Astrato Analytics

🤖 🎰 AI assistants are great at talking about data—but can they actually understand it? Ask an LLM for “sales last quarter,” and it might give you bookings, revenue, or transactions—without knowing the difference. It might join the wrong tables, apply the wrong filters, or misinterpret key metrics. Why? Because LLMs don’t understand business context. They don’t know your definitions, relationships, or logic—so they guess. 🤷 Good news is that the Semantic Layer can fix it. Here's how 👇

📊 Traditional BI wasn’t built for AI. Static dashboards, rigid models, and complex workflows don’t cut it anymore. AI assistants and automation are changing the game—business users need real-time, self-service insights, not delays. Join Astrato Analytics & OSS Group Ltd for an exclusive session with Francesco Puppini & our own Konrad Mattheis to explore what’s next for AI-powered analytics and data products. 📚 AI-powered BI is here—learn how AI assistants are transforming data access and self-service analytics. 💡 Smarter insights, faster—simplify reporting so stakeholders can make better decisions in real time. 📊 No more dashboard chaos—cut complexity with AI-driven analytics that reduce manual effort. 🤝 Join the conversation—connect with data leaders shaping the future of BI. Still exporting reports and battling outdated BI tools? It’s time for a smarter approach. 🗓 Auckland: 18th March 2025 (FULL – Join the waitlist!) 🗓 Wellington: 24th March 2025 (Limited Seats Available) 🔗 Register now! 👇

💸 Renewal season is here—are you paying for BI features you don’t even use? Many companies stick with legacy BI out of habit, but with renewals coming up, it’s time to ask: ✅ Are you still paying for costly add-ons? ✅ Are manual extracts & data silos slowing you down? ✅ Is your BI truly AI-ready, or just another dashboard tool? Cloud-native BI slashes costs, removes complexity, and delivers real-time insights. Tu add fuel to the 🔥, take a look at these 6 hidden costs you can slash by moving to the cloud and cloud-native BI!

🌶️🌶️ The unsexy truth about AI in BI... . AI won’t fix broken data, outdated BI, or a lack of self-service—here’s what you actually need: ✔️ Cloud-first, live-query architecture AI won't work with stale extracts or outdated reports. ✔️ Unified, well-governed data AI is only as good as the data it learns from. ✔️ Flexible data models If every new question needs IT, AI won’t help. ✔️Self-service culture AI can’t empower users who aren’t enabled to explore. But if your data is AI-ready, embedding GenAI into your BI makes an impact from Day 1: ✅ Instant insights: ask a question, get an answer – everything's instant. ✅ Contextualized insights: AI + real-time dashboards = context + speed. ✅ Uncover hidden trends: AI finds what you didn’t even know to look for. ✅ Guided analysis: AI helps users dig deeper, not just get quick answers. You can easily achieve these use cases in Astrato today: 👍 Analyze live data directly from your cloud warehouse with AI Insights. 👍 Get smarter summaries & recommendations with AI-assisted storytelling for cleaner, trusted decisions. 👍 Explore data effortlessly with GenAI-driven Smart Charts that suggest the right measures & dimensions. 👍 Break through insight barriers with an AI-guided experience that recommends your next best step. AI is an accelerator, not a replacement.  Pair it with structured, real-time BI, and that’s where the real power is. 

...meanwhile in legacy BI, a true whodunnit? 😭 What made the BI Developer using legacy BI tool cry? ❓Version control chaos—"Who overwrote my dashboard?!" ❓Deploying changes—a thrilling 37-step process. ❓Waiting hours for data to refresh—grab a coffee, binge a show, still not done. ❓User permissions hell—“Why can’t I see the data, but Bob can?” ❓"Can we just add one more filter?"—sure, let me rewrite the whole thing. ❓Dealing with an outdated UI—designed in the ‘90s, but still here. ❓Manually exporting CSVs—and praying nothing breaks in Excel. ❓Fighting with chart formatting—just make the bars the same size, please! ❓ Explaining why dashboards take time—"It’s not magic, Karen." Or maybe all of the above? 🕵 Submit your answer to find out.

🤭  5 things you definitely won't miss about Legacy BI: ❌ Waiting on IT for reports 👉 self-service means you’re in control ❌ Scripting just to customize a dashboard 👉 drag, drop, done ❌ Pixel-perfect reporting that takes forever 👉 Automated & effortless ❌ Confusing, rigid licensing 👉 simple pricing, no hidden costs ❌ Extract-based delays 👉 real-time data, always up to date Which one are you happiest to leave behind? 😅

 🧨 3 Common misconceptions about Data Products:  1️⃣ "Data products are just dashboards." Nope. A real data product doesn’t just display insights—it drives action. Think automation, write-back, and personalized user experiences.  2️⃣ "Only data teams can build them." Not anymore. With modern no-code and low-code tools, product teams can embed intelligence without waiting in the dev queue.  3️⃣ "They don’t scale." Cloud-native data products scale effortlessly—no exports, no slow queries, just real-time insights at any volume. 🎁  Bonus: "Embedded analytics is just a fancy report inside an app." Far from it! A true customer-facing data product is interactive and action-driven. Users don’t just see data—they explore, personalize, and act on insights in real time. What's your take on Data products? Let us know!👇

👉  Swipe to see how Impensa®, Switch RCM, PetScreening, and GoBubble turned analytics into a product their customers pay for. 🫰 🧱 All 4 are built with Astrato + Snowflake. #EmbeddedAnalytics #dataApps

You spend weeks (or months) crafting the perfect dashboard… and then? 👀 Crickets. No one logs in. No one cares. Why? Because: ❌ It’s too complex. ❌ It doesn’t fit into users' workflows. ❌ People love apps, not old-school analytics. The simple way to fix it is to think about analytics as an interactive experience: >> Embedded insights – users get answers inside their workflow >> Automated, scheduled reports – No logins, just data delivered >> AI-powered alerts – Actionable insights, zero friction Give users analytics in a form they’ll actually use (and love). 👇

If Advanced Chart Calculations were a pop culture character, they’d be… Sherlock Holmes 🕵️♂️🔍 Let me explain: – They spot patterns others miss. – They connect the dots between past and present data. – They make sense of chaos, turning messy numbers into clear insights. 💎 3 reasons to use advanced chart calculations: ✅ Spot trends faster – Moving averages smooth out daily fluctuations so you see real patterns. (Are sales actually growing, or just spiking on Fridays?) ✅ Compare performance easily – Month-over-month or year-over-year comparisons help track progress. (Is Q3 better than last year, or are we falling behind?) ✅ Make smarter decisions – Seeing data in context helps businesses react proactively instead of guessing. (If ARR is declining, should we adjust pricing?) 💡 The best part? Unlike other tools (👀 looking at you, Qlik), these calculations in Astrato are a simple click-click in the UI—no scripting required. 🚀