Kumar Sista, Your Very Own Loan Officer

Looking to unlock peak Power BI performance with Snowflake? Our latest best practice guide shares expert tips on how to structure and manage your Snowflake data specifically for Power BI. Learn how to:  ➤ Optimize table design for faster queries ➤ Reduce compute costs ➤ Improve dashboard speed Read the full article: https://lnkd.in/e_mTYViM #PowerBI #Snowflake #BestPractices #DataAnalytics #BusinessIntelligence

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Great post. The constant dance between crafting the North Star architecture and dousing the immediate fires is indeed where the real art of architecture lies. It's those daily trade-offs, the guidance provided in countless meetings, and the ability to articulate the 'why' behind technical choices that slowly steer the ship toward the strategic horizon, even amidst tactical storms. It's the rhythm, building the plane while flying it ... And 'Don't Aim for Balance—Aim for Integration' is a fantastic way to frame it; it's less about a perfect split and more about a dynamic rhythm, adapting to the flow of business needs versus architectural evolution.

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If you’re a Salesforce Data Cloud consultant, this one is for you. Vishal shares practical tips straight from his hands-on experience of implementing Data Cloud multiple times. You don’t want to miss this. 👇 #Salesforce #DataCloud #TrailblazerCommunity

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💡 #AgenticAI Is About to Redefine #FP&A #AgenticAI would change Financial Planning & Analysis operating model. #Agents would : -Actively gather and validate inputs across ERP, HR, and operations -Continuously test assumptions against real-time signals -Self-correct forecasts as conditions change -Explain variances before they become problems -Adapt reporting to stakeholder intent #AgenticAI will force FP&A to operate at the speed of the business with AI-orchestrated decisioning. #AgenticAI #FPnA #Forecasting #ITFinance #CAPEX #DigitalTransformation #DecisionIntelligence

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#Enterprises I speak with every week tell me the same thing: data quality has become the biggest bottleneck to trusted #AI, #analytics, and modernization programs. Legacy pipelines, fragmented tooling, and manual validation simply don’t scale anymore. That’s exactly why we built AI-DQA (AI Data Quality Assessor), LTIMindtree's 7th of Nine #QE offers being rolled out, to help organizations move from reactive data testing to proactive, AI-driven data assurance. By combining AI-generated SQL, automated validation, anomaly detection, and compliance-ready audits, AI-DQA enables teams to - Accelerate data migrations, Reduce testing effort, Improve confidence in business-critical data & Scale QE across complex data ecosystems If #data reliability is on your 2026 priority list, this is a conversation worth having, connect with us on qes@ltimindtree.com. Happy to connect and discuss how AI-driven QE can unlock faster, safer decision-making. #AIPoweredQE #AIDrivenQE #QualityEngineering #AIinTesting #DataQuality #DataAssurance #EnterpriseData #LTIMindtree #Innovation #Productivity #EngineeringExcellence #ProudMoment

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🚀 Informatica Cloud Data Quality (CDQ) Training | FREE Demo Class In today’s cloud-driven enterprises, data quality is no longer optional — it’s critical. Organizations using IDMC, IICS, CDI, and MDM need strong Informatica Cloud Data Quality (CDQ) implementation to ensure accurate, consistent, and trusted data. This Informatica CDQ training is designed to help professionals gain practical, real-world expertise in managing enterprise data quality using Informatica Intelligent Data Management Cloud (IDMC). 🔹 What you will learn: ✔ Informatica IDMC & IICS Architecture ✔ Data Profiling & Data Quality Dimensions ✔ Rule Specifications & Scorecards ✔ Dictionaries, Labeler, Cleanse & Parse Assets ✔ Deduplication & Matching Strategies ✔ CDI & MDM SaaS Integration ✔ Real-time Project Scenarios ✔ Interview & Resume Preparation 👨‍🏫 Trainer: Mr. Sujeet Patel • 14+ years of IT experience • 6 years onsite experience in Singapore • Extensive enterprise Data Quality & IDMC project exposure 🎓 Why InventModel? ✔ FREE Demo Class ✔ Live Instructor-Led Sessions ✔ Hands-on Labs & Use Cases ✔ Certification Guidance ✔ Job-Oriented Curriculum ✔ High Market Demand Skillset 📌 Who should join? Data Engineers | ETL Developers | Data Quality Analysts | MDM Consultants | Freshers & Working Professionals 👉 Explore course details & FREE demo here: https://lnkd.in/gWjnsBid #InformaticaCDQ #CloudDataQuality #InformaticaTraining #IDMC #IICS #DataQuality #DataEngineering #ETL #MDM #CDI #DataGovernance #OnlineITTraining #FreeDemoClass #ITCareers #DataCareers #InventModel

