Running manual campaigns to “save time” usually ends in one of two ways: -No data -No explanation -You, hiding behind a whiteboard in the meeting room Gleam gives your team: ✔️ Structured stats ✔️ Entry validation ✔️ Real-time reports Avoid the awkward. https://ref.gg/gn8

Have you ever had a presentation that looked perfect — but didn’t deliver the results you expected? You prepared everything, the design was great, the data was accurate… But during the meeting — silence. The client didn’t ask questions, the team looked confused, and the key message got lost somewhere. Why does this happen and how can you avoid it? Let’s break it down 👇

From manual audits, to silent tracking breaks, to debugging in the dark — these are the 3 analytics nightmares haunting digital teams everywhere 🎃 👉 Swipe to see Trackingplan exorcising tracking terrors, one headache at a time.

Another mic-drop moment! 👊🎤💥 Task Checklists have been launched, a new feature designed to bring more structure, accountability, and visibility to task management. 💙 You can now add up to 10 checklist items to any task 💛 You can now mark checklist items as mandatory, helping ensure nothing gets overlooked 💙 You can now automatically track who completed each item and when Quick tip: The MI Report: Tasks will showcase the data back for interrogation

🚀 Heading to DICE Central tomorrow? Don’t miss the panel: "Strategic Site Selection: Grid Proximity & Land Scarcity," moderated by Sarp Ozkan, VP of Commercial Product at Enverus. Data center demand is surging but choosing the right site has never been more complex. ⚡ Grid access, land availability and market dynamics can make or break a project. In the meantime, check out our e-book, "Strike Gold with Data Centers," to leverage data-driven insights for smarter siting and development decisions. https://lnkd.in/eRjq9rVy

Analytics teams know: speed matters. But speed often means tradeoffs — either complex tuning or duplicated data models. With Aggregate Awareness, we remove that tradeoff.
 Aggregate Awareness automatically redirects analytical queries to the most performance-efficient dataset based on the required level of detail, with no user action needed. It’s optimization without the extra work. See how it works in the demo video from Principal Product Manager, Jakub Sterba. ⬇️

Proof > promises. Three lightweight artifacts that travel well on LinkedIn: - Redacted dashboard: a single KPI with a circle around the change window. - Before/After pair: one line each, same unit, same timeframe. - Quote in their words: 10–15 words, no adjectives added by you. Mini example: “Booked calls/week: 3.2 → 6.1 (Sep 2–23).” Keep it boring and undeniable.

I once asked a client how many enquiries they got in a month. They guessed. When we set up proper tracking, they realised they were way off, not just in volume, but in how many they were losing through slow follow-up. Knowing the real numbers changed everything. They could finally see what was working, what wasn’t, and where to focus their time and budget. Even a simple spreadsheet is better than memory. Because you can’t grow what you don’t measure.

Deadlines don’t slow down just because your team is logging in from five different time zones. That’s why we created this quick guide – to help cut through the chaos: https://hubs.ly/Q03N62Lc0

Data Quality Is the Silent Killer How often do you check your pipeline outputs, not just whether they ran? Passing jobs can still push garbage. Data observability isn’t optional anymore. My take: Alerts on job success are table stakes. Alert on trust. #DataQuality #DataObservability #AzureDataFactory #MonteCarlo #DataOps