This subset of AI has been selectively deployed within our data mining process of semi-structured and structured data. Historically time consuming processes have been assigned to trained Bots to successfully collect data from source, process it and generate it for analytical consumption.
Our data is structured optimally for visual extraction and display of relationships/interactions that connect them. Our visually appealing graphic representation provides users the ability to assess qualitative networks by varying the nodes of data having a bearing on the subject matter of interest.
Our scripts have resulted in the digitization of numerous official documents previously available in pdf format; historically uneditable and inefficient in their use. The capability has resulted in tangible benefits to our subscribing clients quantified in measures of time and money. Transformed data has a resting place in our growing digital library, a reliable and convenient point of reference for users of select data.
The volume, velocity, variety and variability of data falling within the realm of our area of focus calls for the optimisation of mined data and consistent storage of relevant data for decision-making by our clients. The organization, linking and relationship of sourced data through our deployed structure results in the rendition of value to the analyst users of our data. In short, our nodal approach to Big Data helps to find relationships and make sense of connected data more easily.
