ISG's 2025 Buyers Guide for Data Platforms: Unlocking Business Value with AI

Thursday – Key decision factors vs. typical organization needs 🗝 The right architecture depends on your context. Here’s what to weigh when choosing: * Organizational Structure: Central IT-managed, efficient for centralized models Domain-aligned teams with contextual understanding * Governance: Unified policies and oversight Federated governance with autonomy and flexibility * Scalability Model: Adding storage scales vertically Domain scaling grows horizontally with autonomy * Data Accessibility: Central control, less self-serve Enables self-serve by domain users * Analytics Use Cases: Best for full-scale analytics and ML Great for domain-specific, real-time, agile use cases These patterns help determine the best path for your org. 👉 Which axis (structure, governance, scale) presents the biggest tension for your org? Pro Tips: * Sketch your domains and data use cases then align the model. * Consider hybrid: lakes for storage, mesh for consumption. * Invest early in self-serve governance tooling. 📖 🔗 https://lnkd.in/gCHvr-rn 🔗 https://lnkd.in/gtxvKZPe 🔗 https://lnkd.in/gMFHTS6k 🔗https://lnkd.in/ghQwZdWu #AI #MachineLearning #DataOps #OrganizationalAlignment #HybridStrategy

Broadcom announces the availability of  VMware Tanzu Data Intelligence. Tanzu Data Intelligence goes beyond big data, data warehousing and data lakes to provide a full stack solution for using all the traditional and new-age data sets for both analytics and to power next generation applications driven by data and AI:  https://lnkd.in/gtpkZMWE

🚀 Automating Data Governance: What’s Next? From AI-driven policy enforcement to real-time, cloud-native governance—data governance is evolving fast. In this latest series, Fred Krimmelbein breaks down emerging trends like self-service platforms, metadata-driven automation, and Gen AI use cases that are reshaping how we manage data. 👉 https://lnkd.in/gVsuiy8d #DataGovernance #Automation #GenAI #DataOps #CloudData #Compliance

Organizations are modernizing data management with IBM watsonx.data, a hybrid and governed lakehouse platform that unifies data across domains. The Data Product Hub serves as a centralized marketplace where users can discover, subscribe to, and receive data products directly into their lakehouses, regardless of where the data originates. This simplifies delivery, accelerates insights, and supports better decision-making. Governed access and analysis are enabled through the watsonx.data console, making data sharing seamless for both providers and consumers. #IBMwatsonx #DataLakehouse #DataProducts #AI #DataManagement #HybridCloud Read more below: https://lnkd.in/gMdVUwpT

🚀 The future of data stewardship with AI agents In the third article of our four-part series, Maria C Villar, Mike Alvarez, Beth Hiatt, and Christine Legner examine how the Digital Data Steward (DDS), powered by AI Agents, augments four critical areas of data governance: ✅ Data Quality ✅ Metadata Management ✅ Master Data ✅ Data Retention From anomaly detection to metadata orchestration and retention compliance, discover how AI agents are shifting from simple automation to cross-agent orchestration that predicts, alerts, corrects — and empowers human stewards to focus on higher-value work. 👉 Read the full article here: https://hubs.ly/Q03G8J1p0

Drowning in a sea of data? You’re not alone. Businesses today face mounting challenges in managing, securing, and making sense of their ever-growing data across multi-cloud environments. Enter 𝗗𝗮𝘁𝗮 𝗙𝗮𝗯𝗿𝗶𝗰, the AI-powered architecture that unifies, secures, and simplifies data management across clouds. 𝗞𝗲𝘆 𝗛𝗶𝗴𝗵𝗹𝗶𝗴𝗵𝘁𝘀: • Unified & seamless data access across silos • High scalability & agility for evolving business needs • Advanced governance & compliance (GDPR, HIPAA, CCPA) • AI-powered automation for efficiency • Enhanced productivity through smarter data use Explore how integrating Data Fabric into multi-cloud strategies helps overcome setbacks like security risks, silos, and complexity, while boosting operational excellence. 𝗥𝗲𝗮𝗱 𝘁𝗵𝗲 𝗳𝘂𝗹𝗹 𝗯𝗹𝗼𝗴 𝗻𝗼𝘄: https://lnkd.in/dbb_gPK7 #DataFabric #MultiCloud #CloudComputing #DataManagement #AI #Automation #KnowledgeNile

