QUESTIONS AND SOLUTIONS MARKED A+
✔✔CustomOnly - ✔✔Uses filtering criteria from advanced and Boolean operators.
✔✔List - ✔✔Usually associated with fields used for coding documents. Conditions vary
by the type and purpose of the field associated with it.
✔✔Multi list - ✔✔Uses multiple conditions from a drop-down menu. You can connect
the conditions with the OR or AND operator.
✔✔Pop-up pickers - ✔✔Contains values for multiple or single choice fields, as well as
multiple or single choice objects.
✔✔Textbox - ✔✔Used to search on specific terms, numbers, and dates. You can enter
multiple terms connected by any of the following operators:
AND
OR
BETWEEN
= (equal)
>= (greater than or equal to)
<= (less than or equal to)
% (to filter for NOT null)
✔✔Conditions tab - ✔✔In the Conditions tab you determine which items you want your
view to return. A field condition can contain up to 4,000 characters.
✔✔Artifact ID - ✔✔Relativity's unique identifier for all database objects.
✔✔Sampling - ✔✔With sampling you can generate a randomized subset of items from a
larger population. You can use that randomized sample to QC the list items or to identify
characteristics of the whole population. To execute sampling, Relativity uses a
randomization algorithm which guarantees an efficient and unbiased result.
You can enable any object to use Relativity's sampling. By default, sampling is enabled
on the Document object.
✔✔What is a fixed size sample in generating a sample? - ✔✔Creates a randomized
sample set of a specific number of items from the entire item list.
✔✔What is a percentage sample in generating a sample? - ✔✔Creates a randomized
sample set of a specific percentage of items from the entire item list.
✔✔What is a statistical sample in generating a sample? - ✔✔Creates a randomized
sample set of a size based on statistical sample calculations to reflect the entire data
set accurately.
, ✔✔Creating a statistical sample set - ✔✔Relativity recommends that you only use the
statistical sampling type on data sets that are large enough to return a reliable statistical
sample. If a data set contains fewer than 300 items, you may want to consider using a
different sampling type.
✔✔Statistical sample - ✔✔Select 99%, 95%, or 90% for the Confidence Level field.
✔✔Margin of Error field - ✔✔This is the room for error you want to allow in your sample
results when you select a sampling type of statistical. Selecting a lower margin of error
requires a larger sample size.
✔✔Pivot - ✔✔Using Pivot, you can quickly analyze your workspace data to identify
trends or patterns. You can use Pivot to summarize data in tables or charts, simplifying
the analysis process. You can also create ad hoc Pivot reports using the options
available on the Pivot menu.
✔✔Pivot Report - ✔✔To generate a Pivot report, you specify a field for grouping data
totals and further characterize this data by selecting a secondary field. The Pivot grid
displays your results in a table format that you can customize for more convenient
viewing.
Relativity does not support Pivot On or Group By for Long Text fields due to the
performance impact. However, you can create a Pivot on any Relativity field that is
enabled for Group By or Pivot On even if that field doesn't appear in the current view.
✔✔Communication Analysis - ✔✔With the Communication Analysis widget, you can
visualize communication frequencies, patterns, and networks between the entities
linked to the documents in the view. You can add this widget to your dashboard after
running name normalization.
✔✔Entities that a user does not have permission to view are omitted from the
Communication Analysis visualization. - ✔✔True
✔✔Name normalization - ✔✔Name normalization analyzes email document headers to
identify all aliases, such as proper names, email addresses, and more, and the entities,
such as the person, distribution group, and others, those aliases belong to. Name
normalization automatically merges entities with those created by Legal Hold,
Processing, or Case Dynamics.
✔✔Nodes - ✔✔A node is a colored circled that represents each entity. Communications
analysis groups nodes together that are in frequent communication with each other. It
also assigns a color to each group of nodes. Nodes are sized based on the number of
times the entity appears in the Entity From and Entity Recipient document fields, which
represents the total amount of communications the entity was involved in. By looking at