Alternative data is data that is drawn from non-traditional sources and allows for additional insights when combined with traditional data sources. Examples of alternative data include web scraped data, satellite data, credit card transactions, product reviews, and geolocation data. Alternative data is often unstructured, making it difficult to analyze at scale without specialized tools.
Trifacta Makes it Easier to Use Alternative Data
Trifacta helps organizations make better use of alternative data by simplifying the process of preparing unstructured data for analytics and machine learning. For example, Trifacta can automatically detect and apply format to unstructured and semistructured data sets, dramatically reducing the time required to create data pipelines for analytics or machine learning.