Data with Relationships Yields Insights Before Analytics

Data's utility is not rooted in amassing the largest quantities of data; it's predicated on understanding how data relates–both to itself and to business objectives–in a timeframe that fits the speed of business. Relationships between data can be formed by linking data based on meaningful statements within a Semantic Graph or triplestore database. These relationships provide a form of machine intelligence that is essential to expanding the understanding of how data relates to each other. Based on these data relationships, the reasoning in the triplestores will instantly conclude that Patient X is at risk of a drug interaction. Such an example illustrates the instantaneous usefulness of relationships between data.