Spotless Version 16 Improved New Release

Sign from a ski slope to illustrate the new improved Spotless version 16

A sign taken from a ski slope in the Alps illustrates the new and improved Spotless version 16 release.

We are delighted to announce the release of the new improved version 16 of Spotless Data's solution to all your rogue data issues through a data cleaning API easily accessible through your web browser.

There are four new areas where we have improved our machine learning filters which ensure the data integration of all your data.

  • Now support epoch times in session rules and date validation Session rules are for when two or more date fields with the same format are present in a field while data validation checks and makes sure that your data are always well-formatted and both these now support epoch times, which makes for greater accuracy for counting seconds in time-and-date data.
  • Higher limits on the number of records for premium customersWe currently support up to 1 million records for all customers in a single job. If you require more, then please speak to one of our team by pressing on the white square icon with a smile within a blue circle as we can now support even higher limits.
  • Spotless can now fix up incorrect decimal places on numbers Number validation is one of the most important features of our data integration solution because these are recurrent problems in any data and cause havoc when they are wrong and we can now fix inaccuracies in decimal places as well, a new and welcome addition. 
  • Other bug fixes and minor enhancements These ensure that Spotless easy-to-use API remains the best data quality solution on the market.

 

Here is a quick link to our FAQ. You can also check out our range of Subscription Packages and Pricing. Please do sign up for our service using your email address, Facebook, Google or GitHub accounts. You can also view our videos on data cleaning an EPG file and data cleaning a genre column which explain how to use our API.

 

If your data quality is an issue or you know that you have known sources of dirty data but your files are just too big, and the problems too numerous to be able to fix manually please do log in and try now