuehlke.com\u002Fsites\u002Fdefault\u002Ffiles\u002Fimages\u002FTeaser.Big-Zurich-Airport-Plane-Landing.jpg",955,764,74697,[296,300,301,302,305],{"name":297,"url":298,"width":299,"height":238},"FIXED_WIDTH_SMALL","https:\u002F\u002Fcms.zuehlke.com\u002Fsites\u002Fdefault\u002Ffiles\u002Fstyles\u002Ffixed_width_small\u002Fpublic\u002Fimages\u002FTeaser.Big-Zurich-Airport-Plane-Landing.jpg.webp?itok=KpgxP3WT",900,{"name":297,"url":298,"width":299,"height":238},{"name":297,"url":298,"width":299,"height":238},{"name":303,"url":304,"width":292,"height":293},"FIXED_WIDTH_MEDIUM","https:\u002F\u002Fcms.zuehlke.com\u002Fsites\u002Fdefault\u002Ffiles\u002Fstyles\u002Ffixed_width_medium\u002Fpublic\u002Fimages\u002FTeaser.Big-Zurich-Airport-Plane-Landing.jpg.webp?itok=GlZdbS6B",{"name":303,"url":304,"width":292,"height":293},"Teaser.Big-Zurich-Airport-Plane-Landing.jpg",{"value":308,"processed":308,"format":261},"\u003Ch3>1. Prioritise use cases with a structured framework\u003C\u002Fh3>\u003Cp>Many organisations start by collecting as much data as possible. However, a more effective approach is to focus on solving specific business challenges. Zurich Airport adopted a vision and scope framework to prioritise its initiatives, ensuring that each project addressed a real business need, had measurable success criteria, and was validated by key stakeholders.\u003C\u002Fp>\u003Cp>Instead of aggregating large volumes of data without a clear goal, Zurich Airport focused on enhancing operational decision-making. One crucial step was integrating near real-time monitoring capabilities, ensuring teams had access to timely insights that supported faster and more informed decisions. By applying this principle, organisations in various industries can optimise resources and improve response times to operational challenges.\u003C\u002Fp>",{"__typename":256,"id":310,"ctaLink":204,"pgSharedText":311,"pgSharedTitle":204,"pgSharedCtaLink":204},"30023",{"value":312,"processed":313,"format":261},"\u003Ch3>2. Build a future-ready data foundation\u003C\u002Fh3>\u003Cp>To scale AI-driven applications and analytics, organisations need a strong data infrastructure. With our support, Zurich Airport developed a modern data platform using lakehouse architecture on \u003Ca href=\"\u002Fnode\u002F7703\" data-entity-type=\"node\" data-entity-uuid=\"4f46f93d-8a90-466f-940c-c7218b5063be\" data-entity-substitution=\"canonical\">Azure\u003C\u002Fa> and Databricks.\u003C\u002Fp>\u003Cp>This foundation was built with several key principles in mind:\u003C\u002Fp>\u003Cul>\u003Cli>\u003Cstrong>Standardised data processing\u003C\u002Fstrong> to ensure consistency across all systems and reduce redundancies.\u003C\u002Fli>\u003Cli>\u003Cstrong>Automated governance and security frameworks\u003C\u002Fstrong> to maintain compliance while making data accessible where needed. \u003Ca href=\"https:\u002F\u002Fwww.zuehlke.com\u002Fen\u002Finsights\u002Fmitigate-ai-risks-with-an-ai-governance-framework\" target=\"_blank\">Data governance\u003C\u002Fa> and data ethics can mitigate risks, ensuring that AI systems remain transparent and aligned with ethical standards.\u003C\u002Fli>\u003Cli>\u003Cstrong>Interoperability with existing systems\u003C\u002Fstrong>, allowing organisations to leverage historical data and legacy applications without major disruptions.\u003C\u002Fli>\u003C\u002Ful>\u003Cp>A well-structured data foundation ensures that an organisation is not just collecting data but is also extracting value from it. With this architecture in place, Zurich Airport is equipped to expand data-driven applications, improve near real-time analytics, and enhance decision-making at every level.