Furthermore, with a few clicks the user should be able to drill down into each piece of data that
she sees and understand its provenance, which is a key feature to understanding the data. That is, users
need to be able to see not just the results, but also understand why they are seeing those results.
However, raw provenance, particularly regarding the phases in the analytics pipeline, is likely to be too
technical for many users to grasp completely. One alternative is to enable the users to “play” with the
steps in the analysis – make small changes to the pipeline, for example, or modify values for some
parameters. The users can then view the results of these incremental changes. By these means, users
can develop an intuitive feeling for the analysis and also verify that it performs as expected in corner
cases. Accomplishing this requires the system to provide convenient facilities for the user to specify
analyses. Declarative specification, discussed in Sec. 4, is one component of such a system.
Furthermore, with a few clicks the user should be able to drill down into each piece of data thatshe sees and understand its provenance, which is a key feature to understanding the data. That is, usersneed to be able to see not just the results, but also understand why they are seeing those results.However, raw provenance, particularly regarding the phases in the analytics pipeline, is likely to be tootechnical for many users to grasp completely. One alternative is to enable the users to “play” with thesteps in the analysis – make small changes to the pipeline, for example, or modify values for someparameters. The users can then view the results of these incremental changes. By these means, userscan develop an intuitive feeling for the analysis and also verify that it performs as expected in cornercases. Accomplishing this requires the system to provide convenient facilities for the user to specifyanalyses. Declarative specification, discussed in Sec. 4, is one component of such a system.
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