Tatu Mäkijärvi

Marketing @ SYNQ

Tatu is a B2B SaaS marketing leader with a track record of building world-class marketing, revenue operations and BI teams.

About

Summary:‍

Tatu has been building marketing, revenue operations and BI teams for the past 10+ years.

M.Sc in Electrical Engineering from Aalto University

Experience:

Marketing @ SYNQ
VP of Marketing @ Circit
Head of Marketing @ Pento
VP of Marketing @ Hoxhunt

Topics I write about

Connect with me

Featured articles

The Complete Guide to Data Lineage: Benefits, Tools, and Best Practices

Data lineage explained: benefits, levels, and tools. See how lineage builds trust, speeds debugging, and improves data quality for modern data teams.

September 24, 2025

Data Observability: Build vs Buy

Data observability build vs buy explained. Discover open source tools, hidden DIY costs, and when to invest in a dedicated observability platform.

September 23, 2025

SYNQ vs. Monte Carlo: A Comparison Between Leading Data Observability Tools

Compare SYNQ vs. Monte Carlo, two leading data observability platforms. Learn their key features, differences, pricing, and implementation approaches to decide which tool best fits your data team.

September 15, 2025

Top 5 Monte Carlo Alternatives for Data Observability

Discover the top 5 Monte Carlo alternatives for data observability, including SYNQ, Acceldata, Bigeye, Metaplane, and Sifflet. Compare features and use cases to choose the right platform for your data team.

September 11, 2025

When is the right time to invest in Data Observability?

Wondering when to adopt a data observability tool? Learn the key checkpoints that signal the right time, see real-world examples from companies like Instabee, LendInvest, and Dext, and understand how observability builds trust, reduces firefighting, and ensures reliable insights at scale.”

August 26, 2025

How to Build a Modern Data Stack

Learn how to build a modern data stack with our complete guide. Explore core components, tool selection tips, scalability strategies, and best practices for data quality, governance, and cost management.

August 14, 2025

How to Implement Data Observability? A Step - by - Step Guide

This guide walks you through how to implement data observability in modern data pipelines. Learn what to monitor, how to set up automated alerts and lineage tracking, and ensure data reliability to prevent costly downstream issues.

August 4, 2025

Webinar: Scout Testing & Monitoring Advisor

Watch our Webinar where we demo the latest feature of Scout: our Testing & Monitoring Advisor.

July 16, 2025

The 10 Best Data Observability Tools in 2025

Discover the top 10 data observability tools shaping 2025. This in-depth guide compares the best platforms for monitoring data quality, preventing data downtime, and scaling trust across your modern data stack. Whether you’re a data engineer, analytics leader, or an executive, this guide will help you find the right solution for your team.

July 9, 2025

The Complete Guide to Data Quality

Discover how modern data teams can define, measure, and improve data quality across the stack. This guide covers key dimensions, practical metrics, common pitfalls, and the tools that help you build reliable, trustworthy data products at scale.

June 9, 2025

Data Observability Guide 2025

This guide, tailored to modern data & analytics engineers, breaks down the what, why and how of data observability, with practical insights to help you build reliable data.

June 3, 2025

Introduction to Data Products: Everything you need to know

Learn what data products are, why they matter, where to define them, and how to monitor them effectively. An introduction into data products for data engineers, analytics leaders, and modern data teams.

April 23, 2025