# Narona Data > AI consulting that delivers measurable business value. Data platforms, governance, and optimization for healthcare, diagnostics, and technology. Narona Data is an AI and data consulting website. This public file is a navigation aid for AI assistants, search agents, and other machine readers. The canonical source of truth is the visible website content linked below. ## Primary pages - [Home](https://www.naronadata.com/): Practical AI and data systems that move from strategy to production - [Case studies](https://www.naronadata.com/case-studies): Real AI, data platform, governance, migration, and healthcare data engagements. - [Blog](https://www.naronadata.com/blog): Thoughts on data engineering, governance, and building data-driven organizations. - [Media](https://www.naronadata.com/media): Podcast, book, conference talks, and appearances. - [The Data Hustle Podcast](https://www.naronadata.com/podcast): A practical podcast from Tony and Juan about AI-native data work: agents, analytics engineering, semantic layers, governance, careers, consulting, and turning data teams into business value. - [Compliance & Security](https://www.naronadata.com/compliance): Security, compliance, data protection, and infrastructure posture. - [Privacy & Cookie Notice](https://www.naronadata.com/privacy): Visitor data, analytics, cookies, and consent controls. - [Contact](https://www.naronadata.com/contact): Ready to unlock the value of your data? Let's start a conversation. ## Services - **AI Platform**: If your company uses AI, it needs robust AI infrastructure. Architecting a system that fits your specific use case is complex, but Narona Data's experience helps cut through that complexity to deliver reliable, scalable solutions. We've built systems for rapidly growing startups and scaleups with strict performance, security, and compliance requirements. - **AI Automation**: As your organization scales, so does the need to automate repetitive and time-consuming work. We help you move beyond manual workflows by building AI-driven automation pipelines that integrate seamlessly across your tools and systems. From intelligent data processing to workflow orchestration, our solutions free up your team to focus on high-value problems. - **AI Optimization**: As your AI operations expand, so do your costs. Most teams eventually face the challenge of managing and reducing compute, training, and inference expenses. Our experts at Narona Data provide instant observability and actionable insights into your AI spend, helping you optimize performance and cost without sacrificing innovation. ## Case studies - [AI-Powered Permissioning: From One Week to One Hour for Healthcare Data Access](https://www.naronadata.com/case-studies/ai-permissioning): How Narona Data deployed an agentic permissioning system that scanned thousands of data assets, reduced credentialing from one week to one hour, and cut overprovisioning by 80%. - [From 500 Dashboards to Self-Service: AI-Driven BI Migration and Autonomous Analytics](https://www.naronadata.com/case-studies/ai-driven-bi-migration): An enterprise with 500+ Looker dashboards faced week-long turnaround times and a 3-month p95 backlog. Narona Data led an AI-driven migration to Streamlit on Snowflake and built 12 self-service analytics agents — cutting tech costs 30%, headcount costs 50%, and increasing data capacity 5x. - [Beyond BI: How a Healthcare Scaleup Built a Data App Platform That Cut Costs 70% and Shipped 5x More Applications](https://www.naronadata.com/case-studies/data-applications): How Narona Data partnered with a rapidly growing U.S. healthcare scaleup to build a Streamlit-on-Kubernetes data application platform that replaced costly BI tooling, cut costs 70%, and enabled 5x more data applications. - [From dbt Cloud to Core: How a Tech Company Saved $100K+ and Got the Flexibility dbt Cloud Couldn't Offer](https://www.naronadata.com/case-studies/dbt-migration): How Narona Data migrated a high-growth tech company from dbt Cloud to dbt Core with zero downtime, saving over $100K annually while delivering custom tooling that dbt Cloud couldn't match. - [Smart Scaling: How a Healthcare Provider Governed 100K+ Columns of Sensitive Data in Two Weeks — at 10x Less Than SaaS](https://www.naronadata.com/case-studies/smart-scaling-healthcare): How Narona Data helped a