I just love it when we have a new release of Nalytics. We have very carefully worked out what we should include and now our customers get to see and benefit from the finished result. Of course, the contents of new releases do not always come as a complete surprise to our customers because often they have had a hand in coming up with the original requirements. Such is the symbiotic relationship between Nalytics and our users.


So what goodies have we included in Nalytics 1.9?...


Email Enhancements

Nalytics is an invaluable tool where finding information in emails and their attachments is concerned. It is just so easy to find what you are looking for in both emails and attachments. In this release, we have added a new document type of email. This means that you can filter a data set to show only emails, excluding all other document types. This is useful if you are interested in searching email text rather than that of attachments or indeed other types of data contained in your data sets.



Surfacing Personal Data – supporting GDPR

If your organisation holds or processes personal data, the impending General Data Protection Regulation (GDPR) will likely be weighing heavy on your mind. One of the challenges you face is understanding what personal data is being held by your organisation and where it is. This release of Nalytics will help greatly this task. We have introduced a capability that automatically searches through your data and identifies key personal information such as email addresses, national insurance numbers, postcodes, credit card numbers and telephone numbers. This data is made available to the user and can be used to pinpoint the documents and the location within the documents where the data occurs.


Multi-term Synonym / Hyponym Expansion

Previous releases of Nalytics have an optional capability that expands the bounds of a single term search to include synonyms and hyponyms of the term as well. This has been enhanced to support multi-term searches. This can be a really useful feature when you are interested in finding general meaning within your data rather than specific words. For example, a search for concealed weapon would also find hidden, obscured, knife, gun, armament.


I hope that has whetted your appetite for 1.9. I’ll talk to you next time about 1.10 – it’s already looking great, of that you can be sure.