The DataLens™ System uses patented technology to understand product data at the semantic level, which enables our highly scalable Data Service Applications to rapidly assimilate, transform, and restructure product information throughout the enterprise as needed — on demand.
Browse the following real-world examples, and see 'Before and After' snapshots of complex product data that has been transformed by a single pass through our DataLens System.
As you review these examples, ask yourself -
How you would perform these transformations without the aid of the DataLens System?
How much effort and expense would that method require?
Would it produce a consistant, high quality result?
Would it be a suitable solution you could rely on for mission-critical business processes?
Before and After Example: Office Supply - Binders
DataLens System standardizes descriptions and extracts attributes from complex non-standard descriptions.
(Click graphic for full page example.)
Before and After Example: Consumer Goods - Digital Cameras
DataLens System extracted over 50 attributes from free-form text descriptions collected from vendor websites.
(Click graphic for full page example.)
Before and After Example: Industrial Supply - Motors
DataLens System takes cryptic, highly abbreviated text and standardizes it, classifies it, extracts attributes and translates it into foreign languages.
(Click graphic for full page example.)
Before and After Example: Electronic Components - Resistors
DataLens System standardizes, classifies, translates and extracts attributes from cryptic, highly abbreviated text.
(Click graphic for full page example.)
Before and After Example: Industrial Supply - Fasteners
DataLens System classifies, standardizes and extracts attributes from Intelligent Part Numbers (IPNs).
(Click graphic for full page example.)
Before and After Example: Free Form Text: Land Title Documents
DataLens System extracts critical information from unstructured, free-form text documents (Word, etc.)
(Click graphic for full page example.)