\u003C\u002Fp>\u003Ch3>3. Deliver near real-time visibility to improve operational efficiency\u003C\u002Fh3>\u003Cp>For organisations managing complex operations, near real-time visibility across multiple stakeholders is crucial. A system that integrates and combines key data sources enables teams to anticipate disruptions and make informed decisions. Effective process observation enhances coordination and ensures teams can proactively manage operational changes.\u003C\u002Fp>\u003Cp>For Zurich Airport, developing the Airport Operations Plan (AOP) application was a great solution. The AOP is a near real-time application designed to improve operational coordination and situational awareness. Built on Zurich Airport’s existing data platform, it integrates multiple data sources such as flight schedules, weather conditions, and ground operations to enable proactive decision-making. Close collaboration between IT and business teams ensures alignment on goals, while early user involvement drives adoption and usability.\u003C\u002Fp>\u003Cp>A user-centric approach – where stakeholders are actively involved in defining requirements – ensures the system meets operational needs. Continuous feedback loops help refine solutions iteratively, keeping them aligned with evolving operational needs. By integrating multiple data sources, applications like AOP provide a comprehensive view of operations, improving decision-making and collaboration.\u003Cbr> \u003C\u002Fp>","\u003Ch3>2. Build a future-ready data foundation\u003C\u002Fh3>\u003Cp>To scale AI-driven applications and analytics, organisations need a strong data infrastructure. With our support, Zurich Airport developed a modern data platform using lakehouse architecture on \u003Ca href=\"\u002Fen\u002Fabout-us\u002Fpartnerships\u002Fmicrosoft\u002Fmicrosoft-azure\" data-entity-type=\"node\" data-entity-uuid=\"4f46f93d-8a90-466f-940c-c7218b5063be\" data-entity-substitution=\"canonical\" title=\"PARTNER: Microsoft Azure (EN)\">Azure\u003C\u002Fa> and Databricks.\u003C\u002Fp>\u003Cp>This foundation was built with several key principles in mind:\u003C\u002Fp>\u003Cul>\u003Cli>\u003Cstrong>Standardised data processing\u003C\u002Fstrong> to ensure consistency across all systems and reduce redundancies.\u003C\u002Fli>\u003Cli>\u003Cstrong>Automated governance and security frameworks\u003C\u002Fstrong> to maintain compliance while making data accessible where needed. \u003Ca href=\"https:\u002F\u002Fwww.zuehlke.com\u002Fen\u002Finsights\u002Fmitigate-ai-risks-with-an-ai-governance-framework\" target=\"_blank\">Data governance\u003C\u002Fa> and data ethics can mitigate risks, ensuring that AI systems remain transparent and aligned with ethical standards.\u003C\u002Fli>\u003Cli>\u003Cstrong>Interoperability with existing systems\u003C\u002Fstrong>, allowing organisations to leverage historical data and legacy applications without major disruptions.\u003C\u002Fli>\u003C\u002Ful>\u003Cp>A well-structured data foundation ensures that an organisation is not just collecting data but is also extracting value from it. With this architecture in place, Zurich Airport is equipped to expand data-driven applications, improve near real-time analytics, and enhance decision-making at every level.\u003C\u002Fp>\u003Ch3>3. Deliver near real-time visibility to improve operational efficiency\u003C\u002Fh3>\u003Cp>For organisations managing complex operations, near real-time visibility across multiple stakeholders is crucial. A system that integrates and combines key data sources enables teams to anticipate disruptions and make informed decisions. Effective process observation enhances coordination and ensures teams can proactively manage operational changes.