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Kalman Tiboldi - CTO & Founder at GemOne-TVH - Simplify or Die: Why Complexity Is the Real IT Challenge
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Germany Jul 14, 2025 Country Members Virtual german
Unsere Wissensaustausch-Briefings "AI & Data Knowledge Transfer" zielen darauf ab, CIDOs und Senior Digital Leaders mit praktischen Anwendungen und umsetzbaren Erkenntnissen von Fachexperten zu vermitteln, die den Weg für transformative digitale Reisen ebnen.
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Poland Jul 16, 2025 All Members Physical Polish
COMMUNITY EVENT WROCŁAW
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Germany Jul 17, 2025 Country Members Physical german
Ein Sommerabend über den Dächern Münchens. Ein Glas kalifornischer Wein in der Hand. Und ein ehrlicher Austausch unter Gleichgesinnten. In entspannter Atmosphäre sprechen wir mit CIOs, CDOs und CTOs der CIONET-Community über die Herausforderungen und Chancen, die Künstliche Intelligenz im Umgang mit sensiblen Unternehmensdaten mit sich bringt.
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Poland Jul 23, 2025 Invitation Only Physical Polish
Zarządzanie zespołami IT nie może opierać się na intuicji. Efektywność wymaga twardych danych i miar. Które zespoły są naprawdę skuteczne? Jak ocenić, ile pracy wymagało wdrożenie konkretnej funkcji? W jaki sposób mierzyć postęp i jakość pracy programistów bez polegania na subiektywnych wskaźnikach? Podczas spotkania CIONET Executive Roundtable porozmawiamy o tym, jak nowoczesne narzędzia analityczne – takie jak BlueOptima – pozwalają na obiektywne i porównywalne mierzenie coding effort, czyli rzeczywistego wysiłku włożonego w rozwój oprogramowania. Takie podejście może wspierać nie tylko kontrolę efektywności, ale też jakość, planowanie zespołów i – w dalszej perspektywie – optymalizację kosztów. W trakcie dyskusji: Wyjaśnimy, czym jest coding effort i jak można go mierzyć niezależnie od technologii czy stylu pracy zespołu. Omówimy, jakie wskaźniki (np. wysiłek dzienny, wskaźnik trudnego do utrzymania kodu, koszt jednostki wysiłku) mają realną wartość dla liderów IT. Pokażemy, jak dane mogą pomóc w identyfikowaniu ryzyk, ocenie jakości kodu i skuteczniejszym zarządzaniu zespołami developerskimi. Zajrzymy też "pod maskę" – jak działa architektura platform takich jak BlueOptima, skąd czerpie dane i jak zapewnia obiektywność metryk. Naszym partnerem w przygotowaniu spotkania jest firma BlueOptima. Gość specjalny Jarosław Wójciński, Head of IT, BENEFIT SYSTEMS podzieli się praktycznymi doświadczeniami z wdrożenia i wykorzystania tej platformy w codziennej pracy działu IT.
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Germany Aug 27, 2025 Country Members Virtual german
Die neuen geo-politischen Veränderungen und unvorhergesehene wirtschaftliche Anforderungen stellen Digital Leader vor neue Herausforderungen. Immer öfter wird in den Vorstandsetagen die Frage gestellt, wie der (IT) Betrieb sicher und ungestört weiter funktionieren kann, wenn regionale Rechenzentren und Infrastrukturen plötzlich nicht mehr verfügbar oder nur teilweise noch einsatzbereit sind. Der CIO muss für diese neue Welt resiliente Strategien parat haben, die für Business Continuity in bisher nicht vorstellbaren politischen und wirtschaftlichen Szenarien ermöglichen.
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Belgium Aug 28, 2025 Country Members Physical english
With the theme “The Power of Connection,” we’re embracing the essence of meaningful connections within IT and beyond. To honour our tradition, expect an unforgettable evening featuring keynote presentations, open bars, a summer BBQ, and a special experience designed to bring our vibrant community together.
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Global fashion leader increases revenue with better data
Burberry uses Databricks & Snowplow to create real-time customer profiles (AI-Ready Customer 360) for personalized service. Faster data insights (no more daily batches) improve in-store recommendations and marketing ROI. The platform respects customer privacy with server-side cookies and GDPR compliance.
Whether they’re looking for the iconic Burberry trench coat or another luxury clothing item, shoppers around the world flock to Burberry stores for a personalized experience. But many browse the company’s offerings online first, a practice known as webrooming. Burberry analyzes online user behavior to determine how they can best improve their service and increase sales. For years, the company pulled clickstream data from a cloud-based data warehouse — but wanted more precise control over data delivery.
“With our data warehouse, we would receive the previous day’s data anywhere between 2:00 and 7:00 PM GMT,” recalled Benjamin Stephens, Senior Manager, Decision Analytics at Burberry. “Although that delivery schedule works for many businesses, we at Burberry are in a constant race to activate our web data so that we can pass it along to our client advisors in stores, worldwide. That kind of speed is essential to offering the level of service for which Burberry is known.”
Burberry also needed greater visibility into their data. The company’s data warehouse automatically pre-aggregated and sanitized Burberry’s data, which made it difficult to trust the details about customer visits. Burberry also needed to validate their web data regularly to ensure it was actionable.
