Nalytics Release

Nalytics Release 

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NALYTICS V1.270

SINGLE INSTANCE REDACTION

Nalytics now supports redaction of a single instance of a term.

Users can now choose from three redact/unredact options-

  1. Redact/unredact the term across all documents in the data set.
  2. Redact/unredact all instances of a term in the current document.
  3. Redact/unredact only the selected instance of a term.

This latest addition to the redaction suite further strengthens an already incredibly valuable set of redaction tools.

CHOOSE COLOUR OF REDACTION BLOCK

Users are now able to choose either black or white as the colour for the redaction block. This caters for organisations who prefer to simply ‘blank out’ the terms they redact rather than replace them with a black box.

DUPLICATES REPORT

Organisations can now choose to have enabled in their environment; the production of a duplicates report each time a data set is built. This means that any time it is important to understand when and where duplicate files exist, the information is readily available. This leads to greater process efficiency, e.g., in situations where files in a data set have to be reviewed.

SUPPORT OF PDF PORTFOLIO FILES

Nalytics now supports PDF Portfolio files – where one or more files are embedded within a single PDF. When added to a dataset, the files that are embedded in the portfolio are unpacked and shown individually.

RTF FILE REDACTION

Nalytics has always been able to parse and search RTF files. The latest release adds to this by supporting the production of redacted output from RTF files.

EXCLUSION OF EMAIL DOMAINS

Nalytics SARs has always offered a means of excluding from results, emails from specific email addresses. This capability has now been expanded to support the exclusion of emails from specific domains, e.g., @hotmail.com, thus speeding up this part of the SAR definition process.

INFO BUTTON NOW AVAILABLE IN MANAGE DATA IN SHELL PRODUCTS

Manage Data in ‘shell’ products such as Nalytics SARs, now has an ‘Info’ button which will display information about the selected dataset. Information such as the number and types of files, as well as sizing statistics are displayed, enabling users to quickly assimilate this knowledge.

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