DinMo

If you're a data leader, here's why leading with technology with fail you…   Too many data leaders fall into the same trap.   They lead with technology.  “Let’s modernise the warehouse.” “Let’s roll out dbt.” “Let’s re-platform to Snowflake.”   Six months later: - The dashboards are still unused - The business still works in Excel - And execs are asking: “What’s the actual impact here?” - Because the issue was never the tooling — it was the lack of a use-case driven strategy.   ❌ 𝐖𝐡𝐲 𝐭𝐞𝐜𝐡-𝐟𝐢𝐫𝐬𝐭 𝐟𝐚𝐢𝐥𝐬 (𝐚𝐥𝐦𝐨𝐬𝐭 𝐞𝐯𝐞𝐫𝐲 𝐭𝐢𝐦𝐞):   1️⃣ It assumes the tool is the value 2️⃣ It creates months of invisible progress 3️⃣ It sidelines stakeholders from the start 4️⃣ It burns trust before it builds anything usable   The result?   A beautiful stack no one uses.   A burned-out team.   And a roadmap nobody believes in.   ✅ 𝐒𝐨 𝐰𝐡𝐚𝐭 𝐬𝐡𝐨𝐮𝐥𝐝 𝐲𝐨𝐮 𝐝𝐨 𝐢𝐧𝐬𝐭𝐞𝐚𝐝?   Lead with use cases — not architecture.   Here’s how to make that shift:   1. Start with pain, not platforms Ask stakeholders: “What’s the decision you can’t make today?” “What report slows you down every week?” “Where are you guessing instead of knowing?” That’s your roadmap.   2. Prioritize by impact, not complexity Deliver outcomes in 2–4 week cycles Tie every initiative to a metric the business cares about (revenue, cost, churn, time saved)   3. Co-create solutions with your users Mockups > Models. Whiteboards > Warehouses. If they help shape the solution, they’ll use it — and defend it.   4. Use the right tool only after you understand the job Snowflake, dbt, Fivetran, Power BI — great tools. But they don’t matter if they’re not solving something that’s costing the business real time or money.   ------- 📌 𝐓𝐡𝐞 𝐭𝐚𝐤𝐞𝐚𝐰𝐚𝐲?   Don’t lead with tech. Lead with problems worth solving — and let the tech follow. That’s how you ship faster, build trust, and become a business partner… not just a data function.   Have you shifted from a tech-first to a use case–driven strategy? Let me know what changed for you? 👇

✨Quarter Recap✨ Yesterday, we wrapped up the quarter in the best possible way with our Quarter Launch — a special moment to reflect on our achievements and look ahead to the goals to come 🎯. More than just a recap, this event was a perfect opportunity to celebrate team wins, share our ambitions for the next quarter, and step outside our daily routines to reconnect and recharge. It was also an ideal moment to bring together our teams from France 🇫🇷 and the UK 🇬🇧, and further strengthen the bonds that drive our collective success. Moments like these fuel our energy, sharpen our focus, and remind us what we can achieve when we move forward as one team 🤝. Here’s to what’s next, with the same energy and drive to go even further at DinMo 🚀 #QuarterRecap #TeamSpirit #DinMo #TeamGoals

Most data roadmaps are built 𝑓𝑜𝑟 the business. Here’s why the best ones are built 𝑤𝑖𝑡ℎ them.   We’ve all seen it happen.   The data team spends weeks crafting a strategic roadmap.   It's technically solid. Logically sequenced. Tooling is best-in-class.   But… The business ignores it. Priorities are constantly questioned. You keep hearing: “Can we also add this thing in?”   What went wrong? Simple: The roadmap was announced — not co-created.   Here’s how to fix that 👇   𝐖𝐡𝐲 𝐂𝐨-𝐂𝐫𝐞𝐚𝐭𝐢𝐨𝐧 𝐁𝐞𝐚𝐭𝐬 𝐏𝐫𝐞𝐬𝐞𝐧𝐭𝐚𝐭𝐢𝐨𝐧   When you involve stakeholders in the shaping of the roadmap: ✅ You get real use cases, not assumed ones ✅ You uncover blockers early ✅ You build champions before you even ship   It’s the difference between alignment and adoption.   𝐇𝐞𝐫𝐞'𝐬 𝐅𝐢𝐯𝐞 𝐒𝐭𝐞𝐩𝐬 𝐭𝐨 𝐂𝐨-𝐂𝐫𝐞𝐚𝐭𝐞 𝐘𝐨𝐮𝐫 𝐃𝐚𝐭𝐚 𝐑𝐨𝐚𝐝𝐦𝐚𝐩 (𝐖𝐢𝐭𝐡𝐨𝐮𝐭 𝐭𝐡𝐞 𝐂𝐡𝐚𝐨𝐬) 1️⃣ Run problem-framing sessions with each key function Ask: “What’s your most painful data gap today?” “What decisions are you making blind?” "What are the biggest challenges you face in your day-to-day?" 2️⃣ Capture requests in plain business language Avoid technical scoping upfront — start with business outcomes. 3️⃣ Prioritize together, not in isolation Use collaborative frameworks like RICE, MoSCoW, or impact vs. effort mapping with business stakeholders. 4️⃣ Create a shared roadmap that includes delivery and adoption Define what success looks like — not just what’s being built. 5️⃣ Review quarterly with business leads, not just the data team Keep it visible, flexible, and tied to real goals.     If your roadmap doesn’t reflect your stakeholders’ priorities, don’t be surprised when they don’t engage with the outputs.   When people help shape the plan, they champion the results.   💬 What process do you use to gather roadmap input from the business?

