Data architecture is your business foundation ... so clean, trusted, connected data flows everywhere that you can build upon.
Aligning how your CRM, ERP, and other core systems define and connect the same data, so every team works from one structure instead of reconciling five.
Tracing exactly where each critical number originates and how it moves, so when something breaks, you know where to look instead of guessing.
Retiring redundant tools and integrations that duplicate the same data, cutting cost and complexity at once. This includes licensing costs related to every platform.
Ongoing visibility into the health of your data pipelines, so drift and breakage get caught before they reach a board deck.
Finance and Ops argue over the numbers, because the same fields mean different things in different systems.
Measurable improvement: duplicate rates under 2%, meaningful reductions in tech spend, and a single source of truth within months (not years).
Data that was accurate last quarter breaks quietly, due to misconfigured integrations or siloed updates.
Operational wins: unified reporting, reliable inputs, and forecasting your team trusts. The first time.
Critical processes depend on a single spreadsheet or a single person, with no documentation behind them.
Executive wins: board-level confidence in the numbers driving decisions, including M&A activity.
Dirty data now costs the U.S. economy $617 billion a year, and that number's set to double by 2030.
What is looks like might seem familiar; Priya's a leader who wants a clean executive dashboard with pipeline and revenue leading and lagging indicators before their next planning session. She pulls in the usual reports, but her instinct tells her something's not right ... and after a bit of digging, she's right: the CRM doesn't match what's in Finance's ledger, much less the warehouse's order systems.
And nobody knows the custom rules for the data architecture put into place five years ago when this system was built.
Every engagement starts with the Eight Domains and Four Rs: relevant, reliable, revealing, reusable. That's how you know exactly what's trustworthy before a single dollar goes into activation.
Data architecture has to outlive whatever platform sits on top of it. We build for portability first, so a future CRM or ERP migration doesn't mean starting over.
A national wealth management firm needed a trustworthy data foundation to support ongoing acquisitions without breaking reporting each time.
Placing your trust in DoubleTrack, Andy, and the team may be one of the best things you could ever do for your business. His vision and expertise have significantly, positively impacted both our topline and bottom line.
Your internal team understands the business better than anyone. They know the systems, the history, and the constraints nobody wrote down. What they often lack is the outside pattern recognition that comes from solving the same architecture problems across dozens of organizations. We typically work alongside your team: we bring the framework, they bring the context. That combination consistently beats either working alone.
We start with an assessment of your current state: how data actually flows across your systems, where definitions conflict, what's authoritative and what isn't, and whether that supports your real business objectives. From there, we design the target architecture: which systems own which data, how objects relate across your CRM, ERP, and billing platforms, and what governance needs to be in place. Implementation follows, usually alongside your internal team. Engagements range from a focused assessment (a few weeks) to a full architecture redesign (several months), depending on complexity and how much technical debt has accumulated.
It's the data layer underneath every team, platform, and process. We define how customer, deal, product, pricing, and billing data is defined, governed, and connected across your organization. That reduces the friction that slows teams down and the errors that hit your bottom line.
AI amplifies whatever already exists in your data. Clean, well-structured data produces reliable outputs. Fragmented, inconsistent data produces confidently wrong ones. We build that foundation first, before deployment starts.
The DoubleTrack Success Guarantee: our way of putting skin in the game because we're that confident of the impact you'll see.
KPIs you agree with, with a portion of project fees aligned to meeting them.
Ready to put us to the test?
Architecture. Before activation.