Turning Chaos into Clarity in Master Data Management 1. Different systems keep different versions of same data → build one master source with clear ownership → result → single truth fewer mismatches. 2. Poor or missing data slows daily work → set up automatic checks plus dedupe plus enrichment → result → clean trusted records less manual work. 3. Onboarding new product supplier or customer takes long time → add workflows plus master-data APIs → result → faster start less error. 4. Reports come late due to batch → shift to real-time capture plus streaming → result → live updates faster action. 5. Regions use different names rules formats → create global taxonomy plus standard dictionary → result → uniform reporting smoother scaling. 6. Business teams make shadow files → share governed catalog plus controlled self-service → result → empowered team no chaos. 7. Old infra and duplicate storage add cost → move to cloud storage plus tiering → result → lower spend higher return. 8. Compliance and privacy checks keep rising → add strict access control encryption lineage audit → result → ready for audit more trust. 9. Dashboards complex adoption low → build simple BI self-service plus train users → result → more use faster decision. 10. Mergers ERP versions slow integration → use API-first plus reusable connectors → result → faster join lower cost. 11. AI fails due to messy masters → standardize metadata plus ML pipelines plus lineage → result → reliable model trusted output. 12. Data growth from IoT GenAI telemetry huge → build intelligent data fabric plus adaptive governance → result → handle growth no breakdown. Fixing these now decides how future-ready your organisation will be.

Nirvana data tech is a leading data solution provider focusing on creating innovative solutions to address the most complex digital transformation requirements. We have leveraged our holistic portfolio of capabilities in consulting with emerging technologies to assist our clients by building future-ready and sustainable businesses. We are a data-focused organization. Our services simplify complex data operations like data structuring, data ingestion, unifying, validating, and transforming with the loading of data into targeted platforms. We empower insights into reporting, analytics, and advanced analytics with machine learning capabilities. We pilot innovation through diversity, growth, and giving back culture. We seamlessly integrate with our business partners to enable greater flexibility and speedy results. Nirvana data tech can support your business with industry-specific capabilities and insights to make sure your business should stay on the cutting edge. We can help you to make sense of data and drive your business a step forward. We flourished to choose us as your digital partner to collaborate on the character of your business. At Nirvana data tech, we have assembled dedicated teams to help fast-growing startups and innovative entrepreneurs to drive impact and win their goals. Our experts deliver on the promise to help our customers flourish in an ever-changing world. Our experts have designed and developed tailoring solutions to make better business decisions and drive more intelligence into digital operations. Our entire focus integrates strategies with impact for an improved value chain. Our transformation expertise in data science and change management can help your business perform more efficiently and effectively in terms of improving customer relationships with enhanced revenue growth. Nirvana data tech adapts proven business techniques to achieve the business outcomes you are looking for with a deep understanding of your business and all facets of data analysis. Our tailoring solutions make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations.

"The Race to Build the Ultimate Data Platform" Blog Just published a blog titled "The Race to Build the Ultimate Data Platform" - exploring how AI demands and efficiency goals are driving the shift from fragmented tools to unified data platforms. Organizations investing in comprehensive platforms gain operational resilience, better governance, and accelerated AI adoption. Read how Amazon Web Services (AWS), Microsoft, Google, Databricks, Cloudera, Qlik, Oracle, and others are competing to build the most comprehensive platforms to support the needs to data driven companies leveraging their enterprise data and AI. Take a look! #DataPlatforms #AI #DataManagement #DigitalTransformation #DataStrategy Enterprise Strategy Group (part of Omdia) https://lnkd.in/eQn4PcWx

𝐓𝐡𝐞 𝟐𝟎𝟐𝟓 𝐆𝐮𝐢𝐝𝐞 𝐭𝐨 𝐃𝐚𝐭𝐚 𝐂𝐚𝐭𝐚𝐥𝐨𝐠 & 𝐌𝐞𝐭𝐚𝐝𝐚𝐭𝐚 𝐌𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭 Most enterprises struggle because data is everywhere, but context is missing. That’s why data catalog and metadata management need to work together. 𝐇𝐞𝐫𝐞’𝐬 𝐰𝐡𝐚𝐭 𝐭𝐡𝐞 𝐠𝐮𝐢𝐝𝐞 𝐜𝐨𝐯𝐞𝐫𝐬: Core capabilities you should expect: automated harvesting, business glossary integration, column/job/dashboard-level lineage, and sensitive data classification. KPIs to measure success: time-to-insight, incident resolution speed, data adoption, and % of decisions made using certified assets. AI/LLM readiness – why metadata (definitions, lineage, freshness, sensitivity) is the foundation for trusted AI outcomes. 𝟗𝟎-𝐝𝐚𝐲 𝐢𝐦𝐩𝐥𝐞𝐦𝐞𝐧𝐭𝐚𝐭𝐢𝐨𝐧 𝐛𝐥𝐮𝐞𝐩𝐫𝐢𝐧𝐭 𝐭𝐨 𝐫𝐨𝐥𝐥 𝐭𝐡𝐢𝐬 𝐨𝐮𝐭 𝐞𝐟𝐟𝐞𝐜𝐭𝐢𝐯𝐞𝐥𝐲. 📌 Read the full guide here: https://lnkd.in/gtVtj3EK At Decube, we unify catalog + metadata management with data lineage and quality in a single platform—so you don’t just manage data, you build data trust.