Allie Beazell

Are you amped for our community expert speakers? Here's everything you need to know about the conference, including details on the virtual keynotes, our speaker sessions, workshops, and live happy hours going down on July 28 & 29.

Welcome to the official Operational Analytics blog, The Operator. Enjoy all of our carefully curated technical and product content with a better UI, so you and your team can find all the information you need to grow your data knowledge base.

Looking to sharpen your data skills, share your knowledge, and meet more awesome data people IRL this summer? Join ☀️ Summer Community Days ☀️, a two-day, practitioner-first community conference July 28 & 29 hosted by The Operational Analytics Club. 

Data-driven businesses often have so much data at their disposal that they suffer from choice paralysis. The public sector, however, has a more intentional workflow that we could all learn a thing or two from.

Data folks often think that being right is the only thing that matters, but it's not. Census co-founder and CEO Boris Jabes and Mode founder and CAO Benn Stancil have opinions on what's actually most important in this industry: confidence.

Traditional data culture uses data teams to make dashboards that influence decisions, but that might not be the most effective strategy. Census CEO Boris Jabes and data leader Erik Bernhardsson have some thoughts on using your teams to become a truly data-driven company.

It's no secret we believe community is key to a successful data career. Which is why we were so excited to have Jessica Cherny, co-founder of Data Angels, appear on The Sequel Show.

Data-driven operations is the hot topic of the day for most companies, but it isn't enough. Thankfully, Census CEO Boris Jabes and Bigeye Co-founder and CTO Egor Gryaznov have shed some light on what to do instead.

It's data people, not data tooling alone, that'll move our industry forward. That's why we've created The Operational Analytics Club. To help data people (like you).

Customer success teams have a lot on their plates: retention, product adoption, expansion, and more. Here are some of our favorite stories of how cutting-edge CS teams have harnessed reverse ETL to make their -- and their customers' -- lives better.

Sales in the PLG era come with some unique challenges. Thankfully, reverse ETL can help you connect with prospects faster than ever. Here are some of our favorite stories of data-driven sales heroics.

Marketing teams: Do want to do more with your data, drive better business value, and connect with customers easier than ever before? Reverse ETL can help. Check out these stories of how some of our favorite marketing teams went from good to great by operationalizing their data.

Curious what all this reverse ETL hype is all about? We got you. Check out this round-up of some of our favorite data team success stories and see what's possible when you operationalize your data.

In the final installment of our series on evaluating reverse ETL vendors, we dive into three (more) key considerations for finding the best reverse ETL tool for your use case.

In part 3.1 of our series on evaluating reverse ETL vendors, we dive into four key considerations to keep in mind while you shop: Data connector quality, sync robustness, observability, and security & regulatory compliance.

In part two of our series on evaluating reverse ETL vendors, we break down the price/cost of DIY reverse ETL solutions and best practices for weighing if you want to build reverse ETL yourself.

In part one of our series on evaluating reverse ETL tools, we dive into why you should invest in reverse ETL in the first place (and why you should do it right now).

Looking to take your SQL skills to the next level (and save some sanity)? It's time to tackle SQL window functions to unlock advanced analytics and deeper data insights.

Companies often get caught up feeling like they need the entire modern data stack built before they can start getting more out of their data. Instead, you can get started today by focusing on the most important, lowest-lift stack improvements.

We often talk about the warehouse as the brain of your business, but it takes a full nervous system of tooling to make the modern data stack possible. Check out the unique role each tool plays in turning your data into action.

If you've been struggling to use Pipedrive as a sales CRM, but can't figure out how to get the other valuable info your team needs into it, you're in luck. With a bit of custom python, you can significantly improve your sales process.

Shiny new tools alone won't rid you of data silos. You need good governance paired with data orchestration services to truly operationalize your data.

There's more to a great, meaningful data career than technical skills. To take your career to the moon, you need to invest in people skills to help you understand why your data matters, too.

While machine learning and deep learning are shiny trends, there are plenty of insights you can glean from tried-and-true statistical techniques like survival analysis in python, too. Here's how.