WrangleWorks offers machine learning-based data wrangling for automated data cleaning and enrichment.
WrangleWorks solutions clean textual data using a powerful type of machine learning — natural language processing (NLP). NLP models are state-of-the-art for cleaning and enriching product data and customer information. WrangleWorks can deploy automated data wrangling models and data pipelines in the cloud or on premises in days. Say goodbye to dirty data work.
Extract & Enrich
Most data is jumbled up and full of inconsistencies. What’s not there — missing data — is also a big problem. WrangleWorks can extract and standardize information from messy, disparate sources. Once standardized, we enrich data by blending it with other reference sources.
Categorize & Match
Categorical data (think product hierarchies or customer segments) are very valuable, but can be the dirtiest of all. WrangleWorks NLP models can assign categories as accurately as domain experts, with just the click of a button. Likewise, matching entities to remove dupes or create cross-references is a breeze with similarity measures.
Automate & Orchestrate
Deploying WrangleWorks is easy with our APIs. They can retrieve dirty and return cleaned data into any process or system, including a spreadsheet. Eliminating manual data work improves quality, speeds cycle time, increases throughput, and makes everyone happy.
Digital requires data work that’s fast, scalable, and automated: Data Wrangling as a Service