🎙️ 𝗗𝗮𝘁𝗮 𝘀𝗼𝘃𝗲𝗿𝗲𝗶𝗴𝗻𝘁𝘆, 𝗰𝗹𝗼𝘂𝗱 𝗶𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲, 𝗴𝗲𝗼𝗽𝗼𝗹𝗶𝘁𝗶𝗰𝘀! In the latest episode of Couch Confidentials, Oussama Ghanmi, CEO of DinMo, joins Matthew Niederberger, founder of Martech Therapy, for a deep dive into one of today’s most pressing questions: 𝗜𝘀 𝗶𝘁 𝘀𝘁𝗶𝗹𝗹 𝘀𝗮𝗳𝗲 𝘁𝗼 𝘁𝗿𝘂𝘀𝘁 𝗨𝗦 𝗰𝗹𝗼𝘂𝗱 𝘁𝗼𝗼𝗹𝘀 𝘄𝗶𝘁𝗵 𝘆𝗼𝘂𝗿 𝗱𝗮𝘁𝗮? This conversation explores the shifting landscape of tech independence in Europe: What are the risks tied to foreign jurisdictions? Why is digital sovereignty becoming a strategic priority? How do composable CDPs ensure both agility and compliance? Curious to learn more? Don’t skip this one 🎧 Listen to the full episode — links just below in the comments #ComposableCDP #DataPrivacy #EuropeanCloud #CloudSovereignty

𝗕𝗶𝗴 𝘄𝗶𝗻𝘀, 𝗻𝗲𝘄 𝗳𝗲𝗮𝘁𝘂𝗿𝗲𝘀, 𝗲𝘃𝗲𝗻𝘁 𝗿𝗲𝗰𝗮𝗽 — 𝗮𝗹𝗹 𝗶𝗻 𝗗𝗶𝗻𝗠𝗼’𝘀 𝗹𝗮𝘁𝗲𝘀𝘁 𝗻𝗲𝘄𝘀𝗹𝗲𝘁𝘁𝗲𝗿! From exciting international wins to product updates and major events across Europe, there’s a lot to unpack this month 🚀 👇

Your data project isn’t being blocked because it’s technical. It’s because the business don't care enough...   As data teams, we're often deep in the weeds of technical jargon—ETL, machine learning models, data governance, and whatever else. But here’s where I see the challenge: the success of data initiatives depends hugely on cross-functional buy-in. To get the buy-in from stakeholders across departments, we need to translate our data projects into something that resonates with their objectives, and ultimately makes them care.   Here are my top strategies that can help you achieve this 👇   1️⃣ Start with business goals Always begin by tying your data initiative to the business objectives. Whether it's increasing revenue, or improving customer experience, make it clear how your data project directly supports the company's strategic goals. 🔑 Example: Instead of saying "we’re implementing a data lake," say "this project will help us deliver personalised customer experiences that can increase conversion rates by 25%."   2️⃣ Use their terminology Different departments speak different languages. Make sure your data initiative speaks directly to their goals and pain points. 🔑 Example: For the marketing team, talk about how customer segmentation will improve targeting, leading to more effective ad spend and better engagement rates.   3️⃣ Highlight quick wins & tangible benefits Nobody wants change unless it has a direct positive impact on their role. Show quick wins and tangible outcomes to build momentum and prove the value early. 🔑 Example: Data quality improvements can quickly lead to more accurate sales forecasts, saving time and reducing mistakes in financial planning.   4️⃣ Frame data initiatives as problem-solvers Data must be about solving real business problems. Frame your data project as a solution to specific challenges faced by the business. 🔑 Example: Instead of "we’re improving our data governance," use "this will ensure data accuracy, which improves decision-making and trust across departments."   5️⃣ Collaborate Early and Often Bring in stakeholders early—before you finalise the project scope. This collaboration will align the project with business needs, and everyone will feel involved in the process, increasing their commitment. 🔑 Example: Sales, marketing, and finance teams should be consistently inputting and testing to validate direction and outputs.   6️⃣ Use your data storytelling powers with visuals Good, visual aids like dashboards, charts, and infographics can communicate how the data initiative will benefit the business - this is a data persons superpower.   🔑 Example: Show stakeholders a live dashboard prototype (even a mock-up works) that highlights the decisions they can now make Ultimately, the success of your data initiative depends on alignment. By speaking the language of your stakeholders and focusing on business outcomes, you’ll unlock the full potential of your data strategy 🚀

