Month: December 2018

Project Title: Database Cleansing through Data Segmentation Process Project Description: We are in a need to identify and manage duplicates which exists within our supporter database. Our database consists of multi-million records. Please note that duplicates are not the issue; a far deeper problem existed in relation to data suppression – movers, goneaways and deceased. Due to the extremely high number of data suppression within…

Project Title: Sales Manager Database Cleaning Project Description: We are maintaining a database that consists records of Sales Manager. The database is quite messy & unclean and thus, we need to cleanse the database. We want that the details of each sales manager be cleansed, standardized, verified and validated against all the reliable sources of information. You have to identify the repeated entries, match, merge…

Project Title: Cleaning & Updating Customer Records Project Description: With the rise of undelivered emails, duplicate mail deliveries and failure to reach customers by phone, we have decided to clean & update our customer records. We want you to cleanse, verify and validate the contact details of more than 95,000 users which includes rectifying spelling errors, DE-duplicating the data and conducting intense Google search to…

Project Title: Validating, De-duplicating & Enriching the Database Project Description: We have 1.5 million records in our database—duplicates are rampant and historical data corrupt which results in an inability to build an accurate lead qualification system. We want you to eliminate duplicates so that, we can find a way to tell a compelling story during their sales process. After eliminating duplicates you will have to…

Project Title: Data Cleaning to Improve Marketing of Ticket Sales Project Description: We require some advanced data cleansing to help us improve our marketing of ticket sales, particular with helping to identify duplication and to help make the data look more professional. We need assistance from a company, which attains methods for identifying missing data, validating email addresses, correctly standardizing names and addresses, removing unwanted…