Chock full of useful features, Nalytics v1.13 has now been released.

One of the most noteworthy features to come out of this release has to be the new Nalytics Solution Framework. This framework will be used to support new modular solutions that we’re working on to address specific user needs, making it a bit easier to get from point A to point B when carrying out more complicated search and discovery tasks.

The first of these new modular solutions is the Subject Access Request (SAR) Module, which streamlines the process of preparing subject access request responses and makes it more straightforward for users to search for people and terms across their data. Once relevant data has been identified, Nalytics enables the review, redaction and subsequent disclosure of that information. As part of v1.13 users can produce redacted copies of original Word and PDF files (the ability to produce redacted copies of Emails comes in v1.14 – which is a few short weeks away). We have also added a means of exporting the specific results sentences for each data source to Excel, giving a succinct list of exactly where relevant data is located. Given the time pressure associated with handling subject access requests under GDPR, we’re really excited to roll out this new functionality to our users to help them tackle their SAR challenges more effectively than they would be able to using a manual process.

We have made several changes to the user interface (UI) to improve user experience and make some additional capabilities more readily accessible. When using the word cloud, users can now choose between two content types – choosing whether to cloud the top 50 most frequently occurring words or the top 50 most frequently occurring proper nouns. This simple but useful new feature will come in handy when, for example, you want to understand the ‘key players’ mentioned in a data set. The filters tab now allows users to choose between ‘contains’, ‘begins with’ and ‘equals’ search operators when searching for a filter value, and we’ve integrated a quick reference guide into the product which is available via the Help menu!

Another exciting aspect of this release is the addition of some powerful new enhancers. The Data Point enhancer will surface either values or proper nouns associated with a target word or phrase – for example, to find the number of car parking spaces in each data source within a data set. The Delimiter enhancer surfaces all the data content it finds between two configurable data delimiters. For example, if the user specifies ‘resides at’ and ‘works at’ as the delimiters, Nalytics will find all data content between these terms in each data source within a data set. The Unit of Measure (UOM) enhancer will surface a value associated with a target word/term and unit of measure. For example, if the user specifies ‘floorspace’ as the target and m2 as the unit of measure, the enhancer will find the value (i.e. number of square metres) for each instance of ‘floorspace’ in each data source within a data set. The Relaxed Dictionary enhancer works in a similar way to the standard dictionary enhancer - however, when searching with a multi-word entry, the relaxed enhancer will locate sentences containing each of the defined words irrespective of whether they occur next to one another or not, rather than treating the entry as an exact phrase. For example, if a dictionary contains the term ‘consequential damages’, the relaxed enhancer will look for any sentence where the words ‘consequential’ and ‘damages’ occur, e.g. ‘The damages were consequential’.

So, there we have it. There is no denying it – v1.13 contains a veritable cornucopia of delights for our users to take advantage of.

Till next time…