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.
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.
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.
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.
Experience automation with database cleansing software by visually creating your database cleansing process – little or no technical knowledge required.
Detect erroneous phone numbers, names, email addresses, and mailing addresses with advanced pattern matching and built-in standardization libraries.
Identify duplicates and linked records using sophisticated fuzzy matching algorithms. Choose whether to merge and purge records, or survive specific data.
Define data survivorship rules to merge linked records into a “golden” record and prevent data loss by extracting additional data to separate fields.
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.
Database cleansing tools can eliminate many common human errors, such as incorrect spelling, improper formatting, or missing zip codes. They can also save a lot of money and time for a company by minimizing the manual effort involved in cleaning database, detecting duplicates, and fixing errors.
Data Ladder’s database cleansing solution helps you define a complete data cleansing strategy, guiding you through:
Reviewing data that cannot be automatically corrected to fix false positives and negatives, thereby tuning your database cleansing process further.
Helping you assess the state of your data and what and how you’d need to cleanse.
Executing your data cleansing and standardization workflows, and helping you merge, purge, and survive as necessary.
Creating the necessary cleansing and validation rules within your database cleansing software.
Defining and planning the parameters of your cleansing approach.
Monitoring your database, generating reports, and tracking results.
The advanced parameters available make our solution one of the most powerful data solutions available. Users can use built-in configurations or define their own parameters. Select the formatting you need for phone numbers, addresses, and any other type of data and all the data that is detected to fit the pattern will be standardized. All invalid data is highlighted – email addresses that have typos or punctuation, phone numbers with missing area codes, invalid addresses, and other types of erroneous data included.
Data Ladder’s data standardization capabilities help present your data in a consistent format while creating governance processes. Our patented WordSmith™ functionality identifies and counts unique values in your lists and allows you to replace, delete, or extract values into new fields for standardization in bulk. Other quality improvements include proper casing for names – john smith becomes John Smith – and linking duplicate records created due to nicknames (Jim White and James White), and more.
DataMatch database cleansing software can process 100 million+ records, within and across databases, and has been rated the fastest and most accurate list cleaning software in multiple independent studies, consistently outperforming competing solutions from IBM and SAS. Whether you’re a business user or IT, experience the power of code-free, intuitive database cleansing and increase operational efficiency today.
During your 30-day trial, you can access DataMatch Enterprise™ risk-free. The software is user-friendly and easy to install – what you see is what you get! However, we recommend a 30 to 60-minute non-obligatory online consultation with one of our subject matter experts to help you get the most out of your free trial.