First Page
98
Last Page
141
Abstract
In this article, I present some examples of opportunities for agencies to depart from the inscribed method. These examples of display “de-scribe” administrative law data, making the data more visually active, multi-variate—with additional context and greater density. In Part II of this article, I review examples of the current state of data display for administrative law agencies and show how the inscribed method limits complex displays of data. In Part III, I introduce the concept of the sparkline, which is the fundamental unit of visual data display in the big data era that appears in organizational dashboards and analytics deployments. I discuss how sparklines can apply to the display of legal administration agency data and, when applied, encourage agencies to establish performance metrics and display data that cut across a greater number of dimensions for their activities. This application reflects an agency transition to the beginning of an analytics mindset. In Part IV, I address how an agency decision to implement formal analytics software and platform tools for its data fits within the broader context of business intelligence and processes. In Part V, I discuss how the principles of complex data display give rise to dashboards and analytics modules that track, display, and operationalize case data. In this regard, I will share some lessons learned through the experience of establishing an analytics capability at the National Appeals Division (NAD) at the United States Department of Agriculture (USDA).
Recommended Citation
Steven Placek,
De-Scribing Administrative Law Case Data:
From Sparklines to Dashboards to Analytics,
36 J. Nat’l Ass’n Admin. L. Judiciary
98
(2016)
Available at:
https://digitalcommons.pepperdine.edu/naalj/vol36/iss1/3
