  At the heart of experimental high energy physics (HEP) is the development of
facilities and instrumentation that provide sensitivity to new phenomena. Our
understanding of nature at its most fundamental level is advanced through the
analysis and interpretation of data from sophisticated detectors in HEP
experiments. The goal of data analysis systems is to realize the maximum
possible scientific potential of the data within the constraints of computing
and human resources in the least time. To achieve this goal, future analysis
systems should empower physicists to access the data with a high level of
interactivity, reproducibility and throughput capability. As part of the HEP
Software Foundation Community White Paper process, a working group on Data
Analysis and Interpretation was formed to assess the challenges and
opportunities in HEP data analysis and develop a roadmap for activities in this
area over the next decade. In this report, the key findings and recommendations
of the Data Analysis and Interpretation Working Group are presented.
