What You Get with Our Data Cleansing Software

Unmatched Speed and Accuracy, Big Data Capability, Proprietary Matching Algorithms & Code-Free Matching

What is Data Cleansing?

Data cleansing, also known as scrubbing and wrangling, is a data quality process that allows your business to improve the accuracy and usability of your data by resolving errors, enriching it, and providing a standardized, consistent result.

How Can Data Cleansing Software Help You Grow Your Business?

Data cleansing software helps you make the right decisions, improves efficiency and productivity, increase sales, and helps you leapfrog the competition.

Data cleansing software

A feature-rich toolkit that helps you to eliminate inconsistent and invalid values, create and validate patterns, and achieve a standardized view across all data sources, ensuring high data quality, accuracy, and usability.

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Benefits

Why do you need a data cleansing tool?

Keep your data error-free

Remove missing, incomplete, and invalid values to avoid major roadblocks in the execution of business processes.

Preserve data usability

Presence of data doesn’t guarantee data usability; improve data adaptability with a clean and standardized dataset.

Benefit from data-driven initiatives

Make the best decisions for your business by using clean and reliable data sources and gain true business insights.

Ensure data compliance

Ensure that your data management strategies comply to data compliance standards, such as such as GDPR, HIPAA, CCPA, etc.

Improve brand loyalty

Perform CRM data cleansing and leverage accurate information to offer personalized experiences to customers.

Stay relevant and up-to-date

Run quick data quality checks with an easy-to-use and inexpensive data cleansing tool for staying relevant and up-to-date.

Features

What DME’s data cleansing can do for you?

Removals and replacements

With DME’s data cleansing tool, you can remove or replace empty values, leading and trailing spaces, specific letters or numbers, non-printable characters, and more.

Parsing and merging columns

Run data fields against a dictionary of words to identify its sub-data elements (such as Street Name and Number for Address), and merge columns to follow custom-created formats.

Transforming letter cases

DME offers various features for transforming cases of letters in strings, ensuring a consistent and standardized view across all data sources.

Building and recognizing patterns

Use DME’s extensive pattern library while data profiling and data standardization. It offers the ability to identify valid and invalid values, as well as transform data fields to follow a defined pattern (a technique widely used for masking personally identifiable information (PII)). DME also offers a visual, drag and drop regex designer for creating custom patterns.

Working with commonly used words

With DME’s wordsmith tool, you can fetch the most repetitive words occurring in a data field, and decide to flag, replace, or delete certain words to achieve standardization, and prepare data for matching and deduplication.

There’s more

What else do you get out of the box?

Our data cleansing solution comes with a number of in-built features that facilitate easy, automatic, and cost-effective data cleansing operations at any time.