Thousands of companies around the globe are producing a humongous amount of structured, semistructured and unstructured data from disparate data sources every day and to accelerate analytics for pursuing actionable insights on the data could be a very daunting and painful task. To facilitate large and corporate data collections, dibuco GmbH [Gmb18] is developing an information retrieval middleware solution with the product named BigData4Biz to serve the purpose of automated consolidation of Big Data volumes. A Stateful Query API has been developed which has laid the foundation and platform to perform exploration on the discovered information. The major objective of the thesis is to provide a face to the data model of the Query API. To elaborate further, the aim is to give novel data presentation ideas of the formulated use cases of the Query API. These use cases range from traditional search, providing end-user ways of selecting relevant information and identifying similar documentation to providing context information for business processes. Also, the thesis analyzes and formulates the different interaction and exploration ideas in the presentation by constructing graphical sketches and mock-ups required for each use case to satisfy the user’s need. The prototypical development of the selected use cases is also a part of the thesis which gives a realistic view of the conceptual work by playing around with the sets of data from the Query API and demonstrating the use case and its accompanying explorations and interactions.