Solutions Reference: SOL-003
Extract
Bring useful web and Open Data together with company information for broader business use.
What it does
Extract brings relevant information from the web, Open Data and other sources into a business’s data environment. Semantic rules help identify and structure useful material so it can be combined with the organization’s existing data; the process also checks the data’s licence for use.
Use cases
Marketing teams can use information about consumers, prices, products and companies. Sales teams can look at competitors and markets, while production teams can work with data about consumption and traffic. The same approach can help organizations find Open Data that is relevant to their needs.
Benefits
A broader set of useful information can support business analysis and new uses of data. Finding relevant Open Data can reduce the cost of acquiring equivalent datasets from specialist providers, while structured information can also support publishing or sharing data with others.
How it works
Linked-data standards give information consistent meaning and support machine-readable Open Data. Provenance records where each extracted data point came from; semantic validation checks its meaning and consistency; and machine-learning techniques can help structure unstructured material. Teams can repeat and refresh the extraction, then combine new information with data already available to the business.