B2B ad examples

Wat Dicar wilde oplossen, herkent elke groeiende KMO: 01. Te veel Excel ↔ Rapporten versplinterd, manueel opgebouwd, afhankelijk van één persoon. 02. Geen vergelijking ↔ Verschillende systemen, verschillende structuren, moeilijk om filialen op dezelfde manier te bekijken. 03. Geen directe inzichten ↔ Verkoop, marge, voorraad en cashflow, niet snel genoeg om op te sturen. Vandaag staan al die processen samen in één BI-omgeving. Lees hoe Dicar dat aanpakte. #BeslistBeter #BusinessIntelligence #KMO #DataDrivenGrowth

Veel KMO-leiders schrikken terug voor BI omdat het klinkt als een IT-project van een jaar. Bij Dicar was de zoektocht hetzelfde. "We wilden vermijden dat we in complexiteit zouden belanden. Het moest begrijpbaar blijven voor iedereen." Met InsightData kreeg Dicar geen developer-afhankelijke tool, maar een BI-omgeving die finance, sales, operations en supply chain begrijpt. Elke app live in 8 weken. Geen IT-traject van meer dan een jaar. Lees de Dicar case study en zie hoe zij dat aanpakten. #BeslistBeter #BusinessIntelligence #PlugAndPlay #KMO

Most leadership teams aren't missing data. They're missing a way to get answers from it without a 3-day wait, a Slack thread, and a spreadsheet nobody fully trusts. DataBlueprint connects every system you run and returns any answer in plain English; sourced, traceable, ready before the meeting starts. Free to start. No credit card.

Your dashboards show the numbers. They won't tell you why margin dropped, which customers are at risk, or where the gap is coming from. DataBlueprint connects every system you run into one Knowledge Graph and answers any business question in plain English; every answer traceable to the exact row, system, and document it came from. Free Forever plan. No credit card. Live in 15 minutes.

June newsletter, out now 👇

You do not need to trade Spark compatibility for infrastructure control. IOMETE gives data teams the Spark, SQL and notebook workflows they know—on infrastructure they control. Customers save 2–5x over cloud-only platforms. See the cost model →

JULY 1: Our 30 minute upcoming session covers how teams are using Lumi to do more with Splunk and modern observability stacks, without re-platforming. We’ll also give you a first look at our newest feature, Lumi Loglake, which queries unstructured logs directly where they already live in S3, Delta Lake, Apache Iceberg, and other open storage, bringing a true lakehouse (separated compute and storage) architecture to your observability and SIEM data. We’ll walk through real workflows and answer your questions live. Register here: https://bit.ly/4eXl3zW

Messi data? Not our game. We keep score, so you never lose sight of what's happening on the field. https://lnkd.in/dT3QPvPJ

Is your current proxy setup creating more risk than data? Infatica.io gives you a straightforward upgrade path: an enterprise-grade proxy and web data platform built on verifiable, ethical sourcing, revocable opt-in peers, strong KYC, and tight abuse prevention, so you maintain global coverage, 99.9% uptime, and flexible HTTP(S)/SOCKS5 access while staying squarely on the right side of compliance and internal policy.

Your proxy provider got blocked❓ Infatica.io gives you a path forward. Our enterprise-grade proxy and web data platform is built on verifiable, ethical sourcing with revocable, opt-in peer participation, strong KYC, and abuse prevention. You still get global coverage, 99.9% uptime, and flexible HTTP(S)/SOCKS5 access, without compromising compliance.

Address validation built for Lovable

Want to start your day with a clear overview of observed price, promotion and listing changes across retailers? IPV Data gives you a daily update before 8am on observed price, promotion and listing changes from the past 24 hours: • Product-level changes • Price changes from the past 24 hours • Direct links to the detailed product view • Filter options by retailer or category Stay informed about the latest observed market changes across retailers. Book your demo → https://lnkd.in/eeDvFe-T

📢 Restez en conformité RGPD en sécurisant vos données donateurs ! Une donnée donateur incomplète ou obsolète dans votre CRM, ça peut être un reçu fiscal jamais délivré, des coûts de PND élevés et une relation donateur dégradée. 💡 IDAIA a la solution pour vérifier et mettre à jour votre base de données donateurs ! Envie de connaître la qualité de votre base ? IDAIA réalise un audit gratuit complet 👀

✅ À partir de l'analyse de votre base actuelle, IDAIA construit votre stratégie look-alike : profils similaires à vos meilleurs donateurs (âge, niveau de richesse, environnement, centres d'intérêt) et scoring pour cibler les prospects à fort potentiel de don. Découvrez comment enrichir votre base pour recruter de nouveaux donateurs. 🔍 Envie de connaître la qualité de votre base ? IDAIA réalise un audit gratuit complet 👀

Generally, AI systems look simple from the outside. At least that's what they're often polished up to appear: a model, some data, a prediction, and perfect output. By now most are catching on that the engineering reality is different. Google's research on hidden technical debt in machine learning systems showed that the actual ML code is a small piece of what a production system needs. Configuration, data verification, feature extraction, resource management, monitoring, serving infrastructure: all of it sits around the model, and all of it needs to be maintained. Nearly a decade later, this hasn't changed. If anything, it's proven more relevant than ever. In this video, Martin does a short walkthrough of that framework and what it means for teams scoping AI work. Worth watching to make sure you avoid technical debt in your AI project. If you're interested to learn more about what our team has developed in terms of papers, guides, and more, feel free to reach out.

