How AI and Data Apps Are Replacing Cubes and Extracts in BI

Dashboards built on cubes and extracts were the last era of BI. AI and data apps on live data are what’s next. Celebal Technologies and Sigma explain why enterprises are leaving MicroStrategy behind—and not looking back. Read more here:

Here’s the thing about legacy #BI systems: they don’t explain “why” metrics shift. #ModernBI solutions do ✅. Many assume data migration is just a tool switch, but AI-driven business intelligence transformation doesn’t just rebuild dashboards, it tells the story behind the numbers 📊✨. Automated reporting, AI-powered insights, and intelligent data visualization replace manual steps. Backlogs shrink, timelines compress ⏱️, and decisions happen faster. What seemed like a migration challenge is actually a lesson in scalable analytics, data-driven decision-making, and actionable intelligence 🚀. 👉Swipe to read and see how Modern BI migration is really different. #ModernBI #BusinessIntelligence #DataMigration #AIDrivenInsights #DigitalTransformation #DataVisualization ##AIinBusiness #Tezo #AIpartner

The latest update for #Qlik includes "Transforming Oil & Gas: How Qlik, Snowflake, and #AWS Are Powering the Future with Generative AI and Unified Data". #analytics #bigdata #BusinessIntelligence https://lnkd.in/dFXKx7BU

Legacy data systems can’t keep up with today’s data explosion. Data Fabric is rewriting the rules, unifying silos, automating workflows, and empowering real-time insights. At Flycatch, we leverage Informatica’s intelligent data fabric architecture to help businesses turn complex data into a strategic superpower. 🔗 Read more: https://lnkd.in/dKgEDRRj #DataFabric #DataManagement #DigitalTransformation #AI #Analytics #Informatica #CloudData #BusinessIntelligence #DataStrategy #TechInnovation

It's a common challenge: Bridging the gap between complex operational data and the people on the front lines who need to make quick, informed decisions. Dashboards and reports are great, but sometimes you just need a direct, conversational answer. 🗣️ That's where Snowflake Intelligence for Manufacturing comes in. It transforms a fragmented data landscape into a unified source of truth, allowing non-technical professionals to ask questions in plain English—like "Why are defect rates increasing?"—and get instant, actionable insights. Check out this article for a perspective on how Snowflake for Manufacturing is moving beyond passive data consumption to a truly interactive experience, freeing up data teams and empowering everyone to make data-driven decisions. 📊 https://lnkd.in/gF8_sMDm

📊 𝐔𝐧𝐥𝐨𝐜𝐤 𝐭𝐡𝐞 𝐏𝐨𝐰𝐞𝐫 𝐨𝐟 𝐃𝐚𝐭𝐚 𝐰𝐢𝐭𝐡 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 & 𝐁𝐢𝐠 𝐃𝐚𝐭𝐚! In today’s digital world, data is more than just numbers — it’s the key to smarter decisions, innovation, and business growth. From finance to healthcare and marketing, data analytics helps organizations uncover insights, optimize performance, and stay ahead in a data-driven era. 💡 Tools like 𝐇𝐚𝐝𝐨𝐨𝐩 and 𝐓𝐚𝐛𝐥𝐞𝐚𝐮 are shaping the future of intelligent data visualization and predictive analysis. #HireBridge #DataAnalytics #BigData #BusinessIntelligence #DataDriven

What if your data warehouse could think, adapt, and deliver insights, not just store them? In our latest blog, we dive into how Azure Synapse is doing exactly that: transforming warehouses into dynamic analytics engines. Think serverless + dedicated pools, intelligent caching, real-time data links, and native integration with Power BI & Spark. It’s not about upgrading your tools. it’s about rethinking how data powers decisions. When you lower latency, automate query tuning, and let business users explore data securely everything changes. 💡 Ready to see what “warehouse 2.0” looks like? 👉 Explore how Synapse is redefining BI: https://lnkd.in/dJB9wZfH #AzureSynapse #IntelligentAnalytics #DataWarehouse #BIReimagined #GhanshyamDataTech #ModernDataStack #RealTimeInsights

🚀 New Video Alert! Did you know that in IBM watsonx BI you can easily monitor the metrics that matter most to your role? Whether you’re in sales, operations, management, or any role where data matters, keeping your key metrics front and center helps you stay focused and make faster decisions. In my latest video, I show you: - How to select metrics you want to follow from your company’s metrics catalog (created and published by your data team) - How to pin charts directly from your conversations and start monitoring them instantly - How to unpin metrics when you no longer need them It’s a quick, practical tip, but it can make a big difference in your daily workflow. 📺 Watch it here: https://lnkd.in/dJyPcqyQ #watsonxBI #watsonx #Analytics #IBM

APIs helped us move data. MCP will help our systems understand it. In this piece, I explore how the Model Context Protocol changes analytics from dashboards to reasoning — and what product managers can do right now to prepare. https://lnkd.in/gQdKq2sf

Title: Simplifying Data Vault 2.1 — PIT, Bridge, and Hybrid Tables Explained 👇 When we talk about Data Vault 2.1, one of the biggest strengths is how it balances flexibility, history tracking, and performance. Yet, many still find the concepts of PIT and Bridge tables a bit abstract. So here’s how I like to visualize them: 🔹 PIT (Point-In-Time) Table Think of it as a snapshot that tells you what your data looked like at a specific moment — without re-joining multiple Satellites every time. It’s your performance accelerator for “as-of” queries. 🔹 Bridge Table This one simplifies many-to-many relationships (like Customers ↔ Products). Instead of multiple joins, it gives a ready path for analysis — perfect for BI tools. 🔹 PIT-Bridge Hybrid A smart blend of both worlds — it provides time-aware relationships, enabling fast analytics that respect both context and chronology. I’ve added a visual below that shows how Hubs, Links, Satellites evolve into PIT, Bridge, and Hybrid tables within the Business Vault — leading all the way to Information Marts and dashboards. 📊 Data Vault done right is not just about modeling — it’s about making data trustworthy, queryable, and scalable.