Monte Carlo

The perfect holiday treat! Monte Carlo was just named #1 Data Observability solution by G2 for the 7th quarter in a row. Of course, companies win awards all the time—what really matters at the end of the day is whether or not we’re making a difference for your customers. At Monte Carlo, we aren't creating a bunch of tools and then looking for problems to solve. We ask our customers what problems they already have—and then we get to work solving them. Few things make me happier than when a customer says “we've been listened to.” The same customer obsession we had back in 2019 when we launched Monte Carlo is the same customer obsession that drives us forward today. And reading reviews like this gives me all the confidence that we’re headed in the right direction. #dataobservability #datareliability #dataquality #customerobsessed

✨ Wishing you all a joyous holiday season from your crew at MC! ✨ In December, the Monte Carlo celebrated the holidays around the globe! Our amazing team put on 11 global IRL and virtual events this month... from cocktails in Dublin to Pirates of the Caribbean in Los Angeles to surprise reindeer guests at our last virtual company all hands of the year! It's been so much #fun. Photos in order: - Dublin, IRELAND - Dallas, Texas, USA - Disneyland, California, USA - Las Vegas, Nevada, USA - New York, New York, USA - Oakland (Bay Area), California, USA - Seattle, Washington, USA - Tel Aviv, ISRAEL - Montevideo, URUGUAY - Vancouver, CANADA - Team sync with reindeer guests in Alaska! (VIRTUAL) A huge thank you to our incredible Office/Culture Managers Cassandra Quan and Shani Kedem, and our Regional Leads Helena Muñoz, Prantik Bhattacharyya, Vanessa Mehaouchi, Shelli Francoise, Sandra Morris, Terry Lucy, Yijia Zhan, Phil Volkert, Sydney McCutchan, Thomas Sherman, Devon McMahon, Catherine Noonan, Matthew Stevens, for all your hard work in 2024! Also a huge THANK YOU to our incredible leaders for their direction and support to ensure these good times happen, especially Barr Moses and Dan Nemo!

Join us for the next stop on our IMPACT World Tour in Denver on January 14th! 🥂 Register here: https://lnkd.in/ePSX5iaG

Happy Holidays from the Monte Carlo team! 🎄🎅 This one's for all you data analysts out there. Get some well-deserved rest this holiday season! Want to give the gift of data observability this season? Talk to our team: https://lnkd.in/dNw7tRK5 #dataanalyst #analyst #data #AI #dataquality #dataengineering

You know the story of Rudolph the Red-Nosed Reindeer. But do you recall...The most famous analyst of all? Sing along if you know the words. Happy Holidays, everyone! And remember, be kind to your analysts. Schedule a demo with Monte Carlo.

🎁 Our gift to you: The December edition of The Observer is here! 🎁 Read on for all the hot trends and hot takes about data and AI in 2025. 👀 Happy Holidays!

💡 Assumptions can only take you so far. Real insights come when the data tells the full story. Samiksha Gour from SurveyMonkey shares how her team uses surveys to uncover the real challenges they face, like tackling data quality issues and streamlining data processing. As Samiksha put it: “Don’t go by assumptions, go by data.” Read the blog (link in comments) to learn how SurveyMonkey is teaming up with dbt Cloud and Monte Carlo to turn insights into action. 

As we turn the corner into 2025, we’re absolutely thrilled to announce that Monte Carlo has been named the #1 Data Observability Platform and #1 in the Data Quality category by G2! 🎉 This recognition means the world to us, especially because G2 bases their rankings on feedback and insights from real customers who work with Monte Carlo every day. Knowing our products are helping our customers achieve their data goals means everything to us! HUGE thank you to our incredible customers and partners for being on this journey with us. We couldn't do it without you! Learn more here: https://lnkd.in/edKHZYXV #dataobservability #dataquality #dataops #enterprisedata #datareliability

No matter what industry you’re in, bad data means risk. But in the financial sector, that risk is a whole lot riskier. Whether it’s meeting their massive regulatory demands—Dodd-Frank, Sarbanes-Oxley, GDPR...the list goes on—or powering models for critical financial products, reliable and properly governed data isn’t up for negotiation. And as more AI technology emerges to power financial use-cases, managing the reliability of the data is more urgent than ever. That’s just part of the reason I’ve been so honored to partner with Michael Weiss, AVP of Product Management at Nasdaq, to scale his team's data quality strategy with observability. I love this quote from Mike: "Data observability means is really monitoring your data end-to-end in your distributed environment. It is understanding both the quality of that data, lineage, and impact AND the financial cost of your data being down." If you’re in the financial sector and you weren’t at Amazon Web Services (AWS) Re:Invent, check out Mike’s session where he shared his team’s data reliability journey in the age of AI volatility. It’s worth the listen! https://lnkd.in/gQpnuDVU

Curious how a leading #FinServ company like Nasdaq uses Monte Carlo? Check out the replay of their session at AWS re:Invent this year to get a deep dive. 🚀 Michael Weiss, AVP Product Management at Nasdaq, shares how his team built a data quality program at scale with data observability at the core, reducing data downtime and driving data reliability. Watch the full talk here: https://lnkd.in/eXNWScgK #dataobservability #datareliability #FinServ #FinTech #dataquality #AWS