\u003C\u002Fp>\u003Cp>For Zurich Airport, developing the Airport Operations Plan (AOP) application was a great solution. The AOP is a near real-time application designed to improve operational coordination and situational awareness. Built on Zurich Airport’s existing data platform, it integrates multiple data sources such as flight schedules, weather conditions, and ground operations to enable proactive decision-making. Close collaboration between IT and business teams ensures alignment on goals, while early user involvement drives adoption and usability.\u003C\u002Fp>\u003Cp>A user-centric approach – where stakeholders are actively involved in defining requirements – ensures the system meets operational needs. Continuous feedback loops help refine solutions iteratively, keeping them aligned with evolving operational needs. By integrating multiple data sources, applications like AOP provide a comprehensive view of operations, improving decision-making and collaboration.\u003Cbr> \u003C\u002Fp>",{"__typename":315,"id":316,"eyebrow":204,"pgQuoteRefQuote":317,"hideImage":320,"hideFunctionAndCompany":320,"bigQuote":320},"ParagraphPgQuote","30024",[318],{"status":7,"id":319,"promote":320,"quotePersonDesc":321,"quotePersonName":322,"quoteText":323,"profileImage":324,"title":344},"26477",false,"Head of Data & Analytics Competence Centre, Zurich Airport","David Hangartner","With our new data platform, we can integrate different sources and provide near real-time insights. This means better decision-making and improved collaboration across teams.",{"id":325,"sharedMediaLegend":204,"mediaImage":326,"name":343},"171675",{"url":327,"width":227,"height":227,"alt":328,"title":204,"size":329,"mime":222,"variations":204,"quoteVariations":330},"https:\u002F\u002Fcms.zuehlke.com\u002Fsites\u002Fdefault\u002Ffiles\u002Fimages\u002FDavid-Hangartner-Head-Data-Analytics-Competence-Centre-Zurich-Airport.jpeg","David Hangartner, Head of the Data and Analytics Competence Centre at Zurich Airport",94452,[331,335,338,341,342],{"name":332,"url":333,"width":334,"height":334},"FOCAL_POINT11_EXTRA_SMALL","https:\u002F\u002Fcms.zuehlke.com\u002Fsites\u002Fdefault\u002Ffiles\u002Fstyles\u002Ffocal_point_1_1_extra_small\u002Fpublic\u002Fimages\u002FDavid-Hangartner-Head-Data-Analytics-Competence-Centre-Zurich-Airport.jpeg.webp?itok=hEZ2k5iN",400,{"name":336,"url":337,"width":227,"height":227},"FOCAL_POINT11_SMALL","https:\u002F\u002Fcms.zuehlke.com\u002Fsites\u002Fdefault\u002Ffiles\u002Fstyles\u002Ffocal_point_1_1_small\u002Fpublic\u002Fimages\u002FDavid-Hangartner-Head-Data-Analytics-Competence-Centre-Zurich-Airport.jpeg.webp?itok=U1l1AJRb",{"name":339,"url":340,"width":227,"height":227},"FOCAL_POINT11_MEDIUM","https:\u002F\u002Fcms.zuehlke.com\u002Fsites\u002Fdefault\u002Ffiles\u002Fstyles\u002Ffocal_point_1_1_medium\u002Fpublic\u002Fimages\u002FDavid-Hangartner-Head-Data-Analytics-Competence-Centre-Zurich-Airport.jpeg.webp?itok=376mF02w",{"name":339,"url":340,"width":227,"height":227},{"name":339,"url":340,"width":227,"height":227},"David-Hangartner-Head-Data-Analytics-Competence-Centre-Zurich-Airport.jpeg","David Hangartner, Head of Data and Analytics Competence Centre, Zurich Airport (EN)",{"__typename":256,"id":346,"ctaLink":204,"pgSharedText":347,"pgSharedTitle":204,"pgSharedCtaLink":204},"30025",{"value":348,"processed":348,"format":261},"\u003Cp>Any organisation aiming to enhance its data-driven decision-making can benefit from a similar approach, ensuring they not only collect data but also use it effectively to drive tangible improvements.