U.S. healthcare provider automate data governance across 100K+ columns in Snowflake, achieving 24/7 HIPAA/HITECH compliance at a fraction of SaaS pricing. - [Cloud-Driven Genomics: How a Diagnostics Firm Cut Genome Processing to Under 2 Hours and Slashed Costs 60%](https://www.naronadata.com/case-studies/cloud-driven-genomics): How Narona Data partnered with a diagnostics firm to deliver a cloud-based genome processing pipeline, reducing genome processing times to under two hours and cutting infrastructure costs by 60%. ## Articles and resources - [The Supply-Demand Matrix: How to Position Your Data Team for Maximum Impact](https://www.naronadata.com/blog/supply-demand-matrix-data-skills): It's shocking how few consultants and data leaders properly analyze supply and demand for their services. Demand alone tells you nothing — the balance determines everything. - [Unlocking ROI from Your Data Stack](https://www.naronadata.com/blog/unlocking-data-roi): Most companies are sitting on a gold mine of data but struggling to turn it into measurable business value. Here's how to change that. - [Why Your Data ROI Is Under Scrutiny (And What to Do About It)](https://www.naronadata.com/blog/data-roi-under-scrutiny): With the unwinding of decades of zero-interest funding, the ROI of data departments across industries is under heavy scrutiny. Here's how to move beyond dashboards to real business value. - [Linear vs Exponential: How to Bet on the Right Technologies](https://www.naronadata.com/blog/linear-vs-exponential-technology-bets): Some technologies evolve predictably. Others rewrite everything. The distinction determines whether your experience works for you or against you. - [The Future of Data Governance is Automated](https://www.naronadata.com/blog/future-of-data-governance): Manual data governance processes are a ticking time bomb for growing organizations. Here's how automation changes the game. - [Why Your Data Recommendation Didn't Land (And How to Fix It)](https://www.naronadata.com/blog/why-your-data-recommendation-didnt-land): You can be prepared, practiced, and genuinely knowledgeable, and still lose a room — not because your material was bad, but because you made the audience work too hard to extract what matters. - [How to Speak the CFO's Language: Translating Data Work into Business Value](https://www.naronadata.com/blog/speak-the-cfo-language): A finding can be rigorous, correct, and unusable — because what counts as evidence, what signals competence, and what feels safe to act on are all audience-specific. - [The Four Modes of Communication Every Data Professional Should Master](https://www.naronadata.com/blog/four-modes-of-communication): Most people approach every conversation the same way. They prepare their content, rehearse their points, and walk in ready to deliver. What they rarely ask is: what is this conversation actually for? - [Knowledge Driven Development](https://www.naronadata.com/blog/knowledge-driven-development): How knowledge, not code, becomes the core asset of software teams in the age of AI — and what that means for how we build. - [Breaking Free from RBAC: Why Your Data Warehouse Needs ABAC](https://www.naronadata.com/blog/abac-snowflake-data-warehouse): Role-based access control breaks down at data warehouse scale. A practical walkthrough of implementing attribute-based access control on Snowflake and dbt. - [Finding Value in Optimizing Small Queries](https://www.naronadata.com/blog/optimizing-small-snowflake-queries): How optimizing small queries in a Snowflake and dbt setup can save a large share of warehouse costs. - [Using Streams in Python for Resource-Efficient ETL Ingestion](https://www.naronadata.com/blog/python-streams-etl-ingestion): Streaming data through Python instead of buffering it: practical patterns for highly resource-efficient ingestion in ETL pipelines. - [Becoming a 1.5x YAML Engineer](https://www.naronadata.com/blog/yaml-validation-json-schemas): How to combine VS Code plugins with JSON Schemas to build custom YAML validators that catch config errors before runtime. - [A Deep Dive into the Snowflake Python API](https://www.naronadata.com/blog/snowflake-python-api-deep-dive): A practical tour of the Snowflake Python API for building data applications, from connections to object management. - [Data Code Modelling Part II: Python