Google's research on hidden technical debt in machine learning systems showed that the actual ML code is a small piece of what a production system needs. Configuration, data verification, feature extraction, resource management, monitoring, serving infrastructure: all of it sits around the model, and all of it needs to be maintained. Nearly a decade later, this hasn't changed. If anything, it's proven more relevant than ever. Generally, AI systems look simple from the outside. At least that's what they're often polished up to appear: a model, some data, a prediction, and perfect output. By now most are catching on that the engineering reality is different. In this video, Martin does a short walkthrough of that framework and what it means for teams scoping AI work. Worth watching to make sure you avoid technical debt in your AI project. If you're interested to learn more about what our team has developed in terms of papers, guides, and more, feel free to reach out.

Moving from Oracle to Power BI? The switch is set in the right direction. 🚆📊 For the international railway organisation RailNetEurope, we used a PoC to validate how different types of reports could be migrated from Oracle Analytics Server to the modern Power BI environment. What did we achieve? ✓ 10 migrated reports ✓ 6 semantic models ✓ a real-time dashboard and map-based reports ✓ a custom Microsoft-certified visual ✓ 30 hours of consulting and training RailNetEurope gained a validated technical foundation, a recommended architecture and the know-how needed for the next phase of the migration. See how we put their reporting on a new track. 🚀

A successful migration from Oracle Analytics Server to Power BI starts with a validated technical concept. For RailNetEurope, we delivered a Proof of Concept designed to validate the migration of different report types to Power BI and establish a solid technological foundation for further analytics development. What did we achieve? ✅ 10 migrated reports ✅ 6 semantic models ✅ a real-time dashboard and map-based reports ✅ a custom Microsoft-certified visual ✓ 30 hours of consulting and training RailNetEurope now has a fully operational environment, a recommended architecture and a clear roadmap for the next phase of the migration. Read the case study to learn how the risks of moving to Power BI can be reduced.

Why organizations are replacing legacy MDM complexity with OpenDQ-Matrix360’s zero‑license economics, audit‑ready data trust, and scalable identity resolution built for billions of records.

𝐀 𝐜𝐨𝐦𝐩𝐥𝐞𝐱 𝐦𝐢𝐠𝐫𝐚𝐭𝐢𝐨𝐧 𝐜𝐚𝐧 𝐦𝐞𝐚𝐧 𝐜𝐨𝐬𝐭𝐥𝐲 𝐝𝐞𝐥𝐚𝐲𝐬, 𝐩𝐞𝐫𝐟𝐨𝐫𝐦𝐚𝐧𝐜𝐞 𝐢𝐬𝐬𝐮𝐞𝐬, 𝐚𝐧𝐝 𝐮𝐧𝐞𝐱𝐩𝐞𝐜𝐭𝐞𝐝 𝐡𝐞𝐚𝐝𝐚𝐜𝐡𝐞𝐬. With NetApp Instaclustr, you get OpenSearch® experts by your side to help you navigate the move and build the right path forward. Make your migration simpler, smoother, and more predictable. Book a free consultation.

Move your Cassandra® workloads to NetApp Instaclustr for 𝐥𝐞𝐬𝐬 𝐨𝐩𝐞𝐫𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐜𝐨𝐦𝐩𝐥𝐞𝐱𝐢𝐭𝐲 and more freedom to scale. Get fully managed, 100% 𝐨𝐩𝐞𝐧 𝐬𝐨𝐮𝐫𝐜𝐞 Cassandra with 𝐞𝐧𝐭𝐞𝐫𝐩𝐫𝐢𝐬𝐞-𝐠𝐫𝐚𝐝𝐞 𝐬𝐞𝐜𝐮𝐫𝐢𝐭𝐲 and 𝟐𝟒×𝟕 𝐞𝐱𝐩𝐞𝐫𝐭 𝐬𝐮𝐩𝐩𝐨𝐫𝐭—without the burden of managing it all yourself.

No sign-up. No fees. An instant dashboard report. Meet ✨Riva Vision✨ your new lifesaver when it comes to last-minute reports. Simply drop in a PDF or a screenshot, and our powerful agent will generate a custom dashboard for you, ready to share. Try our platform's most powerful feature with no strings attached. https://lnkd.in/eTqT-kwx/?utm_campaign=RivaVision%257CJuly%257C2026&utm_source=linkedin&utm_medium=paid&utm_id=1186844676&hsa_acc=509065338&hsa_cam=1186844676&hsa_grp=861550956&hsa_ad=1513082226&hsa_net=linkedin&hsa_ver=3

Not every AI project deserves investment. Tobias Zwingmann discusses his one simple rule to determine which ones get funded in his InterSystems READY 2026 Keynote.

70% of companies are actively using AI. 80% are seeing no productivity impact. Watch Tobias Zwingmann's InterSystems READY 2026 Keynote to learn how to avoid this trap.