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🏆 Upgrading to Checkmk Enterprise is more affordable than you might think. With competitive service-based pricing 💰, reduced server utilization costs, and time saved through advanced automation, Checkmk offers great value for cloud and hybrid IT monitoring. 📊 Forecast your total costs of using Checkmk — the award-winning monitoring platform for cloud and hybrid IT infrastructures. #Checkmk #ITmonitoring #MonitoringCosts

If Sisense feels like rocket science to your business users, you're not alone. Analytics should be simple.

Qlik's associative model confusing your users? Complex doesn't mean powerful - simple does.

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Quand Looker ne suit plus les besoins data de vos clients, il est temps de changer. Avec ClicData, créez les indicateurs dont vos clients ont réellement besoin. Moins de limites. Plus de valeur.

Jocelyn Confrère, CTO de l’agence Mo&Jo, cherchait une solution BI plus simple, plus souple, et moins coûteuse. 👉 Il a tout remplacé par ClicData. Résultat : moins de licences, plus d’autonomie, et des dashboards sur-mesure pour chaque client.

CH Master Data Astrein é a maior e pioneira empresa de Gestão de Dados Mestres da América Latina. Asseguramos a padronização e o compartilhamento de informações, evitando compras incorretas, devoluções e cadastros duplicados, resultando na redução de estoques e na diminuição de custos do processo de compras em até 30%.

Agentic AI doesn’t wait for a prompt. And it does more than just answer questions. It monitors KPIs, analyzes trends, creates summaries, and routes insights to your teams based on trusted, governed data. In Episode 2 of our AI in 2026 series, we walk through real examples of what agentic AI can do across revenue management, supply chain, and CX. And we explain how guardrails make it safe and scalable. If you’ve wondered what AI can safely own in your organization, Episode 2 is for you.

This is not another boring trends piece! Our AI in 2026 short video series with Qlik tackles not just HOW AI is going to going to evolve in the year ahead, but also WHAT your business needs to do to be ready. And, we do it in less than 15 minutes an episode. Tune in to episode 1 now.

🚀 Step into the era of Agentic Analytics! 93% of IT leaders report that they intend to introduce autonomous agents within the next 2 years. Say goodbye to slow, manual, error-prone data analysis. With agentic analytics, AI-powered agents deliver automated, accurate, and personalised insights, helping everyone make better business decisions faster. Ready to see how AI is transforming BI and putting insights at your fingertips? 📥 Download our guide to Agentic Analytics now!

Are you ready to make faster, smarter decisions based on your market data? 💡🛒 Join the webinar where we will present how leading CPG companies are using the CatMan product to turn complex Retailer POS and RMS data from NielsenIQ into powerful insights — across brands, channels, customers, stores and campaigns. 📅 Thu, Mar 26 🕙 10:00 - 10:30 Learn how to transform your data into decisions that drive growth.

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𝐖𝐚𝐫 𝐢𝐧 𝐭𝐡𝐞 𝐏𝐞𝐫𝐬𝐢𝐚𝐧 𝐆𝐮𝐥𝐟 𝐢𝐬 𝐝𝐢𝐬𝐫𝐮𝐩𝐭𝐢𝐧𝐠 𝐠𝐥𝐨𝐛𝐚𝐥 𝐭𝐫𝐚𝐝𝐞 𝐢𝐧 𝐫𝐞𝐚𝐥 𝐭𝐢𝐦𝐞. 𝐎𝐢𝐥 𝐬𝐡𝐢𝐩𝐦𝐞𝐧𝐭𝐬 𝐚𝐫𝐞 𝐫𝐞𝐜𝐞𝐢𝐯𝐢𝐧𝐠 𝐦𝐮𝐜𝐡 𝐨𝐟 𝐭𝐡𝐞 𝐚𝐭𝐭𝐞𝐧𝐭𝐢𝐨𝐧, 𝐛𝐮𝐭 𝐭𝐡𝐞 𝐚𝐥𝐮𝐦𝐢𝐧𝐮𝐦 𝐬𝐞𝐜𝐭𝐨𝐫 𝐢𝐬 𝐫𝐞𝐚𝐜𝐭𝐢𝐧𝐠 𝐚𝐬 𝐰𝐞𝐥𝐥. By some estimates, the conflict threatens to disrupt almost 10% of global aluminum capacity shipped via the Strait of Hormuz. CEIC specializes in the supply-chain intelligence and alternative datasets that let you observe the knock-on effects. We’ve charted the surging aluminum price against a key metric for one of the metal’s major consumers: the German auto sector. Producer-price inflation for firms like BMW Group and Mercedes-Benz AG is closely correlated with aluminum. ➡️Download our chart pack on this crucial industrial metal, which includes leading indicators helping predict the future of supply and demand: https://lnkd.in/gcnGDCNe

