From Data to Knowledge Analytics:Capabilities and Limitations

Data analytics is playing a central role in deriving useful information from large amounts of data available online in a variety of domains and applications. Analytics enploys a wide array of methods ranging from classical statistical techniques to those exploiting the visual and cognitive capabiUties of human users. In spite of all its capabilities, analytics at present seems to suffer from significant limitations in deahng with unstructured data and knowledge. This article explores the Umitations and defines key requirements to be met by fiiture developments in analytics. The article concludes with a sketch of tme knowledge analytics which is capable of delivering insights from knowledge structures, not just tabular data.