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By design, distributed ledger technologies persist low-level data which makesconducting complex business analysis of the recorded operations challenging.Existing blockchain visualization and analytics tools such as block explorerstend to rely on this low-level data and complex interfacing to provide enrichedlevel of analytics. The ability to derive richer analytics could be improvedthrough the availability of a higher level abstraction of the data. Thisarticle proposes an abstraction layer architecture that enables the design ofhigh-level analytics of distributed ledger systems and the decentralizedapplications that run on top. Based on the analysis of existing initiatives andidentification of the relevant user requirements, this work aims to establishkey insights and specifications to improve the auditability and intuitivenessof distributed ledger systems by leveraging the development of future userinterfaces. To illustrate the benefits offered by the proposed abstractionlayer architecture, a regulated sector use case is explored.

Abstracting data in distributed ledger systems for higher level analytics and visualizations