SaaS Data Analytics

The First Data Expert in a Startup

The first data expert in a startup is more than just a technical hire; they are a strategic partner who bridges the gap between raw data and business outcomes. By setting up a centralized data warehouse, building scalable data models, and delivering actionable insights, they enable startups to operate more efficiently and make smarter decisions.
István Mészáros
Dec 11, 2024
•
5 min read
All
SaaS Data Analytics
Using Mitzu
Data Modeling
Data Engineering
SaaS Data Analytics

How to measure MRR from your data?

Using warehouse-native revenue analytics tools like Mitzu simplifies MRR management. These tools connect directly to your data warehouse, providing real-time insights without the hassle of data duplication. This allows for quick segmentation and reporting, helping your team make smarter decisions that drive growth.
Ambrus Pethes
Dec 11, 2024
•
8
min read
Using Mitzu

Case study: how CLICKnCRUISE uses Mitzu for revenue attribution and customer retention

Discover how CLICKnCRUISE leverages Mitzu.io’s cost-effective product analytics to boost customer retention, optimize revenue attribution, and drive business growth.
Ambrus Pethes
Dec 11, 2024
•
7
min read
Using Mitzu

Product analytics with RudderStack and Mitzu

You can set up RudderStack with Mitzu.io and BigQuery in under 10 minutes and gain deep insights into event tracking and revenue linkage.
István Mészáros
Dec 11, 2024
•
8
min read
Using Mitzu

Modeling A/B Tests in the Data Warehouse

Learn how to track experiment allocation data using arrays or nested JSON in Databricks and access it through Mitzu.io for efficient A/B test analysis.
István Mészáros
Dec 11, 2024
•
5
min read
SaaS Data Analytics

Unlocking insights, securing data: the power of warehouse-native analytics for EdTech

Explore the power of edtech analytics and learn how warehouse-native product analytics enhances your ability to track features and revenue growth.
Ambrus Pethes
Dec 11, 2024
•
4
min read
Using Mitzu

Empowering travel businesses with unlimited analytics: the warehouse-native approach

Explore how travel businesses can leverage the unlimited power of warehouse-native product analytics to optimize product performance.
Ambrus Pethes
Dec 11, 2024
•
5
min read
Data Modeling

Product analytics with Star schema and Mitzu

Mitzu.io can help you unlock the power of using star schemas for product analytics. It can also simplify your data structure and enhance your reporting capabilities.
István Mészáros
Dec 11, 2024
•
8
min read
Data Modeling

Star schema: best model for SaaS product analytics explained

Understand how the Star schema helps SaaS companies structure data for clearer, faster analytics. Discover its benefits in performance and data quality.
István Mészáros
Dec 11, 2024
•
5
min read
Using Mitzu

Product Analytics with BigQuery and Mitzu

Learn how to coalesce BigQuery with Mitzu.io for advanced product analytics. Integrate in just 5 minutes to link user behavior with revenue impact.
István Mészáros
Dec 11, 2024
•
8
min read
SaaS Data Analytics

Using GA4 with BigQuery for Product Analytics

Leverage GA4 and BigQuery with Mitzu.io to gain deeper insights into user behavior and revenue impact with a streamlined, warehouse-native solution.
István Mészáros
Dec 11, 2024
•
8
min read
Data Engineering

Funnels with SQL: The good, the bad and the ugly way

Understand how to build an efficient data funnel with SQL over event datasets. Learn why 'ugly' funnel queries can yield optimal results in data warehouses.
István Mészáros
Dec 11, 2024
•
8
min read
Using Mitzu

Product Analytics with Clickhouse and Mitzu

Discover how integrating Mitzu.io with ClickHouse provides powerful product analytics for scalable insights and self-service data access without needing SQL.
István Mészáros
Dec 11, 2024
•
7
min read
Using Mitzu

Using Mitzu With Trino For Product Analytics

Explore how to use Mitzu.io with Trino and PrestoSQL for fast, scalable product analytics and empower your team with easy, SQL-free data access.
István Mészáros
Dec 11, 2024
•
10
min read
Data Modeling