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Snowflake: The New Era of Data Discovery & Observability ​The old way of finding and trusting data—waiting for a BI expert or a data engineer—is officially dead. In 2026, the trend has shifted toward Self-Service Discovery and Automated Observability, with Snowflake leading the charge through its Horizon Catalog and Cortex AI. ​Here is how Snowflake is turning every end user into a data detective: ​1. Data Discovery via Natural Language ​Gone are the days of hunting through messy spreadsheets. With Snowflake Intelligence and Cortex Search, end users can now: ​Ask in Plain English: "Where is the customer churn data for Q4?" ​AI-Powered Descriptions: Cortex automatically generates human-readable descriptions for complex tables, so you actually know what "TABLE_A" contains before you click it. ​Universal Search: A single search bar that finds data, AI models, and even dashboards across your entire organization. ​2. Proactive Data Observability : ​Discovery is useless if the data is broken. Snowflake now provides "Out-of-the-box" observability via Snowflake Trail: ​Data Freshness: Automatic alerts if a dashboard isn't updated on time. ​Anomaly Detection: If a sales metric usually fluctuates by 5% but suddenly drops by 50%, Snowflake’s ML-driven alerts flag it before a human even sees the report. ​Data Lineage: Users can see exactly where their data came from (the "Source of Truth") through visual dependency graphs. ​Why This Matters for End Users ​No Technical Barrier: You don't need SQL; you just need to ask a question. ​Unwavering Trust: When an AI agent gives you an answer, you can see the the lineage to verify it's not a hallucination. ​Faster Action: Reducing "Time-to-Insight" from days to seconds. ​#AIAgents ​#AgenticAI ​#DataObservability ​#DataDiscovery ​#AutonomousAgents #Snowflake #SnowflakeAI

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Unlock Smarter Planning with Oracle EPM Enterprise Cloud This video gives a fast-paced overview of Oracle EPM Enterprise Cloud’s powerful planning capabilities — built to tackle real business challenges in planning, forecasting, and scenario modeling. Here’s what you’ll learn: Application Types Custom Apps – Structured planning, strategic modeling, workflow approvals, and reporting cubes Freeform Apps – Flexible models from Essbase outlines or migrated snapshots Modules-Based Apps – Integrated planning across strategy, finance, workforce, capital, and projects Key Capabilities Flexible input forms Ad-hoc data analysis Scenario modeling & long-range forecasting Integrated financial and operational planning Interactive dashboards & infolets Valid intersections for clean data Groovy rules for advanced logic Predictive planning using time-series analysis Built-in report distribution Specialized Planning ModulesFinancials – Driver-based revenue & expense modeling Projects – Resource alignment with financial targets Capital – Planning for asset lifecycle & IFRS leases Workforce – Headcount, compensation, payroll import Strategic Modeling – Goal-seek and scenario analysis Dashboards 2.0 – Enhanced visual insights & interactivity Smart View – Excel-based EPM data access and reporting Infolets & Groovy Rules – Tailored data interaction and automation Predictive Planning – Auto-forecasting based on historical trends #OracleEPM #EnterprisePlanning #FPandA #PredictiveAnalytics #FinancialPlanning #CloudPlanning #StrategicModeling

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Recently had an insightful discussion with a customer evaluating migration from Oracle Data Integrator (ODI) to a modern data platform, specifically comparing Microsoft Fabric and Snowflake. For background, ODI is not a classic ETL tool. It follows an ELT approach, pushing transformations to the target database using Knowledge Modules. Over the years, many enterprises have built deeply coupled architectures around: * Oracle-specific SQL and optimizations * Complex ODI mappings, packages, and scenarios * Tight dependency on ODI metadata, control tables, and scheduling * Limited support for semi-structured data and modern analytics patterns When organizations talk about “ODI migration,” the real challenge is not choosing a new tool. The real challenge is redesigning how data engineering is done. From the discussion, a few patterns stood out. Microsoft Fabric fits well for organizations already invested in Azure. Its unified experience across ingestion, lakehouse, transformation, and BI makes the transition easier for teams coming from SQL-heavy ODI workloads. Snowflake stands out for cross-cloud flexibility, strong separation of storage and compute, and a mature SQL engine. It works best when paired with a well-defined orchestration and governance strategy. The key takeaway for me: ODI migration should not be a lift-and-shift of mappings. It should be a chance to remove years of architectural debt and move toward modular pipelines, metadata-driven design, CI/CD, observability, and cost control. If you are planning an ODI modernization, pause before selecting Fabric or Snowflake. First ask whether you are rebuilding the same ODI patterns on a new platform or truly modernizing your data architecture. If you’re currently evaluating or already migrating from ODI, I’d love to exchange notes on what worked, what broke, and what you would do differently. Comment or reach out directly.

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Most MDM tools promise “governance.” But when you dig in, you're left with the task of manually stitching rules, templates, and validations. Prosol does it differently. Built for speed, scale, and semantic intelligence, Prosol brings AI-led governance that actually governs natively, not patched on. ✔ Built-in data dictionary (Propedia) ✔ Real-time validation ✔ Out-of-the-box industry templates ✔ Available on SAP Store Choosing your next MDM tool in 2025? Read this first → https://lnkd.in/gtJiB8EV

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