\u003C\u002Fp>",{"__typename":286,"id":350,"caption":204,"imageRight":204,"pgSharedTitle":351,"pgSharedCtaLink":352,"textMedia":355,"pgSharedText":369},"30068","The result: A fully operational data ecosystem",{"title":353,"url":354,"internal":7},"Zurich Airport case study","\u002Fen\u002Fcase-studies\u002Fzurich-airport-transforms-operations-for-a-data-driven-future",{"id":356,"sharedMediaLegend":204,"mediaImage":357,"name":368},"171679",{"url":358,"width":292,"height":293,"alt":220,"title":204,"size":359,"mime":222,"variations":204,"textMediaVariations":360},"https:\u002F\u002Fcms.zuehlke.com\u002Fsites\u002Fdefault\u002Ffiles\u002Fimages\u002FTeaser.Big-Crowded-Escalator-Moving.jpg",148101,[361,363,364,365,367],{"name":297,"url":362,"width":299,"height":238},"https:\u002F\u002Fcms.zuehlke.com\u002Fsites\u002Fdefault\u002Ffiles\u002Fstyles\u002Ffixed_width_small\u002Fpublic\u002Fimages\u002FTeaser.Big-Crowded-Escalator-Moving.jpg.webp?itok=ywcf4ZKD",{"name":297,"url":362,"width":299,"height":238},{"name":297,"url":362,"width":299,"height":238},{"name":303,"url":366,"width":292,"height":293},"https:\u002F\u002Fcms.zuehlke.com\u002Fsites\u002Fdefault\u002Ffiles\u002Fstyles\u002Ffixed_width_medium\u002Fpublic\u002Fimages\u002FTeaser.Big-Crowded-Escalator-Moving.jpg.webp?itok=D6z-Qub0",{"name":303,"url":366,"width":292,"height":293},"Teaser.Big-Crowded-Escalator-Moving.jpg",{"value":370,"processed":371,"format":261},"\u003Cp>Zurich Airport has successfully transitioned from fragmented data silos to a fully integrated data ecosystem. Some of the key benefits include:\u003C\u002Fp>\u003Cul>\u003Cli>\u003Cstrong>Near real-time operational insights\u003C\u002Fstrong>, allowing for more proactive decision-making.\u003C\u002Fli>\u003Cli>\u003Cstrong>Improved stakeholder collaboration\u003C\u002Fstrong>, with a centralised data platform enabling better coordination.\u003C\u002Fli>\u003Cli>\u003Cstrong>Scalability for future innovations\u003C\u002Fstrong>, ensuring the airport remains at the forefront of data-driven aviation.\u003C\u002Fli>\u003C\u002Ful>\u003Cp>A more detailed look at this transformation is available in the \u003Ca href=\"https:\u002F\u002Fwww.zuehlke.com\u002Fen\u002Fcase-studies\u002Fzurich-airport-transforms-operations-for-a-data-driven-future\" data-entity-type=\"node\" data-entity-uuid=\"8863f395-70da-4ebf-8a05-e432b1b2d0d4\" data-entity-substitution=\"canonical\">Zurich Airport case study\u003C\u002Fa>.\u003C\u002Fp>","\u003Cp>Zurich Airport has successfully transitioned from fragmented data silos to a fully integrated data ecosystem. Some of the key benefits include:\u003C\u002Fp>\u003Cul>\u003Cli>\u003Cstrong>Near real-time operational insights\u003C\u002Fstrong>, allowing for more proactive decision-making.\u003C\u002Fli>\u003Cli>\u003Cstrong>Improved stakeholder collaboration\u003C\u002Fstrong>, with a centralised data platform enabling better coordination.\u003C\u002Fli>\u003Cli>\u003Cstrong>Scalability for future innovations\u003C\u002Fstrong>, ensuring the airport remains at the forefront of data-driven aviation.\u003C\u002Fli>\u003C\u002Ful>\u003Cp>A more detailed look at this transformation is available in the \u003Ca href=\"\u002Fen\u002Fcase-studies\u002Fzurich-airport-transforms-operations-for-a-data-driven-future\" data-entity-type=\"node\" data-entity-uuid=\"8863f395-70da-4ebf-8a05-e432b1b2d0d4\" data-entity-substitution=\"canonical\" title=\"Zurich Airport transforms operations for a data-driven future\">Zurich Airport case study\u003C\u002Fa>.