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Bulk Data Cleaning

Project Title:Data Matching and Cleaning – 8 Million Records Project Description: I work for a management consulting firm in Atlanta, USA. We are trying to match ~8 million messy company names to a dataset of ~14 million clean/official legal company names; or, if you have a database of company records that you already use, we’d be interested in that. Is that something you can do?…

Clean Up Database

Project Title: Clean Up Database and Remove Duplicates Project Description: We recently took our existing contact database that we’ve been building since 2013 and imported our data into hubspot. Our contacts exceed 6,000 profiles, and I would like to request a clean up to remove duplicates, emails which no longer exist and profiles that are now invalid (no longer at company) or outdates job titles…

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Jun
Database Cleaning

Project Title: Database Cleaning Project Description: Over the recent years we collected about 18’500 end consumer addresses through different sources. To strengthen our efficiency we plan to build a CRM and therefore we are unifying all these addresses into one data pool. For this process we need to go through all addresses and see if the given name/family name is in correct order and add…

Addresses Correction and Standardization

Project Title: Postal Addresses Correction and Standardization Project Description: I would like to have a quote for a data cleaning. We have around 400k client information and we need to clean our database. Cleaning required: – Postal Addresses correction and standardization, including postal code validation. For similar work requirement feel free to email us on info@datacleaningservices.com.

data enrichment

Project Title: Data Enrichment – People’s Missing Titles, Emails, Company Names Project Description: I’m contacting you on behalf of Broadreach Group. We are a boutique recruiting firm and we have a huge (over 125,000 individuals) database collected from over the years consisting of candidates, clients, referrals, etc. We have come to the point where our dataset is way too big and there’s too much missing…