🚀 𝗪𝗵𝗮𝘁 𝗮𝗻 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲! Our DinMo team had the pleasure of attending the Retail Technology Show in London, one of the UK’s leading retail events, bringing together the most innovative minds in tech and e-commerce. Those two days were full of great meetings, inspiring exchanges, and valuable discussions around real-time customer data activation. A huge thanks to everyone who took the time to visit us! We truly appreciated the meaningful exchanges and shared passion for data-driven growth. 👏 Hats off to the Retail Technology Show organizers for creating such a dynamic and forward-thinking space. If we did not get a chance to meet, it's not too late. Feel free to reach out to our team for a chat! Edward Gibbs Alexandra Knight David Bentham Logan Woodbridge  #RetailTechShow #ComposableCDP #RetailTechnology #DinMo

What happens when your customer data is governed by the wrong jurisdiction? In this episode of Couch Confidentials, I sit down with Oussama Ghanmi, CEO and co-founder of DinMo, a composable CDP vendor headquartered in Paris. With growing political tensions between the US and Europe, and cities like Amsterdam actively moving away from US-hosted platforms, I wanted to understand whether it’s still safe (or smart) for European companies to continue relying on US-based cloud tools. Oussama offers a candid look at the risks European businesses face when their data leaves the continent, and why composable, locally governed architectures are gaining traction. We also talk about building privacy-first tools, data sovereignty, and what it takes to offer enterprise-grade CDP capabilities without compromising on control. This episode is equal parts geopolitics, growth strategy, and a reminder that where your data lives, really does matter. 🎧 Watch/listen to the episode on my Substack channel (https://lnkd.in/eX-ukGNH) or on Youtube (https://lnkd.in/eeQJFTH4). #composablecdp #dataprivacy #gdpr #customerdata #martech #datagovernance #europeancloud #dinmo #cloudsovereignty #saasfounders #martechtherapy #couchconfidentials

AI alone won’t save your customer experience. There’s a common misconception that simply adopting AI will automatically enhance your customer journey and skyrocket your growth. But after working closely with companies leveraging customer data, I’ve realized: AI without operational empathy and execution often fails. Why? 1. AI amplifies what’s already there—both good and bad. If your foundational customer experience is poor, AI will only magnify that. 2. Operational readiness beats AI sophistication every time. Teams overly focused on AI tend to overlook simpler, quicker fixes that provide real value. 3. Relevance matters more than personalization. Your customers don’t care how sophisticated your AI models are—they care about relevance, clarity, and ease of interaction. Instead of chasing shiny AI features, first ask yourself: - Is our core customer experience clear and user-friendly? - Have we addressed operational bottlenecks? - Are we using AI to enhance relevance, rather than complexity? Start with operational empathy. The results will follow. What’s your take? Have you seen AI projects falter due to ignoring these principles?

 🚀 𝗪𝗲 𝗮𝗿𝗲 𝘁𝗵𝗿𝗶𝗹𝗹𝗲𝗱 𝘁𝗼 𝗮𝗻𝗻𝗼𝘂𝗻𝗰𝗲 𝘁𝗵𝗮𝘁 𝗗𝗶𝗻𝗠𝗼 𝗵𝗮𝘀 𝗯𝗲𝗲𝗻 𝘀𝗲𝗹𝗲𝗰𝘁𝗲𝗱 𝗮𝗺𝗼𝗻𝗴 𝘁𝗵𝗲 𝗖𝗹𝗼𝘂𝗱 𝗖𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲𝗿𝘀 𝗧𝗼𝗽 𝟭𝟬𝟬 – 𝟮𝟬𝟮𝟱 𝗲𝗱𝗶𝘁𝗶𝗼𝗻! The Notion Cloud Challengers Report identifies companies that have the potential to disrupt markets, achieve significant growth, and become tomorrow's industry leaders. It’s an honor to be a part of it. This recognition rewards our vision, the value we deliver, and the daily dedication of the entire DinMo team to rethinking how companies leverage Customer Data Platforms! A huge thanks to Notion Capital and Google Cloud for this recognition, as well as for the outstanding work behind this report. Our sincere appreciation also goes to Jos White, Kamil Mieczakowski, Radu Bozga, Michelle Cheng, and Claire Walker for their essential contribution to this benchmark publication.  The 2025 edition highlights several key trends: 💡  49% of selected startups are AI-native 🌍  69% are based in France, Germany or the UK 🔥  And most impressively, Cloud Challengers have raised over $500M in just one year 👏 Congratulations to all the startups selected this year! Your ambition and capacity for innovation are shaping the future of B2B software in Europe and beyond. kapa.ai, Understory, Kerno, Octomind, phospho (YC W24), dltHub, Stackfix, Runware, Crafthunt, Langdock, Workflow, Volter, fynk, Symbe, Phare Health, GlassFlow, Anam, Neuphonic, TORTUS, atla, Lovable, Stema, Round Treasury, simplyblock, montamo, Pruna AI, Langfuse (YC W23), Verax AI, Albatross AI, Quesma, Tibo Energy Management Software, FERO 📥  Curious to see the full ranking and insights? Find the report in the comments! #CloudChallengers #Top100 #AI #CustomerDataPlatform