Exploring the Warehouse-First Architecture: Building a single source of truth

Explore how warehouse-first architecture centralizes data management, creating a single source of truth that improves accuracy, scalability, and flexibility.
Daniel Nőthig
Dec 11, 2024
•
5
min read
Data Modeling

Modeling Events In The Data Warehouse

Discover how to effectively model events in your data warehouse with three approaches: single table, wide table, and narrow table, and choose the best model.
István Mészáros
Dec 11, 2024
•
10
min read
SaaS Data Analytics

Warehouse Native vs. First-Generation Product Analytics

Compare warehouse-native analytics with first-generation tools and discover why Mitzu.io's approach offers faster, more comprehensive insights.
Daniel Nőthig
Dec 11, 2024
•
8
min read
SaaS Data Analytics

The Difference Between BI and Product Analytics

Learn the key differences between BI products and product analytics tools. Learn why combining BI insights with product analytics is crucial for success.
Daniel Nőthig
Dec 11, 2024
•
6
min read
Data Engineering

User ID Stitching in Databricks

Learn how to perform ID stitching in Databricks to unify fragmented user data, including Databricks account ID, and create a cohesive view of customer behavior.
István Mészáros
Dec 11, 2024
•
8
min read
Data Engineering

Identifying Users In The Data Warehouse

Discover how to use the connected components algorithm to unify user aliases in a single table, enabling seamless tracking and analysis across all datasets.
István Mészáros
Dec 13, 2024
•
7
min read
Data Modeling

Data Platform For Startups: An Overview

A hands-on guide for startups to select the right infrastructure when building a data platform to streamline analytics, and build a solid foundation for growth.
István Mészáros
Dec 11, 2024
•
10
min read
Using Mitzu

Transforming Product Analytics With Databricks And Mitzu

Discover how Databricks products and Mitzu.io work together for real-time insights and accurate revenue attribution.
István Mészáros
Dec 11, 2024
•
8
min read
Data Engineering

I Asked 3 Data Analysts The Same Question. The Answers Made Me Start My Startup

Discover how Mitzu overcomes the limitations of SQL-based product analytics in data warehouses, providing insights without relying solely on data analysts.
István Mészáros
Dec 11, 2024
•
5
min read
SaaS Data Analytics

How to measure MRR from your data?

Using warehouse-native revenue analytics tools like Mitzu simplifies MRR management. These tools connect directly to your data warehouse, providing real-time insights without the hassle of data duplication. This allows for quick segmentation and reporting, helping your team make smarter decisions that drive growth.
Ambrus Pethes
Dec 11, 2024
•
8
min read
SaaS Data Analytics

Unlocking insights, securing data: the power of warehouse-native analytics for EdTech

Explore the power of edtech analytics and learn how warehouse-native product analytics enhances your ability to track features and revenue growth.
Ambrus Pethes
Dec 11, 2024
•
4
min read
SaaS Data Analytics

Using GA4 with BigQuery for Product Analytics

Leverage GA4 and BigQuery with Mitzu.io to gain deeper insights into user behavior and revenue impact with a streamlined, warehouse-native solution.
István Mészáros
Dec 11, 2024
•
8
min read
SaaS Data Analytics

Warehouse Native vs. First-Generation Product Analytics

Compare warehouse-native analytics with first-generation tools and discover why Mitzu.io's approach offers faster, more comprehensive insights.
Daniel Nőthig
Dec 11, 2024
•
8
min read
SaaS Data Analytics

The Difference Between BI and Product Analytics

Learn the key differences between BI products and product analytics tools. Learn why combining BI insights with product analytics is crucial for success.
Daniel Nőthig
Dec 11, 2024
•
6
min read
Using Mitzu

Case study: how CLICKnCRUISE uses Mitzu for revenue attribution and customer retention

Discover how CLICKnCRUISE leverages Mitzu.io’s cost-effective product analytics to boost customer retention, optimize revenue attribution, and drive business growth.
Ambrus Pethes
Dec 11, 2024
•
7
min read
Using Mitzu

Product analytics with RudderStack and Mitzu

You can set up RudderStack with Mitzu.io and BigQuery in under 10 minutes and gain deep insights into event tracking and revenue linkage.
István Mészáros
Dec 11, 2024
•
8
min read
Using Mitzu

