Real-time Data Analytics in Change Management

Remote. Hybrid. RTO. Async. The headlines change, but the challenge remains: 𝐇𝐨𝐰 𝐚𝐫𝐞 𝐭𝐡𝐞𝐬𝐞 𝐜𝐡𝐨𝐢𝐜𝐞𝐬 𝐫𝐞𝐚𝐥𝐥𝐲 𝐬𝐡𝐚𝐩𝐢𝐧𝐠 𝐲𝐨𝐮𝐫 𝐨𝐫𝐠𝐚𝐧𝐢𝐳𝐚𝐭𝐢𝐨𝐧? At Included, we’ve analyzed over two years of workforce data—spanning industries and operating models. The findings are clear: workplace strategies have deep, measurable impact on: → Leave of absence trends → Attrition risk and burnout signals → Productivity fluctuations → Performance by role and cohort → Overall organizational health One client’s hybrid model was unraveling mid-year—engagement dropped, burnout spiked. But because they were tracking 𝐫𝐞𝐚𝐥-𝐭𝐢𝐦𝐞 𝐬𝐞𝐧𝐭𝐢𝐦𝐞𝐧𝐭, 𝐰𝐨𝐫𝐤𝐥𝐨𝐚𝐝 𝐝𝐢𝐬𝐭𝐫𝐢𝐛𝐮𝐭𝐢𝐨𝐧, 𝐚𝐧𝐝 𝐜𝐨𝐥𝐥𝐚𝐛𝐨𝐫𝐚𝐭𝐢𝐨𝐧 𝐩𝐚𝐭𝐭𝐞𝐫𝐧𝐬, they caught the signals early. Within weeks, they pivoted: ✔ Restructured teams ✔ Up-skilled managers with targeted coaching ✔ Recalibrated KPIs based on workflow insights By Q3, attrition was down 19%. Productivity rebounded. 𝐖𝐡𝐚𝐭 𝐬𝐚𝐯𝐞𝐝 𝐭𝐡𝐞𝐦 𝐰𝐚𝐬𝐧’𝐭 𝐚 𝐬𝐭𝐚𝐭𝐢𝐜 𝐩𝐨𝐥𝐢𝐜𝐲. It was AI-fueled visibility—and the willingness to act on it. In a world where the “future of work” changes monthly, static dashboards won’t cut it. Dynamic, adaptive insight is the only way forward. #chro #hr #datainsights #dataanalytics

Managing a business with yesterday’s data is like driving while looking in the rearview mirror. A few weeks ago, I shared how we’re using AI to drive better outcomes for our partners and their merchants. But generating meaningful insights takes more than just smart tools — it requires a shift in mindset. At NMI, we’re moving from 𝘳𝘦𝘢𝘳𝘷𝘪𝘦𝘸 𝘮𝘪𝘳𝘳𝘰𝘳 𝘮𝘦𝘵𝘳𝘪𝘤𝘴 to 𝘸𝘪𝘯𝘥𝘴𝘩𝘪𝘦𝘭𝘥 𝘮𝘦𝘵𝘳𝘪𝘤𝘴: real-time signals that help us actively steer the business forward, not just analyze where we’ve been. As part of this shift, we’ve developed multi-point partner health scores that give us a holistic, dynamic view of customer health across our ecosystem. To enable this, we’ve: •Integrated analytics into our channel account dashboards (and update them monthly) •Blended signals from product usage, billing, support interactions, and customer sentiment •Invested in streaming data to spot lags in transactions and provide more consultative, timely support Real-time insights allow us to act on what we see. These insights feed into our regular partner health check-ins, and when warning signs appear, we proactively reach out to help partners course-correct. Windshield metrics not only help us manage our business more effectively, they also enable us to better support our partners. Over time, our goal is to evolve these analytics into a solution our partners can offer to their own merchants, strengthening every link in the value chain — from NMI to our partners, and from our partners to their customers. Moving towards windshield analytics is just one way we’re continuously evolving to enhance the partner experience. How does your organization approach data? Are you still operating on “rearview” insights? Or have you adopted real-time analytics? Let me know in the comments! 👇 #Fintech #Metrics #RealTimeInsights #TechLeadership #DataDrivenLeadership

Flink + Iceberg: A Game Changer for Realtime Analytics Products 🚀 Batch data pipelines are fading. We need data NOW as users and systems demand insights in seconds, not hours. But real-time data is messy. Why? Because... it's siloed across streams, and historically hard to unify in governed, queryable stores. Here’s how to design a future-proof real-time lakehouse with Flink and Iceberg: 🌀 Event-Driven Ingestion Apache Flink processes Kafka streams with low-latency, high-throughput pipelines. Transformations, filters, joins all in motion. 📓 Change Data Capture (CDC) Real-time CDC (Debezium, Flink CDC) captures database changes as event streams, no polling, no delays. Insert/update/delete operations are translated into Iceberg’s versioned table format. 🧊 Streaming into Iceberg Flink writes directly to Apache Iceberg tables with schema evolution, partitioning, and ACID guarantees enabling real-time upserts into your data lake. 🪞 Time Travel + Snapshots Iceberg automatically tracks changes and retains snapshots. Need to rewind to yesterday’s state or compare versions? It’s built-in ! ⚙️ Schema Evolution in Motion Flink + Iceberg handle evolving schemas without pipeline rebuilds. Add a column in your app? It propagates and lands safely in Iceberg with full type safety. 📈 Unified Analytics Streamed data lands in Iceberg tables that are queryable in Trino, Spark, Snowflake, WITHOUT ETL duplication. Real-time + historical analytics in one unified plane. 🔍 Observability + Governance Schema registry, metadata catalog, lineage tracking, and access control are integrated. Every row and change is auditable, not just fast, but trusted. Integrating Flink and Iceberg, you don’t just stream data, you operationalize it, govern it, and query it like a warehouse, in real-time. #data #ai #product

4 ways to bring your data insights up to date with your business needs. Delays in data processing could mean the difference between gaining a competitive advantage and being left in the dust. The leap from predictive to GenAI isn’t just about forecasting—it’s about real-time, responsive actions that adapt to evolving needs. Now here’s the challenge: Without live, high-quality data feeding your AI, you’re stuck with static insights that can’t keep pace. Imagine relying on yesterday’s data to make today’s decisions—slow, reactive, and out of sync with your business environment. If your data can’t keep up, your business risks falling behind faster than you realize. So, how do you close this gap and ensure your AI is powered by real-time insights? 1. Real-Time Data Integration: High-fidelity, real-time data across your systems ensures that every AI-driven insight is based on the most current information. No more “stale” data or delays. 2. Accelerated Decision-Making: Reduce latency between data input and output. This empowers your team to respond in the moment, using actionable insights that drive faster, better decisions. 3. Seamless Multi-Source Data Unification: Incorta unifies complex data across multiple sources, allowing AI models to access and react to all necessary details, making decisions more comprehensive and reliable. 4. Data-Driven Agility: Whether you’re adapting to customer demands or responding to market changes, you need to ensure your AI and automation tools operate with up-to-the-minute information, keeping you agile and ahead of competitors. Ready to supercharge your AI’s responsiveness and accuracy? Let’s do it! ➡ Be sure to follow @Incorta to learn how we provide decision-ready data faster, simpler, and at scale. #digitaltransformation #finance #cfo #data #businessanalytics #generativeai