Openprise

Let’s talk data quality, N’awlins-style. We’re headed to RevOpsAF with our friends at RevOps Co-op this May to help you jazz up your data quality. ?? From May 6-8, stop by our booth to learn how we can help you harmonize your data orchestration so you can make smarter, faster decisions. P.S. Don’t forget to catch our session on AI’s role in data quality—Courtney Sylvester and Dominic Freschi, Jr. will reveal why AI isn’t the cure-all you think it is, especially when your data’s seriously out of tune. Who's excited? ????♀?

How many times have you heard (or silently screamed to yourself) “We have a data problem!” We sat down with Jared Barol, VP of GTM Strategy at Copy.ai to talk about the “big, bad data monster” haunting SaaS companies across the valley and how his critical path framework can help. Your “data problem” might not be what you think. The real issue is often misalignment across teams, not the data itself. Think about it: ?? Sales blames marketing for bad leads ???? Marketing points to attribution gaps ?? Finance struggles with forecasting But what’s really happening? A lack of alignment. When teams aren’t on the same page, they’re applying quick fixes to symptoms, not solving the root cause. So, what should you do? ??Diagnose the real issue. Is it really a data problem, or are broken processes to blame? ??Use a structured framework to categorize the problem: People, Processes, Systems/Tech, and Data. ??Start small. Tackle the easiest fix first, then scale up. Data is important, but aligning your teams, processes, and tech is what truly drives results. So before you blame the data, ask: What’s the real problem here? What’s been the biggest “data problem” you’ve had to deal with? Let’s talk about it.

Last chance to enter our scholarship giveaway for March! ??

This year, we're excited to partner with Dun & Bradstreet for a summit on Data Management and Artificial Intelligence (AI). Whether you're just starting out with AI or looking to fine-tune your data management program, this summit has tons of practical insights and great connections waiting for you. ???? Date: Tuesday, April 8, 2025 Time: 8:30 AM – 3:15 PM PT Location: W San Francisco Here’s a sneak peek of what you'll learn: ? AI & data integration: Streamline your processes with AI-driven solutions ? AI for data quality & governance: Enhance accuracy and build trust with Generative AI ? AI in sales & marketing: Real-world examples of AI’s impact on sales and marketing ? Real-world AI use cases: Hear success stories from your peers Limited seats available! Don’t miss the chance to learn from industry leaders like Malcolm Hawker, Anthony Deighton, Ed King, and many more.

Does your definition of data quality need an upgrade? ?? We think your data should be working for you. Not the other way around. The Authoritative guide to RevOps data quality by Ed King introduces a new framework designed to shift how you think about your data. His 3-tier data quality model breaks it down into three core components: ?? Technical quality – can you trust the data? ? Operational quality – can you take timely actions? ?? Strategic quality – can you make the right decisions? Data quality isn’t just about cleaning up your CRM. It’s about creating a foundation that empowers your RevOps team to make smarter decisions. How do you define data quality?

That’s a wrap on Adobe Summit ?? We had a blast talking Buying Groups, data automation, and Marketing Ops excellence. Missed us at the event? Drop us a message, and let’s chat about how you can turn messy data into Buying Group gold. ??

Let’s talk about data chaos. We all know poor data quality is a problem. But here’s the real challenge: cleaning up your CRM alone won't fix it. You have to convince leadership, sales, and marketing to make it a priority first. In our latest webinar with Marketing Ops Community on the 2025 State of RevOps Survey, we revealed the biggest data struggles that RevOps teams are dealing with—and how to fix them. Here are just a few tips we covered: ? Progress > Perfection – Small, quick wins build momentum. Don’t wait for the “perfect” fix ? Show Your Work – Report on data health monthly so leadership sees the impact ? Speak Their Language – Ditch the tech jargon. Explain why data matters in normal language that non-technical folks will understand ? Be the Trusted Guide – Go beyond reporting—help teams make smarter, data-driven decisions “An executive is never going to ask, ‘How many CMO titles do I have in my database?’ They’re going to ask more basic questions, and then it’s up to you to say, ‘Let me show you some data around who we can reach and who we can’t, and what we need to do from a targeting perspective to get more of these people in.’” - Ali Rastiello Get the full recap- https://lnkd.in/dfEpZGwD

Everyone wants to know Rippling's secret behind its massive success. So, we sat down with their VP of Growth Operations, Conrad J. Millen to learn how he built an AI-powered, dark TAM engine. In this candid AMA, he reveals exactly how he leverages machine learning to drive autonomous prospecting and hyper-personalized outreach. And yes, Openprise plays a key role in powering it. ?? Want to see how they turn all that data into revenue-ready opportunities? Watch the full webinar on demand: https://lnkd.in/gdBynsCc

We’re excited to team up with Dun & Bradstreet for this year’s Data & AI Summit! ?? Join us in San Francisco on April 8th as we dive into one of the most talked-about challenges in RevOps today: how to turn all that AI buzz into actionable strategies—without letting poor data quality get in the way.

Next week! Join our webinar, The “Good Enough” Data Trap: Hard Truths from the 2025 State of RevOps Report with RevOps Co-op! Let’s get real: “good enough” data is not good enough. If rogue leads, duplicates, and outdated automations are keeping you from hitting your revenue goals, it’s time for a data intervention. Join Jeff Ignacio, Camela Thompson, and Ali Rastiello as they unpack the findings from our 2025 State of RevOps Survey on data quality. We'll cover:? ??The real impact of ignoring the human side of data ??How to handle a C-suite that doesn’t get it? ??AI fails that actually taught us something See you there. #RevOps #RevenueOperations #SalesOps #MarketingOps