\u003C\u002Fp>",{"__typename":315,"id":373,"eyebrow":204,"pgQuoteRefQuote":374,"hideImage":320,"hideFunctionAndCompany":320,"bigQuote":320},"30027",[375],{"status":7,"id":376,"promote":320,"quotePersonDesc":377,"quotePersonName":378,"quoteText":379,"profileImage":380,"title":397},"26479","Director of Data Science, Zühlke","Philipp Morf","Our collaboration with Zurich Airport was about more than just technology – it was about understanding their operational needs and designing a data ecosystem that truly enables innovation and efficiency.",{"id":381,"sharedMediaLegend":204,"mediaImage":382,"name":396},"153094",{"url":383,"width":384,"height":384,"alt":385,"title":204,"size":386,"mime":222,"variations":204,"quoteVariations":387},"https:\u002F\u002Fcms.zuehlke.com\u002Fsites\u002Fdefault\u002Ffiles\u002Fimages\u002F2023_philipp_morf_zuhlke.jpg",300,"Philipp Morf, Zühlke",35804,[388,390,392,394,395],{"name":332,"url":389,"width":384,"height":384},"https:\u002F\u002Fcms.zuehlke.com\u002Fsites\u002Fdefault\u002Ffiles\u002Fstyles\u002Ffocal_point_1_1_extra_small\u002Fpublic\u002Fimages\u002F2023_philipp_morf_zuhlke.jpg.webp?itok=X6u3ss1D",{"name":336,"url":391,"width":384,"height":384},"https:\u002F\u002Fcms.zuehlke.com\u002Fsites\u002Fdefault\u002Ffiles\u002Fstyles\u002Ffocal_point_1_1_small\u002Fpublic\u002Fimages\u002F2023_philipp_morf_zuhlke.jpg.webp?itok=_xYXCYWA",{"name":339,"url":393,"width":384,"height":384},"https:\u002F\u002Fcms.zuehlke.com\u002Fsites\u002Fdefault\u002Ffiles\u002Fstyles\u002Ffocal_point_1_1_medium\u002Fpublic\u002Fimages\u002F2023_philipp_morf_zuhlke.jpg.webp?itok=dRKYiOMR",{"name":339,"url":393,"width":384,"height":384},{"name":339,"url":393,"width":384,"height":384},"2023_philipp_morf_zuhlke.jpg","Philipp Morf, Director of Data Science, Zühlke – Zurich Airport (EN)",{"__typename":256,"id":399,"ctaLink":204,"pgSharedText":400,"pgSharedTitle":402,"pgSharedCtaLink":204},"30028",{"value":401,"processed":401,"format":261},"\u003Cp>Zurich Airport’s journey highlights key best practices for any organisation looking to unlock the power of data:\u003C\u002Fp>\u003Cul>\u003Cli>\u003Cstrong>Start with governance:\u003C\u002Fstrong> Establish clear ownership, access rules, and compliance standards early on.\u003C\u002Fli>\u003Cli>\u003Cstrong>Focus on business value:\u003C\u002Fstrong> Align data initiatives with real operational needs, not just technical possibilities.\u003C\u002Fli>\u003Cli>\u003Cstrong>Adopt an agile approach:\u003C\u002Fstrong> Iterative development and continuous learning ensure faster, more impactful innovation.\u003C\u002Fli>\u003Cli>\u003Cstrong>Balance security and accessibility:\u003C\u002Fstrong> Automated governance frameworks can manage privacy and boost usability.\u003C\u002Fli>\u003C\u002Ful>","Lessons learned: Best practices for data transformation",{"__typename":256,"id":404,"ctaLink":204,"pgSharedText":405,"pgSharedTitle":407,"pgSharedCtaLink":204},"30029",{"value":406,"processed":406,"format":261},"\u003Cp>Zurich Airport’s journey demonstrates how a structured approach to data transformation can drive efficiency, innovation, and scalability. By focusing on governance, interoperability, and AI-driven insights, the airport has set a benchmark for intelligent, connected aviation.\u003C\u002Fp>\u003Cp>For businesses embarking on their own data journey, the key takeaway is clear: start with business impact, build a strong foundation, and adopt an agile mindset to drive meaningful transformation.\u003C\u002Fp>","Conclusion: A blueprint for data-driven transformation",{"__typename":409,"id":410,"pgTitle":411,"text":204,"link":412,"coloredBackground":320,"compactMode":7,"actionVariant":26,"buttonText":204,"pgEmbededCode":415},"ParagraphPgCtaDefault","30030","Dive deeper into our data & AI expertise!",{"title":413,"url":414,"internal":7},"Explore more","\u002Fen\u002Fexpertise\u002Fdata-solutions",{"value":283,"processed":283,"format":416},"code",[418],{"id":419,"name":420},"15","Transport",[422,425,428,431],{"id":423,"name":424},"875","Data",{"id":426,"name":427},"877","Data engineering",{"id":429,"name":430},"876","Data strategy",{"id":432,"name":433},"892","Ecosystems",{"processed":435},"\u003Cp>Managing complex operations in large organisations requires near real-time, high-quality data. Yet, many organisations struggle with data silos, fragmented systems, and limited analytics capabilities. This challenge is especially pronounced in environments where multiple stakeholders rely on shared data to make time-sensitive decisions.