Data Cleansing For Machine Learning

It is not unusual for data scientists to spend 80-90% of their time on data preparation prior to running their machine learning algorithms. What if you can outsource data cleansing and data preparation so you can focus what matters for your business?

What data preparation services do we offer?

Data Standardization

Data standardization is the process of making sure all your data has a common format that allows you to run large scale analytics. Some examples of data standardization ensures dates are formatted the same across multiple fields, currencies are aligned across your global database and so on. You can also apply a normalized scaling to different number fields to make sure they do not skew your models. 

Data Standardization

Data standardization is the process of making sure all your data has a common format that allows you to run large scale analytics. Some examples of data standardization ensures dates are formatted the same across multiple fields, currencies are aligned across your global database and so on. You can also apply a normalized scaling to different number fields to make sure they do not skew your models. 

Data Deduplication

It is common to have duplicates in your system which cannot be automatically de-duped. We can easily de-dupe your data utilizing custom business rules in order to uncover all possible duplicates, which maybe missed using typical practices.

Just a Few of Our Clients

Menu