Data cleansing requires special people and software. Many companies outsource data cleansing to outside firms or in-house. This is a time-consuming process that can be costly in terms of human and financial resources. For many reasons, outsourcing data cleansing to a service provider is an attractive option. They offer high-quality technology and experienced personnel to assure accurate data.
Data cleansing is the process of removing duplicate data, missing value, null data, or other irregularities from data sets. The process may also include standardizing and combining duplicate data. Data cleansing could also be the process of converting data to a structured format. One example is the use of a data warehouse, which stores data from many sources and then optimizes it for analysis.
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Data cleaning prices range from $100 to several thousand dollars for a project. A small business may have a data
set of only a few thousand records, while a large corporation or government agency could have a recordset of
several million records. Pricing is based on the number of records and the severity of the data corruption.
Data can be cleaned by correcting errors and corruptions or manually processing the data to avoid them from happening again. While most aspects of data cleansing can be performed using software, some must still be completed manually.
Data Cleaning How to Remove Duplicate Contacts Correct structural errors. Correct missing data. Keep your data fresh. Standardize data entry.