\u003C\u002Fp>\n",{"timestamp":437},1747742400,[439,451],{"status":7,"contactName":322,"contactProfession":440,"contactLinkedinUrl":441,"sharedEmail":204,"sharedRefMedia":443},"Head of the Data & Analytics Competence Centre, Zurich Airport",{"title":283,"url":442,"internal":320},"https:\u002F\u002Fwww.linkedin.com\u002Fin\u002Fdavid-hangartner-39b45793\u002F",{"id":325,"sharedMediaLegend":204,"mediaImage":444,"name":343},{"url":327,"width":227,"height":227,"alt":328,"title":204,"size":329,"mime":222,"variations":204,"authorVariations":445},[446,447,448,449,450],{"name":336,"url":337,"width":227,"height":227},{"name":336,"url":337,"width":227,"height":227},{"name":336,"url":337,"width":227,"height":227},{"name":336,"url":337,"width":227,"height":227},{"name":336,"url":337,"width":227,"height":227},{"status":7,"contactName":378,"contactProfession":452,"contactLinkedinUrl":453,"sharedEmail":455,"sharedRefMedia":456},"Head of Data & AI Switzerland & Partner",{"title":283,"url":454,"internal":320},"https:\u002F\u002Fwww.linkedin.com\u002Fin\u002Fphilipp-morf\u002F","philipp.morf@zuehlke.com",{"id":457,"sharedMediaLegend":204,"mediaImage":458,"name":469},"1542",{"url":459,"width":460,"height":460,"alt":378,"title":204,"size":461,"mime":222,"variations":204,"authorVariations":462},"https:\u002F\u002Fcms.zuehlke.com\u002Fsites\u002Fdefault\u002Ffiles\u002Fimages\u002Fphilipp-morf.jpeg",648,127177,[463,465,466,467,468],{"name":336,"url":464,"width":460,"height":460},"https:\u002F\u002Fcms.zuehlke.com\u002Fsites\u002Fdefault\u002Ffiles\u002Fstyles\u002Ffocal_point_1_1_small\u002Fpublic\u002Fimages\u002Fphilipp-morf.jpeg.webp?itok=Xf88f3NF",{"name":336,"url":464,"width":460,"height":460},{"name":336,"url":464,"width":460,"height":460},{"name":336,"url":464,"width":460,"height":460},{"name":336,"url":464,"width":460,"height":460},"philipp-morf.jpeg",[471,497,529,566],{"id":472,"path":473,"sharedTeaserTitle":474,"sharedTeaserRefMedia":475,"sharedTaxrefIndustries":491,"sharedTaxrefExpertises":495},"27031","\u002Fen\u002Finsights\u002Fwhy-data-standardisation-is-europes-next-energy-resilience-lever","Why data standardisation is Europe’s next energy resilience lever",{"id":476,"sharedMediaLegend":204,"mediaImage":477,"name":490},"173164",{"url":478,"width":218,"height":238,"alt":220,"title":204,"size":479,"mime":222,"variations":204,"relatedContentVariations":480},"https:\u002F\u002Fcms.zuehlke.com\u002Fsites\u002Fdefault\u002Ffiles\u002Fimages\u002FData%20standardisation%20and%20AI%20concept.jpeg",123410,[481,483,484,488,489],{"name":225,"url":482,"width":227,"height":228},"https:\u002F\u002Fcms.zuehlke.com\u002Fsites\u002Fdefault\u002Ffiles\u002Fstyles\u002Ffocal_point_3_2_small\u002Fpublic\u002Fimages\u002FData%20standardisation%20and%20AI%20concept.jpeg.webp?itok=hxT558Q2",{"name":225,"url":482,"width":227,"height":228},{"name":485,"url":486,"width":487,"height":238},"FOCAL_POINT32_MEDIUM","https:\u002F\u002Fcms.zuehlke.com\u002Fsites\u002Fdefault\u002Ffiles\u002Fstyles\u002Ffocal_point_3_2_medium\u002Fpublic\u002Fimages\u002FData%20standardisation%20and%20AI%20concept.jpeg.webp?itok=qrwHz5Mi",1080,{"name":485,"url":486,"width":487,"height":238},{"name":485,"url":486,"width":487,"height":238},"Data 