Data Preparation Solutions

Data preparation (also known as Data Preprocessing) is a labor intensive and crucial activity that converts raw and messy data into a clean and consistent output. Sometimes more than 80 percent of a data scientist’s time can be spent on preparing the data. In fact it is one of the most difficult steps in any Machine Learning project. The process includes searching, collecting, cleaning, transforming, labeling, annotating and organizing data.

Having access to qualified contributors globally enables us to offer your Machine Learning teams a full range of Data Preparation Solutions such as Data Collection, Data Annotation, Data Validation, and Linguistic Data Services. To serve you better, we created DataPreps as a distinctive Platform to cover all of our Data Preparation needs. To learn more about our Data Preparation Services and/or to request a free quote on your Data Preparation projects, please visit our DataPreps Website (click here).