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Data quality management for standardized data

Ensure data from disparate sources is consistently formatted. Identify errors, outliers, and other data issues with data standardization.

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How our data standardization works

Our data standardization tool will help improve the quality of your data by transforming and standardizing it. Data often flows into organizations from differing sources and in various formats. Our data quality management solution will clean and remove incorrectly formatted data, giving you the results instantly. This tool will give you the opportunity to take this a step further and allow you to edit transformations, manipulate data and make it easier to then profile that data. 

For example, a data standardization solution can format all alphabetical characters in ALL CAPS, standardize Str., Street and St. to ST or remove extraneous characters from phone numbers like parentheses and hyphens.

Transformable

Transform and manipulate data with hundreds of built-in functions.

Customizable

With our data standardization tool, you can customize what is right for your business.

Instant results

After cleansing your data with our standardization solutions, instantly see your results.

Did you know that one of the main causes of delay for data migration projects is a lack of data standardization? 2017 Experian Data Quality Global Data Management Benchmark Report

Create a single customer view

of data management professionals say that a lack of data standardization is the top barrier to gaining a single customer view.

  • Transform and manipulate data with hundreds of built-in functions
  • With our data standardization tool, you can customize what is right for your business
  • After cleansing your data with our standardization solutions, instantly see your results

Profiling

Profile data to highlight statistically unusual values and outliers.

Profile your data

Cleansing

Enrich and improve your data with hundreds of custom cleansing and validation capabilities.

Data cleansing and enrichment

Monitoring

Control your data over time with automatic defect monitoring and resolution.

Data quality monitoring

Data quality management

Quick and easy installation? Minimal user training? Fast and convenient results? You get it all. Plus, you can browse through as many as 2 billion records on screen in seconds.

Improve your data quality

View the full feature set

Why is it in your best interest to invest in data standardization when undergoing a data quality or data management project? Much like how a solid foundation is essential for a strong house, data standardization is necessary to building a strong data management program.

Much like how a solid foundation is essential for a strong house, data standardization is necessary to building a strong data quality management program.

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A data standardization process plays a key role in ensuring that your organization has good data quality practices. It defines rules for how values should appear in your database and helps you quickly identify rule violations, thus establishing a consistent level of quality and consistency across your organization.

No matter where your organization is collecting data from, it is likely that it’s coming into your system in an endless variety of formats. Inconsistent capitalization, punctuation, obscure acronyms, values in the wrong fields or non-alphanumeric characters in places that they shouldn’t be, are just a few examples of challenges organizations can face when trying to leverage their data as a strategic asset. Standardizing data can help eliminate these challenges by organizing and formatting data in a clear, consistent manner.