The marketing team vs. Reality Three weeks ago, I tried to add a policy with our business insurance provider, The Hartford. What followed: multiple calls, voicemails that weren't returned, reps who weren't authorized, and a process that still isn't done. This landed in my inbox from The Hartford this morning... turn AI into Time-Saver

𝐄𝐱𝐩𝐥𝐨𝐫𝐢𝐧𝐠 𝐂𝐡𝐢𝐧𝐚'𝐬 𝐎𝐢𝐥 𝐃𝐞𝐦𝐚𝐧𝐝 𝐃𝐫𝐢𝐯𝐞𝐫𝐬 ISI Markets quantitative economist Jackson Chan discusses how key industries in China are adapting in response to the oil-price shocks resulting from war and blockades. The global oil market's future will be decided as China's aviation, steel, consumer-goods, construction and logistics sectors modify their behavior. CEIC’s China Premium datasets use high-frequency, granular indicators to identify key inflection points ahead of traditional market data releases - providing insights that are relevant to market intelligence, procurement and strategy teams operating in China and the global energy sector. Watch Jackson demonstrate how these insights can help you assess risk in your supply chain, allocate capital and make more confident decisions: https://lnkd.in/eMxyhf8Y #China #oil #EmergingMarkets

Government and intelligence analysts often have the data they need, but not an easy way to connect it. Cambridge Intelligence gives systems integrators the visual analysis technology to bring relationships, events and locations together inside the platforms they deliver.

Embedding Cambridge Intelligence's SDKs means your team can put network, temporal, and geospatial analysis in front of your own clients. Accredited for high-security environments, built for massive data volumes, and backed by hands-on delivery support, it delivers native functionality fully tailored to your offer.

Your AI agent just gave a confidently wrong answer. The model did exactly what it was told. The problem was upstream. Stale snapshots. Missing cross-source context. Raw source code the model can't interpret. Most teams have no fix. Watch CData's Raji Narayanan and Cameron Leblanc connect Microsoft SQL Server, Salesforce, and ServiceNow into one AI-ready pipeline, live. Reserve your spot: https://lnkd.in/dQuZxV9r

Your 11-hour replication window just became 2 hours 41 minutes. CData Sync v26.2 replicated a 360 GB, 1-billion-row SQL Server table into Databricks 76% faster — on the exact same infrastructure. No schema changes. No new hardware. Two engineering changes. One major benchmark shift. The full methodology, partition-tuning results, and exact configuration for Snowflake, Databricks, and Redshift are in the report. Download free → https://lnkd.in/dVtQ74TQ

What if the question isn't "What does it cost to serve our customers?" but "Where do we actually make money?" Join PwC UK and CadDo on 29 September at 11am GMT+1 for our fireside webinar: Rethinking Cost-to-Serve: Using a Profitability Lens to Deliver Insights and Better Decisions In this 30 minute session, we'll explore why traditional cost-to-serve approaches often miss the bigger opportunity: understanding profitability at a granular level and making better decisions across customers, products, channels and the wider value chain. The session will conclude with an interactive Q&A and a discussion around the question that matters most: Where do we truly make money, and what are we going to do about it? Register now.

Organisations today have access to more operational data than ever before, yet many still struggle to translate that data into decisions about where margin is genuinely made and lost. They commonly approach cost reduction and productivity improvement in functional siloes. Ignore the revenue and margin side of the equation and you never get the full story. That is why PwC and CadDo are working together to rethink cost-to-serve: repositioning it from a periodic siloed cost exercise to a continuous driver of profitability and margin management. In this session, PwC UK and CadDo will explore how leading organisations like Unilever and Dot Foods are moving beyond traditional cost-to-serve analysis and adopting an end-to-end profitability lens to drive better decisions.

Prices and demand in CPG move week to week. Approvals often still take a month. That gap is the whole commercial argument for Decision Intelligence, and unlike most AI business cases, you can actually put a number on it. The white paper breaks down what the delay costs across pricing and promotions, and what a realistic first year of fixing it looks like. If you own any of those decisions, our Decision Intelligence paper for CPG is worth the read: https://lnkd.in/eEd4wjbJ

McKinsey surveyed more than 1,200 managers about how their organizations decide. Fewer than half said decisions get made on time. That matches what I see in CPG delivery. The models are fine, the pipeline is fine, and the number on the dashboard is correct. What takes the time is working out what sits behind it, and then the recommendation waits for a planning meeting, a sign-off, or someone to reconcile it against a spreadsheet nobody else can read. We spend a large share of the first phase of Decision Intelligence projects on that stretch specifically. Who owns the decision, what constraints have to travel with the recommendation, and how far in advance it has to arrive to be useful. Clients rarely ask about it upfront. It tends to be where the weeks go. Our C&F paper on Decision Intelligence in CPG covers it in detail: https://lnkd.in/dCfEfTKh

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