If your reports don't match, your CRM is full of duplicates, or your spreadsheets are doing backflips — grant applications get harder than they need to be. I help nonprofits get their data clean and stable before it's crunch time.
Async, email-based process. No weekly meetings required.
Nonprofits shouldn't have to scramble before a grant deadline. But when data is inconsistent, reporting gets slow, stressful, and hard to defend. Here's what that actually looks like:
The process is calm, structured, and async — meaning no weekly check-ins eating up your schedule. Here's what working together actually looks like:
I review how your data enters your systems, how it flows, and where things go sideways. You'll get a clear score and a ranked list of what to fix first.
Data Readiness AssessmentDeduplication, field standardization, cleanup rules. I work through the issues systematically and document everything so your team knows what changed and why.
Data Foundation CleanseThe cleanup shouldn't have to happen twice. I install lightweight automations that catch problems before they enter your system — so the mess stays away.
Integrity EngineYou'll get a score + fix-first plan. I'll reply with next steps within 48 hours.
Every time someone signed up to volunteer or participate, staff had to manually move that data into their messaging system — and hope nothing got lost, doubled, or missed. It was slow, it was fragile, and the duplicate contacts piling up meant their headcount numbers couldn't be trusted. I fixed the flow once, and built guardrails so it stays fixed.
Switching platforms is supposed to make things better. But mid-migration is also when things quietly break — and in a nonprofit, a broken intake flow or a silent data mismatch can show up at the worst possible time: when you're pulling reports for a funder. I made sure that didn't happen.
If your ED or founder is the only person who knows where a volunteer stands in the onboarding process — that's a data problem, not just an operations problem. Funders want to see that your organization runs on systems, not on individuals. This nonprofit's onboarding lived entirely in emails and people's heads. I designed a way out.
Every engagement starts with the Assessment — it's how we figure out exactly what your data needs. Most clients leave grant-ready after the Assessment + Cleanse. The Engine is an optional upgrade for orgs who want ongoing protection.
All paths start with the Assessment — every button above takes you there.
You don't need to have everything figured out. You just need to know something's off — and want a clear path to fixing it before your next grant deadline.
See If Your Data Is Grant-Ready →Async, email-based. No weekly meetings. Reply within 48 hours.
Before the Assessment, see exactly where your data stands. The Grant-Ready Data Checklist walks you through 24 yes/no checks across 7 key areas — source of truth, reporting readiness, automations, and more. Simple, fast, actionable.
Still have questions?
I'm happy to help. Reach out directly, or start with the Assessment when you're ready.
Every time someone signed up to volunteer or participate, staff had to manually move that data into their messaging system — and hope nothing got lost, doubled, or missed. It was slow, it was fragile, and the duplicate contacts piling up meant their headcount numbers couldn't be trusted. I fixed the flow once, and built guardrails so it stays fixed.
Note: This project predates Hello, DataFlow's formalized offers and has been mapped to the closest aligned services.
When your contact data is clean and your intake is automated, you're not scrambling to fix numbers before a grant deadline — you're already ready.
Switching platforms is supposed to make things better. But mid-migration is also when things quietly break — and in a nonprofit, a broken intake flow or a silent data mismatch can show up at the worst possible time: when you're pulling reports for a funder. I made sure that didn't happen.
Note: This project predates Hello, DataFlow's formalized offers and has been mapped to the closest aligned services.
A migration shouldn't put your data at risk. When it's done right, you come out the other side with cleaner data and stronger systems than you had before.
If your ED or founder is the only person who knows where a volunteer stands in the onboarding process — that's a data problem, not just an operations problem. Funders want to see that your organization runs on systems, not on individuals. This nonprofit's onboarding lived entirely in emails and people's heads. I designed a way out.
Note: This system was fully designed and documented. Full rollout was paused due to a leadership decision — not a technical or operational blocker. This project predates Hello, DataFlow's formalized offers.
When your onboarding runs on a system instead of a person, you can tell funders exactly how many volunteers you have, where they are in the process, and what they've completed. That's the kind of operational clarity that builds credibility.