Ambrus Pethes

Writer

Ambrus Pethes

Growth

Growth at Mitzu. Expert in data engineering and product analytics.

Articles

Posts on this site.

January 15, 2026 · 5 min read

Overcoming Data Quality Challenges (2026 Guide)

Discover strategies and tools to solve data quality issues and ensure reliable, actionable data for better business decisions.

March 26, 2026 · 16 min read

AI insights from data warehouse: playbook for trusted decision intelligence

AI insights from data warehouse systems are most reliable when semantic governance and verified SQL convert raw data into trusted KPI decisions.

February 11, 2026 · 5 min read

How did Mitzu help Colossyan scale beyond 100 people without growing the data team?

See how Colossyan improved data accuracy, cut costs, and sped up decision-making with Mitzu's self-served product analytics.

March 26, 2026 · 16 min read

Product analytics tool with AI agent: capabilities buyers should demand

Product analytics tool with AI agent evaluation should prioritize governance, transparency, and semantic control before feature breadth or demo fluency.

March 20, 2026 · 11 min read

ChatGPT vs AI Analytics Agent: Which One Gives Reliable Business Answers?

Compare ChatGPT vs purpose-built AI analytics agents across data access, SQL reliability, governance, and team workflows before you choose your stack.

June 10, 2025 · 5 min read

How to Run Privacy-First Product Analytics Securely

Discover how to run privacy-first product analytics in 2026 while staying compliant with global data laws and generating actionable insights.

March 26, 2026 · 15 min read

AI analytics for BigQuery: no-SQL access that still protects data trust

AI analytics for BigQuery enables no-SQL self-serve access when semantic governance, SQL transparency, and query-cost guardrails are enforced from day one.

March 26, 2026 · 16 min read

Product analytics without coding: practical playbook for PM and growth teams

Product analytics without coding works when teams pair no-SQL usability with metric ownership, verified SQL, and phased governance-aware rollout practices.

March 20, 2026 · 14 min read

What Is Agentic Analytics? 2026 Guide to AI Analysts and Trusted SQL

Learn what agentic analytics means in practice, how AI analytics agents work, and why transparent SQL plus semantic context beats dashboard-only workflows.

January 30, 2026 · 5 min read

How Mitzu helped Prezi to reach 100% data accuracy?

Mitzu helped Prezi to improve data accuracy, speed, and self-service while cutting costs significantly. It helped non-technical teams, reduced support tickets, and sped up product iteration.

October 24, 2025 · 5 min read

Measure Cohort Retention Without Complex SQL Queries

Discover SQL-free cohort retention analytics with Mitzu, enabling businesses to track retention and make data-driven growth decisions easily.

November 13, 2025 · 5 min read

4 Data Infrastructure Models for Scalable Analytics

Learn how Cloud, Private, or BYOC deployments impact data operations and scale modern analytics with Mitzu.

July 23, 2025 · 5 min read

Designing Analytics Stack with Real-Time Data Streaming and Event-Driven Architecture

Real-time streaming and event-driven architectures enable instant data processing and analytics, keeping insights fresh and systems responsive at any scale.

June 11, 2025 · 8 min read

Designing a Composable Product Analytics Stack with Snowplow and Mitzu

Build a flexible, AI-ready product analytics stack with Snowplow and Mitzu for precise event tracking, schema control, and powerful SQL-based insights.

March 26, 2026 · 15 min read

Can you replace data analyst with AI? A pragmatic operating model for 2026

Replace data analyst with AI is the wrong framing; top teams automate repetitive tasks while analysts own governance, interpretation, and strategic decisions.

April 23, 2026 · 11 min read

SQL-Free Self-Service Analytics Guide for Teams

A step-by-step guide for data and analytics leaders to evaluate, select, and roll out a no-code analytics platform that enables SQL-free data exploration for non-technical product and marketing teams.

November 1, 2025 · 5 min read

Track and Analyze MRR Without Data Duplication

Learn how to measure and visualize cohort retention with Mitzu, a trusted agentic analytics tool that avoids complex SQL and data duplication.

May 13, 2025 · 5 min read

How 52 Entertainment Data Team Saved 60+ Hours Monthly

52 Entertainment data team saved 60+ hours/month and doubled data integration speed by empowering product teams with Mitzu's self-serve analytics platform.

March 20, 2026 · 12 min read

What is an AI data analyst? How AI analytics agents replace the ticket queue

What an AI data analyst does, how agentic analytics works, and why data teams use it to remove ad-hoc ticket backlogs with trustworthy SQL.

