Belgium 30-9-25 Squad Only Virtual english
Everyone has technical debt. The question is what to do with it. Refactor now? Wait for the next feature? Build on it and hope it holds? If you’re tired of debating whether to clean up or move on, this session helps you frame the debt conversation in a way that supports both speed and stability.
Read MoreBelgium 1-10-25 Invitation Only Physical english
In today’s rapidly evolving technological landscape, organisations face a critical challenge: how to modernise their legacy systems while managing costs, maintaining security, and ensuring operational continuity. This exclusive round table discussion brings together CIOs, CTOs, and Digital Leaders to explore best practices for legacy and lifecycle management. Key topics include extending the lifespan of existing systems, mitigating cyber security risks, optimising costs, and integrating legacy platforms with modern technologies. We’ll also delve into sustainability, workforce challenges, and future-proofing IT infrastructures to navigate technological obsolescence.
Read MoreBelgium 2-10-25 Squad Only Virtual english
Architecture doesn’t happen in diagrams. It happens in minds, seasoned, curious, sharp minds that understand how the pieces fit. But who’s shaping these minds? Who’s growing the next generation of digital architects? If you’re responsible for complex systems, and for the people designing them, this session is for you.
Read MoreSeptember 30, 2025 Squad Session Squad Only Virtual english
Everyone has technical debt. The question is what to do with it. Refactor now? Wait for the next feature? Build on it and hope it holds? If you’re tired of debating whether to clean up or move on, this session helps you frame the debt conversation in a way that supports both speed and stability.
Read MoreOctober 2, 2025 Squad Session Squad Only Virtual english
Architecture doesn’t happen in diagrams. It happens in minds, seasoned, curious, sharp minds that understand how the pieces fit. But who’s shaping these minds? Who’s growing the next generation of digital architects? If you’re responsible for complex systems, and for the people designing them, this session is for you.
Read MoreOctober 14, 2025 Squad Session Squad Only Virtual english
Agile delivery often collides with inflexible infrastructures. One team wants to release weekly. Another is waiting six months for a new test environment. Sounds familiar? If your infra team is tired of being the bottleneck, and your devs are tired of waiting, this session opens a path forward.
Read MoreGlobal 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.”
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Digital Transformation is redefining the future of health care and health delivery. All stakeholders are convinced that these innovations will create value for patients, healthcare practitioners, hospitals, and governments along the patient pathway. The benefits are starting from prevention and awareness to diagnosis, treatment, short- and long-term follow-up, and ultimately survival. But how do you make sure that your working towards an architecturally sound, secure and interoperable health IT ecosystem for your hospital and avoid implementing a hodgepodge of spot solutions? How does your IT department work together with the other stakeholders, such as the doctors and other healthcare practitioners, Life Sciences companies, Tech companies, regulators and your internal governance and administrative bodies?
Read MoreThe Telenet Business Leadership Circle powered by CIONET, offers a platform where IT executives and thought leaders can meet to inspire each other and share best practices. We want to be a facilitator who helps you optimise the performance of your IT function and your business by embracing the endless opportunities that digital change brings.
Read MoreDécouvrez la dynamique du leadership numérique aux Rencontres de CIONET, le programme francophone exclusif de CIONET pour les leaders numériques en Belgique, rendu possible grâce au soutien et à l'engagement de nos partenaires de programme : Deloitte, Denodo et Red Hat. Rejoignez trois événements inspirants par an à Liège, Namur et en Brabant Wallon, où des CIOs et des experts numériques francophones de premier plan partagent leurs perspectives et expériences sur des thèmes d'affaires et de IT actuels. Laissez-vous inspirer et apprenez des meilleurs du secteur lors de sessions captivantes conçues spécialement pour soutenir et enrichir votre rôle en tant que CIO pair. Ne manquez pas cette opportunité de faire partie d'un réseau exceptionnel d'innovateurs numériques !
Read MoreCIONET is committed to highlighting and celebrating female role models in IT, Tech & Digital, creating a leadership programme that empowers and elevates women within the tech industry. This initiative is dedicated to showcasing the achievements and successes of leading women, fostering an environment where female role models are recognised, and their contributions can ignite progress and inspire the next generation of women in IT. Our mission is to shine the spotlight a little brighter on female role models in IT, Tech & Digital, and to empower each other through this inner network community.
Read MoreWould you like to know more about CIONET Belgium, membership or partnership opportunities? Do you have feedback or any other question? Send us a message!
You can either send us a registered handwritten letter explaining why you'd like to become a member or you can simply talk to us right here!