Data Wrangling
as a Service

Data work is mission critical, and a big waste of your time.  Did you know that data cleaning and enrichment can now be automated?  Delivered via a SaaS application? Data Wrangling as a Service replaces data work with information on demand.

Automated data wrangling is the only scalable solution to dirty data. The question is should you do it yourself?

As with many other business activities, data work can be automated. But unlike simpler activities, data wrangling requires business knowledge.  That is why legacy manual approaches such as rules-based data cleansing and overseas outsourcing don’t scale.

Automated data wrangling requires a system that understands data the same way people do.  Thus, it is only possible with machine learning models and advanced automation. You could engineer and operate a system like this if your company has lots of extra time and money, but you don’t have to.  Data Wrangling as a Service is like laundry service for your data: send dirty data out, get rich, reliable data back.

Natural Language Processing models & cloud-based automationData Wrangling as a ServiceExtract & CleanStandardize& CategorizeMatch &MapDirty Data inClean, Rich Databack

Industry-specific Data Wrangling as a Service: Distributor Data Solutions