Data Standardization Software
Transform and clean incorrectly formatted or inconsistent data with hundreds of built-in, highly customizable functions and see results instantly with data standardization software.
Profile, standardize, and monitor your data to gain a Single Customer View you can trust.
Define rules for how you want your data to be standardized across enterprise-wide data.
Audit your data and resolve issues automatically with 300,000+ built-in standardization rules.
Data standardization is the process of transforming data into a consistent and usable format. The average enterprise uses 65 different applications, and each of these systems may have different rules and formats for data storage. Add human error on top of that data is being entered and you have issues like inconsistent punctuation, capitalization, special characters, invalid entries, obscure or multiple variations of acronyms, etc.
To identify and resolve such inconsistencies, organizations often implement multiple, manual checks, or risk misinterpreting or misunderstanding corporate data. The time spent in manually reviewing data is counter-intuitive to any organization’s data management process.
You need a better, modern approach to data standardization.
You need Data Ladder.
Our industry-leading data standardization software provides a point-and-click interface to help you combine disparate data, profile it to understand underlying issues, correct spelling errors and standardize it. Standardization features include 300,000+ built-in standardization rules, creation of custom rules and libraries, pattern recognition capability to find, extract, and parse matches, WordSmith functionality to identify and replace, delete, or extract values into new fields, and automatic removal of invalid characters.
Improve reporting with data standardization and make it your competitive advantage.
Data standardization software helps you first profile your data so you can drill into it and see potential issues that might affect reporting. Once you understand your data, you can remove extraneous characters that do not conform to the required data quality standard and proceed to apply standardization rules at scale using advanced features like pattern recognition, built-in libraries, and search and replace. Data Ladder’s platform makes this even easier with our proprietary fuzzy matching algorithms, rated fastest and most accurate in the data quality space, to support your standardization efforts and take them to the next level.
Better Decision Making: Automate data standardization by implementing business rules so you can make your decisions knowing the data is accurate.
Understand Your Data: Highlight potential data quality issues like non-printable characters, missing data, mixed numbers, and letters, etc. within minutes.
Optimize Downstream Data Flow: Bring together disparate data and standardize it for a consistent, unified view for downstream use.
Improve Operational Efficiency: Standardize your data within a point-and-click interface to minimize resource allocation and oversight.
Seamless Data Migration: Ensure the success of your data migration project by standardizing source and target data and mappings.
Improve Marketing ROI: Standardize data in your CRM to ensure highly personalized marketing and increase communication deliverability.
Enrich Data with Built-in Libraries: Automatically identify and match state names, abbreviations, cities, postal codes, nicknames, and other demographic data.
Automate Repetitive Tasks: Conduct repetitive actions like removing special characters or matching names by pronunciation with one-click operations.
Built for IT and Business Alike: Self-service data standardization empowers non-technical users to take control of their data visually.
Collaborative Data Standardization: Create DataMatch projects where lines of business and IT can work together to create trusted data.
See Your Data As It Changes: Visually apply a variety of standardization rules, custom or in-built, and analyze the impact in real-time.
Flexibility Where You Need It: Intuitively import popular formats and sources to clean and enrich – no technical background required.
Unparalleled cleansing accuracy and speed for enterprise-grade data preparation, beating IBM and SAS.
Choose from pre-built patterns or build your own RegEx-based patterns visually for intelligent parsing.
Use built-in libraries to detect name, phone, address, and abbreviation variations, or build a custom library.
Automatically identify and count unique values in your lists to replace, delete, or extract values into new fields.
Support for disparate data sources for record linkage.
Complete set of data cleansing tools.
Affordable package; costs 95% less than comparable solutions.
Fully visual, intuitive interface.
Semantic matching for unstructured data.
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.