Modeling A/B Tests in the Data Warehouse

Learn how to track experiment allocation data using arrays or nested JSON in Databricks and access it through Mitzu.io for efficient A/B test analysis.
István Mészáros
Dec 11, 2024
•
5
min read
Using Mitzu

Empowering travel businesses with unlimited analytics: the warehouse-native approach

Explore how travel businesses can leverage the unlimited power of warehouse-native product analytics to optimize product performance.
Ambrus Pethes
Dec 11, 2024
•
5
min read
Using Mitzu

Product Analytics with BigQuery and Mitzu

Learn how to coalesce BigQuery with Mitzu.io for advanced product analytics. Integrate in just 5 minutes to link user behavior with revenue impact.
István Mészáros
Dec 11, 2024
•
8
min read
Using Mitzu

Product Analytics with Clickhouse and Mitzu

Discover how integrating Mitzu.io with ClickHouse provides powerful product analytics for scalable insights and self-service data access without needing SQL.
István Mészáros
Dec 11, 2024
•
7
min read
Using Mitzu

Using Mitzu With Trino For Product Analytics

Explore how to use Mitzu.io with Trino and PrestoSQL for fast, scalable product analytics and empower your team with easy, SQL-free data access.
István Mészáros
Dec 11, 2024
•
10
min read
Using Mitzu

Transforming Product Analytics With Databricks And Mitzu

Discover how Databricks products and Mitzu.io work together for real-time insights and accurate revenue attribution.
István Mészáros
Dec 11, 2024
•
8
min read
Data Modeling

Product analytics with Star schema and Mitzu

Mitzu.io can help you unlock the power of using star schemas for product analytics. It can also simplify your data structure and enhance your reporting capabilities.
István Mészáros
Dec 11, 2024
•
8
min read
Data Modeling

Star schema: best model for SaaS product analytics explained

Understand how the Star schema helps SaaS companies structure data for clearer, faster analytics. Discover its benefits in performance and data quality.
István Mészáros
Dec 11, 2024
•
5
min read
Data Modeling

Exploring the Warehouse-First Architecture: Building a single source of truth

Explore how warehouse-first architecture centralizes data management, creating a single source of truth that improves accuracy, scalability, and flexibility.
Daniel Nőthig
Dec 11, 2024
•
5
min read
Data Modeling

Modeling Events In The Data Warehouse

Discover how to effectively model events in your data warehouse with three approaches: single table, wide table, and narrow table, and choose the best model.
István Mészáros
Dec 11, 2024
•
10
min read
Data Modeling

Data Platform For Startups: An Overview

A hands-on guide for startups to select the right infrastructure when building a data platform to streamline analytics, and build a solid foundation for growth.
István Mészáros
Dec 11, 2024
•
10
min read
Data Engineering

I Asked 3 Data Analysts The Same Question. The Answers Made Me Start My Startup

Discover how Mitzu overcomes the limitations of SQL-based product analytics in data warehouses, providing insights without relying solely on data analysts.
István Mészáros
Dec 11, 2024
•
5
min read
Data Engineering

Identifying Users In The Data Warehouse

Discover how to use the connected components algorithm to unify user aliases in a single table, enabling seamless tracking and analysis across all datasets.
István Mészáros
Dec 13, 2024
•
7
min read
Data Engineering

User ID Stitching in Databricks

Learn how to perform ID stitching in Databricks to unify fragmented user data, including Databricks account ID, and create a cohesive view of customer behavior.
István Mészáros
Dec 11, 2024
•
8
min read
Data Engineering

Funnels with SQL: The good, the bad and the ugly way

Understand how to build an efficient data funnel with SQL over event datasets. Learn why 'ugly' funnel queries can yield optimal results in data warehouses.
István Mészáros
Dec 11, 2024
•
8
min read

How to get started?

Collect data
‍

Ingest your first and third party data to your data warehouse. If you don't yet have a data warehouse we can help you get started.

Learn more

Setup Mitzu
‍

Connect Mitzu to your data warehouse just as any other BI tool. List your facts and dimensions tables.
Create an events and properties catalog.

Learn more

Start making better decisions faster

Start learning valuable insights with a few clicks only. No need to know SQL. Collaborate with your team on key business questions.

Learn more

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