December 18, 2023 · 5 min read

The Difference Between analytics and Product Analytics

Product Analytics is crucial for product managers, marketing professionals, and business leaders. analytics products are for historical, aggregated data for comprehensive business analysis.

January 4, 2025 · 5 min read

Warehouse Native vs. First-Generation Product Analytics

Warehouse Native vs First Generation Product Analytics comparison with features, pricing, data architecture, and which analytics stack each option fits best.

June 20, 2025 · 5 min read

Warehouse-Native Analytics: Transforming Travel Data Insights

Explore how travel businesses can leverage the unlimited power of trusted agentic product analytics to optimize product performance.

March 26, 2026 · 15 min read

AI analytics verified SQL: how reviewable queries build decision trust

AI analytics verified SQL builds trust by making generated queries reviewable, auditable, and aligned with governance before answers are operationalized.

May 13, 2025 · 5 min read

Delta Lake vs Apache Iceberg: Which Table Format Wins?

Delta Lake vs Apache Iceberg Which Table Format Wins comparison with features, pricing, data architecture, and which analytics stack each option fits best.

September 1, 2025 · 5 min read

Data Mesh vs Data Fabric: Scalable Enterprise Data

Data Mesh vs Data Fabric comparison with features, pricing, data architecture, and which analytics stack each option fits best.

March 26, 2026 · 16 min read

Ask questions about data without SQL: governance model that scales trust

Ask questions about data without SQL safely by combining conversational access with approval rails, auditability, and clear semantic ownership standards.

April 14, 2026 · 11 min read

Agentic Analytics Semantic Layer: Prevent AI SQL Errors in Key Metrics

Learn how to reduce AI-generated SQL mistakes in funnel, retention, and cohort analysis with an agentic semantic layer on your warehouse.

March 20, 2026 · 11 min read

The analytics ticket queue is broken - how AI agents are giving data teams their time back

Analytics backlog keeps data teams stuck in tickets. Learn why the queue model fails and how AI agents reduce ad-hoc load without losing governance.

May 8, 2026 · 10 min read

How AI Agents Query Your Data Warehouse: From Natural Language to Product Insights

AI agents can query your data warehouse in plain English, but only reliably when a semantic layer connects human language to your actual schema. This guide explains the architecture, the failure points, and what it takes to make AI-driven product analytics trustworthy in production.

September 13, 2025 · 5 min read

Cruise Booking Platform Uses Mitzu for Revenue Attribution

Learn how CLICKnCRUISE uses Mitzu for affordable product analytics to improve customer retention, optimize revenue attribution, and drive business growth.

March 26, 2026 · 16 min read

Natural language to SQL analytics checklist: buyer framework for trusted rollout

Natural language to SQL analytics succeeds when buyers score transparency, semantic mapping, access control, and auditability before prioritizing chat UX.

February 14, 2025 · 5 min read

Exploring the Warehouse-First Architecture

Explore how warehouse-first architecture centralizes data management, creating a single source of truth that improves accuracy, scalability, and flexibility.

June 18, 2025 · 5 min read

The Playbook for Building a High-Impact Data Team

Learn how to build a high-impact data team that delivers results with self-service tools, trusted agentic analytics, and clear priorities.

July 4, 2025 · 5 min read

EdTech Data Challenges and How Warehouse-Native Analytics Helps

Explore the power of edtech analytics and learn how trusted agentic product analytics enhances your ability to track features and revenue growth.

March 20, 2026 · 12 min read

AI hallucinations in analytics: why SQL transparency is the only way to trust your AI analyst

AI analytics hallucinations can corrupt decisions. SQL transparency and analyst approval are the practical controls for trustworthy, governed AI analytics.

March 26, 2026 · 16 min read

AI analytics for Snowflake in 2026: practical buyer guide for trusted self-serve

AI analytics for Snowflake helps teams get faster answers with verified SQL, governance, and semantic-layer grounded trust built into every decision workflow.

March 26, 2026 · 16 min read

Self serve analytics AI for SaaS: rollout blueprint to cut queues and keep trust

Self serve analytics AI for SaaS cuts ticket queues when teams combine phased rollout, semantic governance, and verified SQL across product and growth workflows.

February 28, 2026 · 5 min read

How Shapr3D move from multiple analytics tools to one platform?

Mitzu helped Shapr3D centralize data and enable self-serve analytics, helping teams to make faster, more informed decisions.

April 10, 2026 · 10 min read

Semantic Layer + Agentic Analytics: Fix Funnel and Retention Accuracy

See why semantic definitions alone are not enough for AI analytics and how methodology-driven agentic workflows improve funnel and retention decisions.

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