“The more deeply we dug into our data, the less confident we felt in our ability to form conclusions,” said Stephens. “Simple requests such as, ‘What happened on the website yesterday?’ were going unanswered. We often faced the choice of either making a quick decision or making a good one.”
To address these challenges, Burberry implemented the Databricks Data Intelligence Platform and Snowplow’s Behavioral Data Platform (BDP). The solutions enable Burberry to deliver a NextGen CX based on reliable, high-quality data. As clickstream data flows in from Burberry.com, the company uses Snowplow BDP to realize real-time AI-Ready Customer 360s from across their digital touchpoints. From there, the data travels into the Databricks Data Intelligence Platform, which contains 40 personalized models covering tasks such as product recommendations, propensity scoring and lifetime value. These models instantly recalculate the data before sending it to the company’s action system.
“A NextGen CX program is only as good as the speed and accuracy of the data you can get from it,” Stephens explained. “With the Databricks Data Intelligence Platform and Snowplow BDP, we’ve broken free from daily data batches and formed an accurate real-time view of our customers’ digital activity. Our personalized models automatically stay up-to-date by consuming behavioral data. And throughout the process, Snowplow helps us safeguard data privacy by giving us total control over how much information we collect from customers and enabling us to track user consent.”
Burberry also gained a more accurate view of their marketing ROI by refining their approach to marketing attribution. The company used Snowplow to refine their business definitions for all their marketing activities and taxonomies. Using the dbt plug-in for Databricks, Burberry gathered additional detail from their referral sources, consent banners and server-side cookies. As a result, the company has migrated onto a rich and fully owned marketing foundation that uses a simple attribution model to understand what’s working in near-time.
“Using behavioral data from Snowplow, we’ve formed a last-click attribution view that incorporates some of the many variables from our work,” Stephens added. “We’ve gotten much smarter about how we create our data lead attribution models, which will help us make better decisions about where to invest our marketing spend in the future.”
After implementing Databricks and Snowplow, Burberry has overcome many of their longstanding personalization challenges. Previously, the company faced a severe limitation in using cookies because the Safari browser limits cookie duration to seven days. After switching to server-side cookies with Snowplow, Burberry’s cookies are now valid for 12 months. Best of all, server-side cookies are much better than third-party cookies for respecting customer privacy and adhering to General Data Protection Regulation (GDPR) — top priorities for Burberry.
“Going from one week to one year for our anonymous cookies is a ridiculous uplift,” said Stephens. “When we can hang onto a user for up to a year, there’s a much greater likelihood that they will identify themselves at some point by clicking on an email. That enables us to tie their history back to an actual customer and begin to provide them with more personalized service.”
Burberry’s focus on offering better service to webrooming customers has also paid off. The average webrooming journey lasts two to six hours from the time a Burberry customer begins browsing online to the time they arrive at a Burberry store. With Databricks and Snowplow, Burberry delivers data to their client advisors in time for them to provide knowledgeable service based on the online behavior of opted-in customers.
“Our client advisors can pull out their iPad or iPhone devices to gain an instant view of what a customer really wants and which products to recommend,” Stephens remarked. “That’s crucial to making sales, because if we miss that opportunity, we may have to wait another week or two until the customer returns. There’s no chance we would be able to support this use case if we were still getting our clickstream data in daily batches.”
The synergy between Databricks and Snowplow allows Burberry to consume clickstream data on their own schedule, rather than the schedule of their data provider. “We’re working on getting data latency down to five minutes, which is huge for a business like ours,” Stephens concluded. “Snowplow enabled us to replace multiple data sources and their transformations with a single set of definitions. And we lean on Databricks to combine many different behaviors from different sources and at different cadences. This is the beginning of a whole new age of customer service at Burberry.”
Kalman Tiboldi - CTO & Founder at GemOne-TVH - Simplify or Die: Why Complexity Is the Real IT Challenge
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Isabelle Droll - CIO for Airline, Corporate, Hotels & Resorts and Sustainability at TUI - Data, Diversity, and Destinations
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Sharon Prior - CIO in transition - How Great Tech Leadership Begins with Business Thinking
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José Antonio López, Group CIO at TOUS - Jewels, Data & AI: Inside the Digital Transformation of TOUS
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Tom Tanghe - General Manager ITC EMEA at Daikin Europe - Reinventing the CIO Role
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CIOFEST 2025 - From Order Taker to Proactive Disruptor
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A dinner explored integrating digital and robotic tech in surgery, its NHS impact, and solutions for long waiting lists. Sponsored by Johnson & Johnson, it gathered NHS leaders, clinicians, and tech experts to share insights on current uses and future planning for digital healthcare delivery.
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From economic uncertainty to governance, security and trade concerns, today’s IT leaders face unprecedented challenges that require them to navigate, and thrive, in chaos. That, at least, is the proposition of a new sequence of events from Cognizant and CIONET.
This high-energy panel event explored how artificial intelligence is transforming enterprise strategy, operations, and culture. Industry leaders from AstraZeneca, Orange Business, Strategy and Soho House shared how they are reimagining their organisations to stay competitive in the AI era.
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