Introduction
Technology is used to support investigations and review projects
in many ways, including saving time and money through data
reduction. While basic duplicate removal through hash value
comparison is well accepted, it has limitations that powerful tools
and creative workflows can overcome. Here is an overview of some of
those techniques.
Data reduction relevance
Before debating the pros and cons of the various data reduction
approaches, let's first consider why we are doing this. A
larger volume of data requires more storage, more powerful
hardware, more data preparation time, and more review time, with
the risk of missing relevant information because it is obscured by
background noise. Time is money, and therefore more data has a
double impact for costs in terms of hardware and both personnel and
machine processing time.
