Domain and Product Research

Text-based data is ubiquitous, and massive volumes are created continuously. Using the proper tools and expertise, the contents inform decisions and provide competitive advantages.

Extracting value is tricky, however, since language is nuanced and complex. Languages differ grammatically, and words have multiple meanings. Human cognitive processes assimilate these complexities; a process we take for granted. Computers, on the other hand, aren’t that smart and need explicit training for how to communicate.

Statement
  • "...we ducked the branches over the track - too close!
  • "... the roasted duck was tasty, but tepid ..."
  • "... they were delighted by Daffy/Donald Duck's antics ..."
  • "... feeding the ducks was a fun afternoon break ..."
  • "... the ducks flew in, gracefully landing ..."
  • "... we ducked into shops, avoiding the rain ..."
  • "... they played Duck Duck Goose in the afternoon ..."
  • "... the batter ducked the high inside pitch ..."
Category
  • [ coaster ride ]
  • [ restaurant ]
  • [ character ]
  • [ location ]
  • [ side trip ]
  • [ weather ]
  • [ play ]
  • [ sports ]

Consider these statements pulled from travel review website data. Each contains variants of “duck”:

This application is a software development environment. It builds analytical models, a form of computer code, which teaches computers how to review massive volumes of text data and separate the wheat from the chaff based on context. Businesses obtain value from these models by analyzing the data using other analysis techniques.

Organizations in domains such as Business Intelligence, Legal, Medical, Energy, Consumer Electronics, Automotive, etc., apply this technology daily to maintain a competitive advantage.

Product Application and Niche

Businesses contain multiple value chains which contribute to larger goals. This product produces software code which supplements these goals.

The use of the product was not industry specific. Each of the businesses researched used the product differently to support their specific goals. Examples include:

  • Providing business intelligence about industry events;
  • Identifying trends of failures, complaints, need for recalls;
  • Scouring legal documents to ease research tasks;
  • Updates from medical journals or research;
  • Tracking upcoming real estate to make offers before competitors.

Related Examples

User Profiles

Although the product was designed for single users, businesses applied the product in teams. This example describes the profiles of each team member and how they contribute to producing value with the product.