analysekundes

Analysekundes is a proposed metric used in data analysis and related fields to quantify the duration of analytical tasks. The term blends the German Analyse and Sekunde, signaling a time-based measure tied to analytical work rather than raw computational speed. In practice, one analysekunde represents the time required for a trained analyst to complete a predefined canonical analysis task on a fixed dataset, using a specified set of tools, under controlled conditions. Standards specify the task, dataset size, tool versions, and environment. Because of these definitions, the value of analysekundes can vary across benchmarks, but it enables comparisons focused on user effort and workflow efficiency rather than hardware throughput.

Analysts may report analysekundes per task or per stage, such as data preparation, model fitting, or result interpretation. In benchmarking, it complements latency and throughput metrics by capturing cognitive and operational overhead. The metric is intended to reflect the human-centric aspect of analytics, including steps that are not purely computational.

Limitations include variability in analyst skill, training, and fatigue; influence of user interface design; and the challenge of achieving cross-domain comparability. As a relatively new or informal metric, analysekundes are often described with caveats and rely on transparent benchmark protocols. The term remains most common in experimental studies or proposals and may evolve as consensus methods emerge.

See also: latency, benchmarking, time-to-insight, human-centered analytics.