Data Cleansing Tools Overview
What are Data Cleansing Tools?
Data cleansing or data scrubbing is a process for removing corrupt, inaccurate or inconsistent data from a database. Regular data-cleansing corrects records containing incorrect formatting, typographical mistakes, or other errors. Cleansing might also mean harmonizing records so that they are consistent with each other.
Data cleansing software systematically searches for discrepancies or anomalies by using algorithms or lookup tables. It then corrects the issues. An automated process of this kind is much more efficient than trying to fix errors by hand.
Regular data cleansing operations are critically important as erroneous data records can ultimately lead to erroneous conclusions and misguided investments decisions. Data cleansing tools often have featural overlap with data deduplication, data preparation, and data quality tools.
Data Cleansing Tools Features & Capabilities
Data cleansing tools generally contain these and other similar feature sets:
Raw data ingestion
Support for a wide variety of data formats (e.g. .csv, .xml, etc)
Phone & email validation
Address & zip code cleansing
Auto or manual data mapping
Data consolidation and ETL
Data validation, matching, reconciliation
Data analysis, charting
Simple data cleansing tools are open source and available free. Otherwise, vendors offering business intelligence or data management tools also provide data cleansing tools. These vendors may offer a free 30-day trial of their data cleaning products. Afterward data cleansing tools are available on a subscription basis. Pricing corresponds to volume of data stored or exported. Pricing may also correspond with the number of validations (e.g. email, address) performed.