Smart Data transforms the way data is discovered, integrated, searched, visualized, and analyzed. Unlike regular data, Smart Data is:
- More flexible — a smart data model accommodates new data as needed
- More understandable — data is represented using the same terminology and relationships that subject matter experts use to think about their domains
- More universal — data from very diverse sources with different (or no!) data model can be mapped onto a smart data model without losing any of the meaning of the original data
- More repurposable — smart data holds its meaning and so can be reused for many use cases, including ones not originally anticipated
Smart Data is made possible by semantic technology. To learn more about semantic technology, check out Semantic University.
To read more about how companies are using Smart Data check out Jay Hooley's indepth online discussion in the Wall Street Journal. Jay is Chairman, president and chief executive of State Street Corp and one of the The Wall Street Journals' exclusive group of industry and thought leaders.