
I merge duplicates, fill in missing fields, make naming consistent and move files to where your team expects to find them. I do the tidying first, then write down simple rules so the records stay in good order.
Data cleanup is going through the records a business already has and making them correct and consistent: merging duplicates, filling in missing fields, fixing spelling and formats, and removing what is out of date. I do this in CRMs, spreadsheets and shared drives, then write down the naming and entry rules so the same problems do not build up again. I work remotely from Moncton, Canada.
This usually happens gradually. Records build up over the years, different people enter information in different ways, a system gets replaced, and eventually the reports stop matching what the team expects.
The same person or company entered more than once, often with different spellings, so counts are wrong and follow-up goes out twice. I find them, agree with you which record to keep, and merge the rest without losing the history attached to them.
A field that is blank on half your records cannot be filtered, segmented or reported on. I fill in what I can from information you already hold, and flag what needs to be requested.
Phone numbers may be written in four formats, dates in two, and company names with and without Inc. These small differences affect sorting, matching and any automation that reads the field. I make them consistent.
Bounced addresses, closed businesses and contacts who left years ago make your numbers look larger than they are and can raise per-contact pricing. I archive or remove them with your approval.
Shared drives often grow without a plan, with three folders that mean the same thing. I build a structure that matches how your work runs, then move files into it.
If nothing changes after a cleanup, the same problems usually return within a year. I write down the rules for naming and entry so the next person enters records the same way.
I do the same work in whichever system holds your records.
CRMs
Spreadsheets and databases
Files and documents
Moving data between them
Cleaning the records first means you only pay to move the ones worth keeping, and the new system starts with accurate data rather than years of duplicates.
A dashboard depends on the fields it reports on. I standardize those fields first so the report shows accurate numbers.
When the person who knew the filing system leaves, I work out how things were named and organized, then set up a structure the rest of the team can follow.
I review the records monthly or quarterly to merge new duplicates, fill in missing information and keep everything usable.
I reorganized a telecommunications company's shared-drive environment around active work, templates, historical records and technical resources.
Read case studyI reviewed reporting needs and redesigned a HubSpot dashboard to bring membership and sponsorship information into a clearer visual layout.
Read case studyI built a tool to search a large document collection against a defined checklist and organize potential matches into a review dashboard.
Read case studyCommon questions
Pipelines, automations and workflows once the records underneath are right.
Explore CRM & Marketing OperationsReports that pull from your own data instead of being retyped each month.
Explore Business Reporting & DashboardsThe recurring admin work, including keeping records up to date.
Explore Admin & Operations SupportSend me a rough idea of how many records there are and where they are kept. I will tell you what the cleanup involves and what it costs before you commit to anything.
Book a free callThe booking page shows my available times, so you can choose one straight away. If you would rather write first, send a message through the contact page and I will reply within one business day.
Tell me what you need help with, and I will suggest where to start.
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