INTRODUCTION
RevOps, sitting at the intersection of sales, marketing, customer success, and finance, is evolving fast. As more organisations look to drive growth efficiently, the pressure is on to make better, faster decisions. That depends on clean, connected data and the ability to extract real insight from it.
At DVS, we work with high-growth and private equity-backed businesses to make that happen. We’re an end-to-end RevOps partner. We help define where data and analytics should be deployed to create strategic value, and we build the capabilities to support it—automating data flows, aligning teams, and delivering reporting that drives action.
Last week, we joined a session hosted by the RevOps Co-op: “The Good Enough Data Trap: Hard Truths from the 2025 State of RevOps Report.” It was packed with insight into where teams are getting stuck and what the best are doing differently.
AI IS ENTERING THE REVOPS MAINSTREAM
Around 80% of RevOps teams are experimenting with AI, from predictive analytics to content generation. Generative AI is especially useful for unlocking insights from messy, unstructured data. But adoption and impact remain uneven. The common blockers? A lack of clarity on use cases, weak data foundations, and internal capability gaps.
For CFOs and CEOs, the real question is: are our data and systems actually helping us make faster, sharper commercial decisions – or just adding more noise?
data quality erodes performance
More than 40% of respondents said their data was “good enough,” yet over 70% admitted it was undermining their ability to execute. Whether it’s segmentation, forecasting, or lead routing, small data issues quickly add up. They affect decision-making, slow down teams, and ultimately hold back growth.
This isn’t just a hygiene issue. It’s a performance issue.
the real gap is strategic alignment
One of the most telling stats from the report: 79% of companies with poor data quality don’t have a shared definition of what “good” looks like. Nearly half said leadership lacks visibility into the technical reality.
This isn’t about cleaning up Salesforce or buying another tool. It’s about aligning the business – across finance, sales, marketing, and ops—on what matters, how to measure it, and how to act on it.
Without that, systems become fragmented, reports become inconsistent, and valuable time is wasted reconciling numbers instead of using them.
what leading teams do differently
The high performers aren’t necessarily spending more – they’re getting clearer, faster. They:
Define what “quality” data means in the context of their commercial goals
Align cross-functional teams on shared metrics and systems
Automate low-value manual work to free up time for high-impact tasks
Give leaders access to timely, reliable insight they can act on
How DVS helps
DVS is an end-to-end RevOps partner. We help high-growth and PE-backed businesses turn information into a competitive advantage by combining strategy, systems and delivery.
Strategy consulting. We work with CFOs, CMOs, CROs and their teams to define where data and analytics can drive value. That includes selecting the right KPIs, aligning teams on metrics, and building the roadmap for data-enabled growth.
Building data capabilities. We prepare, clean and automate the data flows that power consistent, scalable reporting across the commercial organisation – from marketing performance through to pipeline, conversion, and retention.
Insight infrastructure. We design and implement tools that turn data into action. Dashboards, forecasts, and decision-support systems that leaders can rely on.
Driving alignment. We help teams build a shared source of truth, with platforms and processes that encourage real collaboration.
AI-powered data enrichment. We’ve developed a proprietary enrichment engine that scrapes publicly available sources – like company websites, LinkedIn, and Wikipedia – to enhance CRM and go-to-market data. That enriched layer gives you a stronger foundation for targeting, segmentation, and predictive modelling, and unlocks more value from both machine learning and generative AI.
If you’re trying to turn data into a real growth lever – not just a reporting layer – we’d love to help.
We’d also be curious to hear how others are thinking about this.
Sweeping US Tariffs: What This Means for the UK