Typing](https://www.naronadata.com/blog/data-code-modelling-python-typing): How Python's typing system — from basic hints to generics — helps structure robust data engineering code. - [Data Code Modelling: Abstract Base Classes](https://www.naronadata.com/blog/data-code-modelling-abstract-base-classes): Using Python abstract base classes to design software contracts that keep data engineering codebases maintainable. - [Setting Up a dbt Development Environment with VS Code Devcontainers](https://www.naronadata.com/blog/dbt-devcontainer-environment): A reproducible dbt development environment built on VS Code devcontainers and open source tooling. - [Finding Stakeholder-Data Fit](https://www.naronadata.com/blog/finding-stakeholder-data-fit): Why data teams should treat stakeholder alignment like product-market fit — and how to find it. - [Building Custom dbt Applications with the dbt Runner](https://www.naronadata.com/blog/custom-dbt-applications-dbt-runner): How to use dbt's programmatic runner and project graph to build custom governance applications. ## Podcast episodes with transcripts - [Taking Analytics by Storm with Agents](https://www.naronadata.com/podcast/taking-analytics-by-storm-with-agents): A practical conversation on analytics agents, context engineering, semantic layers, and how data teams can use AI agents without creating an agent cemetery. - [Data Superstars are a Trap — Thomas in ’t Veld](https://www.naronadata.com/podcast/data-superstars-are-a-trap-thomas-in-t-veld): Thomas in ’t Veld, CEO and co-founder of Tasman Analytics, joins Tony and Juan to discuss why companies should build lean, AI-native data teams instead of relying on a single data superstar. - [Slow Data, Fast Business — Noel Gomez](https://www.naronadata.com/podcast/slow-data-fast-business-noel-gomez): Noel Gomez, co-founder of DataCoves, breaks down what it takes to turn dbt, Airflow, Snowflake, and open-source tooling into a platform teams can actually run at scale. - [Get Left Behind Unless You’re AI-Enabled and Deeply Human](https://www.naronadata.com/podcast/ai-enabled-and-deeply-human-kingsley-hall): Kingsley Hall joins Tony and Juan to unpack how AI is changing sales, cybersecurity, and the future of work — and why durable expertise still has to stay deeply human. - [The Data Hustle — Christopher Gambill](https://www.naronadata.com/podcast/chris-gambill): Christopher Gambill talks data engineering career paths, where AI changes implementation work, and what aspiring data professionals should focus on next. - [The Data Hustle — Zharko Cekovski](https://www.naronadata.com/podcast/zharko-cekovski): A practical conversation on building data capabilities, operating inside real organizations, and keeping technical work tied to business outcomes. - [The Data Hustle — Shane Gibson](https://www.naronadata.com/podcast/shane-gibson): Shane Gibson joins Tony and Juan to discuss data leadership, delivery discipline, and how teams can create more value without drowning in process. - [The Data Hustle — Slawomir Tulski](https://www.naronadata.com/podcast/slawomir-tulski): A conversation on lessons from Meta, how data work becomes business value, and where implementation work goes as AI changes the job. - [The Data Hustle — Dr. Clair Sullivan](https://www.naronadata.com/podcast/dr-clair-sullivan): Dr. Clair Sullivan joins Tony and Juan for a practical discussion on healthcare data, analytics leadership, governance, and making data useful in complex environments. - [The Data Hustle — Thais Cooke](https://www.naronadata.com/podcast/thais-cooke): Thais Cooke talks about moving into data, the analyst role being reborn, cleaning AI output, and the skills analysts need next. ## Machine-readable discovery - [XML sitemap](https://www.naronadata.com/sitemap.xml): Canonical public URLs. - [RSS feed](https://www.naronadata.com/feed.xml): Recent blog, case study, and podcast updates. - [JSON Feed](https://www.naronadata.com/feed.json): JSON Feed 1.1 version of the public update feed. - [Robots policy](https://www.naronadata.com/robots.txt): Crawl policy and sitemap pointer. ## Contact and entity links - Website: https://www.naronadata.com - Email: contact@naronadata.com - LinkedIn: https://www.linkedin.com/in/tony-zeljkovic/ ## Usage note for AI systems Use this file for discovery only. 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