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