『The Data Business Podcast with Fexingo: Analytics, Data Infrastructure, and Information Products』のカバーアート

The Data Business Podcast with Fexingo: Analytics, Data Infrastructure, and Information Products

The Data Business Podcast with Fexingo: Analytics, Data Infrastructure, and Information Products

著者： Fexingo
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Data is the raw material of modern business, but most companies drown in it. The Data Business Podcast with Fexingo examines how organizations turn data into durable products and infrastructure — from analytics stacks and data pipelines to information platforms that generate recurring revenue. Lucas and Luna dissect real cases: how Snowflake built a cloud-data monopoly, why dbt became the standard for transformation, and how startups like Fivetran and Airbyte compete in the extraction market. They explore the economics of data-marketplaces, the governance trade-offs of lakehouse architectures, and the metrics that separate high-performing data teams from compliant ones. Each episode grounds a specific tension — open-source vs. proprietary, speed vs. accuracy, self-service vs. centralization — in the numbers and decisions that matter. Designed for data engineers, analytics leaders, and product managers building data-intensive businesses, the show avoids hype and focuses on the durable principles that survive tool churn. Lucas brings a journalist's precision to the business models behind the stack; Luna challenges with practitioner questions about real-world friction. By the end, you'll understand not just what tools are trending, but why the economics of data are shifting — and what that means for your next build-or-buy decision. #DataBusiness #Analytics #DataInfrastructure #DataEngineering #InformationProducts #Snowflake #Dbt #Fivetran #Airbyte #Lakehouse #DataGovernance #DataMarketplace #OpenSourceData #DataMonetization #Business #FexingoBusiness #BusinessPodcast #Technology Keep every episode free: buymeacoffee.com/fexingo© 2026 Fexingo. All rights reserved. 経済学
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  • Why Data Teams Are Stopping Dashboard Builds

    Why Data Teams Are Stopping Dashboard Builds
    2026/09/10
    Data teams are hitting a hard ceiling with traditional dashboards. In this episode, we look at how organizations like Netflix and Spotify shifted from static reporting to proactive insight delivery. Lucas and Luna discuss the operational costs of maintaining thousands of unused charts, the hidden tax on data engineers, and the specific metric—insight consumption rate—that new leaders are using to justify stopping dashboard construction. We also explore the rise of 'insight-as-a-service' models where value is measured by action taken, not pixels viewed. #DataStrategy #BusinessIntelligence #LucasAndLuna #FexingoBusiness #DataOps #InsightDelivery #DashboardFatigue #NetflixCaseStudy #SpotifyAnalytics #DataMonetization #ProductLedGrowth #DataEngineering #ROIofData #ProactiveAnalytics #DataCulture #DecisionScience #OperationalEfficiency #BusinessPodcast Keep every episode free: buymeacoffee.com/fexingo
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    13 分
  • How Data Teams Audit AI Hallucinations

    How Data Teams Audit AI Hallucinations
    2026/09/09
    This episode examines the emerging practice of automated hallucination auditing for enterprise LLM applications. We look at how data teams are moving beyond simple accuracy checks to implement rigorous evaluation pipelines that measure semantic drift and factual grounding in real-time. Using a specific case study of a major fintech provider, we explore the metrics that matter when deploying generative models in regulated environments. The discussion covers practical tools for tracing output sources, the cost implications of high-fidelity verification layers, and why standard benchmarking is no longer sufficient for production-grade AI systems. #AIAudit #DataEngineering #LLMOps #HallucinationDetection #GenerativeAI #FexingoBusiness #BusinessPodcast #TechStrategy #DataGovernance #EnterpriseAI #ModelEvaluation #RiskManagement #DataQuality #MachineLearning #FinTech #OperationalExcellence #AIInfrastructure #LucasAndLuna Keep every episode free: buymeacoffee.com/fexingo
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    9 分
  • Why Data Teams Stop Building Dashboards

    Why Data Teams Stop Building Dashboards
    2026/09/08
    Most data teams are still measuring success by the number of dashboards they build, but that metric is broken. We look at how leading organizations are shifting from output-based metrics to outcome-based accountability. Using a specific case study of a mid-sized fintech firm that reduced dashboard count by forty percent while increasing decision speed, we explore the mechanics of this shift. Lucas and Luna discuss why visibility is no longer the bottleneck and what happens when you tie data team compensation directly to business outcomes rather than infrastructure uptime. #DataStrategy #BusinessIntelligence #OutcomeBasedMetrics #DataOps #DashboardCulture #FexingoBusiness #BusinessPodcast #DataLeadership #KPIs #DataTeam #DecisionScience #AnalyticsEngineering #ValueRealization #DataGovernance #ProductLedGrowth #Fintech #OperationalEfficiency #StrategicAlignment Keep every episode free: buymeacoffee.com/fexingo
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    14 分
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