Database Cleansing Software
Improve database integrity and reliability by investigating your data at scale, cleansing it of duplicates and errors, surviving crucial data, and creating and reusing standardization rules.
Did you know?
Time is spent cleansing data rather than analyzing it
Surveys revealed that up to 80% of an analyst’s time is spent cleansing data rather than analyzing it. The increasing volume of incoming data and variety of sources makes it difficult for organizations to govern how data is entered, thereby affecting accuracy and completeness. The end result? Dirty data, wracked with spelling errors, incomplete information, inaccurate input, duplicate entries, and unstandardized data. So, for analysis, this data has to be painstakingly cleaned before its usable.
Why does this happen?
Data decays every month because of changes in jobs, addresses, phones, etc..
Lack of data governance processes results in unstandardized input, contamining enterprise systems
Nicknames, name variations, and abbreviations cause duplicates.
Links between similar records are not recognized because of incomplete information.
What is Database Cleansing?
Database cleansing is an aspect of data quality where errors are discovered and corrected in a database. While prevention is the crucial first step in maintaining data quality, the increasing number of ways internal and external customers interact with a business has made it impossible to catch errors from entering client databases. Database cleansing software makes it possible to profile your data accurately – within and across databases – and understand how it needs to be cleansed, create a data cleansing strategy and execute it, create standardization processes for enterprise-wide data, and conduct regular audits for data quality monitoring.
Database Cleansing Automation
Experience automation with database cleansing software by visually creating your database cleansing process – little or no technical knowledge required.
Customer List Cleaning
Detect erroneous phone numbers, names, email addresses, and mailing addresses with advanced pattern matching and built-in standardization libraries.
Merging and Survivorship
Define data survivorship rules to merge linked records into a “golden” record and prevent data loss by extracting additional data to separate fields.
What You Get With Our Database Cleansing Software
Rated faster and more accurate than IBM and SAS, DataMatch consistently had the least number of false positives in independent studies.
Use over 300,000 built-in libraries to detect and resolve alternate spellings, nicknames, missing area codes, postal codes, and more.
Deduplicate and enrich your data with proprietary fuzzy, probabilistic algorithms, paired with phonetic and deterministic techniques.
Find and replace unwanted characters, patterns, and specific words from millions of records to automate list standardization and cleaning.
Data Ladder’s database cleansing solution helps you define a complete data cleansing strategy, guiding you through: