Data Culture

How to Build a Culture of Data Trust: A Conversation with Hilary Mason

We sat down with Hilary Mason, former GM of Machine Learning at Cloudera and co-founder of HackNY, to learn more…

Snowflake Summit 2022: For Customers, Less Than 25 Percent of Data Actually Lives on the Cloud

We surveyed over 200 data leaders at Snowflake Summit about how they're leveraging data in the cloud. Here's what we…

Data Stewards Have The Worst Seat At The Table

Data stewards have an impossible job. Here’s why and what we can do to empower them.

Vanquish Toil: 9 Data Engineering Processes Ripe For Automation

Data engineers must automate to survive. Especially these 9 data engineering processes.

Monte Carlo Announces Release of Observability Platform for Locally Sourced, Small-Batch Data

If you are part of the new wave of data engineers who are nostalgic for data platforms the way they…

What is a Data Reliability Engineer – And Do You Need One?

Data Reliability engineering is the practice of ensuring high-quality data across an organization.

What Good Data Product Managers Do – And Why You Probably Need One

A data product manager is responsible for data democratization and increasing the time to value for the data itself.

Treat Your Data Like An Engineering Problem: An Interview with Snowflake Director of Product Management Chris Child

Snowflake Director of Product Management Chris Child talks about the role of data observability solutions in the modern data stack…

Building a Data Platform: 7 Signs It’s Time to Invest in Data Quality

It's hard to get your data platform off the ground if you can't trust it. Here are 7 signs it's…

One SLA at a Time: Our Data Quality Journey at Red Digital

Our data quality journey was a step-by-step process made possible by open communication.

The New Face of a Data Governance Model

Data governance models are dead. Here’s how we can resurrect it.

eBook: The Modern Data Leader’s Playbook

Learn how top data leaders scale their teams, tech, and processes to meet the needs of the modern business.

The Non-Engineer’s Guide to Bad Data

According to a recent study by HFS, 75 percent of executives don’t trust their data. Here’s why and what data-reliant…

7 Questions to Ask When Building Your Data Team

When it comes to ensuring your data team is happy and productive, answering these seven questions will make all the…

IMPACT: The Data Observability Summit Videos Are Now Available On Demand

Missed IMPACT? Have no fear! Full recordings of our keynotes, panels, and fireside chats with Bob Muglia, DJ Patil, Zhamak…

How to Choose the Right Structure for Your Data Team

Best practices for building a data team at a hypergrowth startup, from hiring your first data engineer to IPO.

Data Mesh – Fad or Fab?

Love it or hate it – it’s here. So, we turned to one of the experts to ask him some…

The Future of Data Engineering as a Data Engineer

Is the data engineer still the "worst seat at the table?" Maxime Beauchemin, creator of Apache Airflow, weighs in on…

4 Reasons Why I Joined Monte Carlo’s Data Science Team

Considering joining a data startup? Learn how and why Ryan Kearns turned his Monte Carlo internship into a job.

Data Mesh 101: How to Get Started

What is a data mesh? Do you even need one? Download this free guide to learn how some of the…

A Tale of Baseball and Bad Data: Why I Joined Monte Carlo

I guess data runs in the family. Growing up as a kid in the ‘90s, I distinctly remember my father…

5 Non-Obvious Ways to Make Data Engineers Love Working For You

And how to become a better data leader in the process.

Building a Better Data Culture: An Interview with ThoughtSpot’s Cindi Howson

We sat down with Cindi Howson, Chief Data Strategy Officer at ThoughtSpot about common challenges organizations face on the road…

Must-have Priorities for Your Data Team in 2021

In 2021, it’s not just about having the “modern data stack.” It’s about having a modern approach to working with…

How To Convert 100% of Your Proofs of Concept into Happy Customers

How Monte Carlo's approach to "treating prospects like your best customers" leads to successful PoCs and better happier users.

On Data Governance: Maria Villar, Head of Enterprise Data Strategy and Transformation

We sat down with Maria Villar, Head of Enterprise Data Strategy and Transformation at SAP, to learn how the best…

How to Set Up Your Company’s Data Quality Strategy for Success

5 essentials steps for accelerating the adoption of data at your company…

Fighting Churn with Data: An Interview with Zuora Chief Data Scientist Carl Gold

And why data reliability is top of mind for the Subscription Economy…

On the 2020 Elections, Texas Hold’em Poker, and Monte Carlo Simulations

What do Texas Hold 'Em poker, Monte Carlo simulations, and the 2020 U.S. elections have in common? It's more than…

Why Hiring a Data Analyst Won’t Solve Your Business Problems

Building a strong data culture is challenging for even the data teams. We partnered with Data Culture co-founders Gabi Steele…

What Every Data Team Needs to Know Before You IPO

We share 5 essential ways data teams can prepare their companies for a successful IPO.

Which of the Six Major Data Personas Are You?

Who is responsible for data reliability in your data organization? The answer may surprise you.

What Does it Take to Succeed as a CDO in the Age of COVID-19?

We share three key takeaways from the event and propose next steps for CDOs to retain their competitive edge in…

[VIDEO] 3 Best Practices for Data Organizations: Structure, ROI, & Communications

Barr Moses, Monte Carlo co-founder and CEO, discusses best practices for how to get started building your data team with…

4 Essential Tactics for Managing a Great Distributed Data Team

Everything data leaders need to know about managing distributed teams in our remote-first world.

Good Tales of Bad Data

When data breaks and no one hears it, does it make a sound? And other tales for data teams.

How to Scale Your Data Team with Confidence

Building a data-first culture in our remote-first world takes more than a few fancy algorithms.

Bad Data, More Problems

And other important lessons for the data industry.

4 Ways to Lead with Data During a Global Pandemic

Defining the role of data leaders during a pandemic.

How to Measure the ROI of Your Data Organization

A more pragmatic approach to measuring the value of your data team.

Every Company is a Data Company (But Not Every Company is Good at Data)

The inverse relationship between data appetite and data success.

You Say You Want a (Data) Revolution

Lessons learned making data a priority for the enterprise.

3 Takeaways from the 2019 Chief Data Officer Symposium

What the world’s most innovative CDOs are up to.

Closing the Data Downtime Gap

How to get ahead of bad data.

What is Data Downtime?

Data downtime refers to periods of time when your data is partial, erroneous, missing or otherwise inaccurate.