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know",{"id":502,"sharedMediaLegend":204,"mediaImage":503,"name":515},"172199",{"url":504,"width":505,"height":218,"alt":220,"title":204,"size":506,"mime":222,"variations":204,"relatedContentVariations":507},"https:\u002F\u002Fcms.zuehlke.com\u002Fsites\u002Fdefault\u002Ffiles\u002Fimages\u002Fpost-market-surveillance.jpg",1920,366227,[508,510,511,513,514],{"name":225,"url":509,"width":227,"height":228},"https:\u002F\u002Fcms.zuehlke.com\u002Fsites\u002Fdefault\u002Ffiles\u002Fstyles\u002Ffocal_point_3_2_small\u002Fpublic\u002Fimages\u002Fpost-market-surveillance.jpg.webp?itok=WDSU9jKz",{"name":225,"url":509,"width":227,"height":228},{"name":485,"url":512,"width":233,"height":227},"https:\u002F\u002Fcms.zuehlke.com\u002Fsites\u002Fdefault\u002Ffiles\u002Fstyles\u002Ffocal_point_3_2_medium\u002Fpublic\u002Fimages\u002Fpost-market-surveillance.jpg.webp?itok=954ZaywU",{"name":485,"url":512,"width":233,"height":227},{"name":485,"url":512,"width":233,"height":227},"post-market-surveillance.jpg",[517],{"id":518,"name":519},"13","MedTech",[521,522,523,526],{"id":423,"name":424},{"id":429,"name":430},{"id":524,"name":525},"20","Hardware 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healthcare",62047,[542,544,545,547,548],{"name":225,"url":543,"width":537,"height":538},"https:\u002F\u002Fcms.zuehlke.com\u002Fsites\u002Fdefault\u002Ffiles\u002Fstyles\u002Ffocal_point_3_2_small\u002Fpublic\u002Fimages\u002Fpharma-medtech-sustainability-vision.jpg.webp?itok=-dsfnh1r",{"name":225,"url":543,"width":537,"height":538},{"name":485,"url":546,"width":537,"height":538},"https:\u002F\u002Fcms.zuehlke.com\u002Fsites\u002Fdefault\u002Ffiles\u002Fstyles\u002Ffocal_point_3_2_medium\u002Fpublic\u002Fimages\u002Fpharma-medtech-sustainability-vision.jpg.webp?itok=HMjHtDd-",{"name":485,"url":546,"width":537,"height":538},{"name":485,"url":546,"width":537,"height":538},"pharma-medtech-sustainability-vision.jpg",[551,552],{"id":518,"name":519},{"id":553,"name":554},"12","Pharma",[556,559,560,563],{"id":557,"name":558},"110","AI",{"id":423,"name":424},{"id":561,"name":562},"608","Sustainability",{"id":564,"name":565},"890","Sustainable products",{"id":567,"path":568,"sharedTeaserTitle":569,"sharedTeaserRefMedia":570,"sharedTaxrefIndustries":588,"sharedTaxrefExpertises":592},"633","\u002Fen\u002Finsights\u002Fdigital-insurance-shake-up-in-asia","Digital insurance shake-up in Asia",{"id":571,"sharedMediaLegend":204,"mediaImage":572,"name":587},"402",{"url":573,"width":574,"height":575,"alt":576,"title":204,"size":577,"mime":222,"variations":204,"relatedContentVariations":578},"https:\u002F\u002Fcms.zuehlke.com\u002Fsites\u002Fdefault\u002Ffiles\u002Fimages\u002Fasian-insurance-market.jpg",693,520,"Asian insurance market",236197,[579,582,583,585,586],{"name":225,"url":580,"width":574,"height":581},"https:\u002F\u002Fcms.zuehlke.com\u002Fsites\u002Fdefault\u002Ffiles\u002Fstyles\u002Ffocal_point_3_2_small\u002Fpublic\u002Fimages\u002Fasian-insurance-market.jpg.webp?itok=MEulv0kt",462,{"name":225,"url":580,"width":574,"height":581},{"name":485,"url":584,"width":574,"height":581},"https:\u002F\u002Fcms.zuehlke.com\u002Fsites\u002Fdefault\u002Ffiles\u002Fstyles\u002Ffocal_point_3_2_medium\u002Fpublic\u002Fimages\u002Fasian-insurance-market.jpg.webp?itok=-Pt0NFZS",{"name":485,"url":584,"width":574,"height":581},{"name":485,"url":584,"width":574,"height":581},"asian-insurance-market.jpg",[589],{"id":590,"name":591},"11","Insurance",[593,594,595,598,601,604],{"id":557,"name":558},{"id":423,"name":424},{"id":596,"name":597},"19","Digital strategy",{"id":599,"name":600},"886","Tech innovation",{"id":602,"name":603},"891","New technologies",{"id":527,"name":528}]