Hi! Quick question on data management — how do you handle noisy/incomplete data before it's clean enough to load into the CRM? We scrape company and project info from multiple sources, and managing enriched-but-messy data in Excel/Clay lists is getting unwieldy. Curious whether you're using spreadsheets, a staging database, or something else entirely. At a previous company we used a lightweight CRM just for its better data structure — wondering whether there are any better solutions.
been dealing with this exact problem. what works best for me is using clay itself as the staging layer, run all your enrichment and cleaning logic there first before anything touches the CRM. formula columns to standardize formats, claygent to fill gaps, conditional columns to flag incomplete rows. only push to CRM when a row meets a minimum quality threshold, like email verified, company name clean, required fields populated. keeps the CRM clean without needing a separate database.
excel for this kind of volume just breaks down fast, clay handles it way better.
Same issue tbh. I use clay as a staging layer and do all enrichment and clean up there before pushing to the CRM. Formula columns to standardise, claygent to fill gaps and conditions to flag incomplete rows. Only push once it meets a quality bar like verified emails, clean data and key fields filled. Keeps the CRM tidy. Spreadsheets fall apart at this scale anyway, clay handles it much better.
