Enabling Research and Generating Insights From a Large Corpus of Premium News Content at a Greater Scale with Knowledge Graphs

Recognizing the need to showcase the depth and breadth of the DNA dataset, Dow Jones wanted a solution that could process large volumes of historical and streaming business news documents and find hidden insights by transforming text into named entities ( i.e. people, locations, money and events) and the relationships among them. In fact, they found that these articles could serve as data points that can inform evolving industry demand in portfolio management, sales, business development, risk target identification and aggregation of deal opportunities, among others.

Solution

Quantiphi processed their terabyte-scale, unstructured data corpus and developed a Knowledge Graph framework to help data scientists and developers discover insights related to network effects and business impacts of rare global events, such as a major natural disaster. Customers can also visualize other key events, hidden relationships, or unseen opportunities that could impact their business. The tool leverages Google Cloud Platform, the Dow Jones DNA – Data, News & Analytics service, TensorFlow, and a graph database platform to perform text mining, machine learning, data integration, and enterprise advanced analytics.

Results

Time saved in manual text processing
Estimated impact of rare events
Intuitive visuals from text corpus
Defined complex network efforts to uncover hidden relationships and insights