Our new analytics engine will turbo-charge your data analysis, making it possible to analyze exponentially larger datasets in LibAnalytics. What does that mean exactly? With the previous engine, sites with especially large numbers of individual records in a single dataset (in the neighborhood of 50,000 records) could experience lags and timeouts while generating reports. Fixing this issue required a major under the hood rewrite of how we store and return data. We’re happy to report that the new engine is ready for prime-time – we’ve tested it with the largest datasets we could find (more than 700,000 records!) and it performs admirably, without lags or dreaded timeouts.
Thanks to our rewritten analytics engine, we’ve also added a couple of frequently-requested reporting features:
Expanded Field Analysis – Run Analysis on Numeric and Text fields! To see this in action, head to a dataset and click View/Analyze Data > Field Analysis > Analyze All (Numeric or Text) Fields.
Frequency Analysis – The new Field Analysis options include Frequency Analysis – quickly view how frequently each numeric and text entry occurred. Just select Analyze All -> Numeric / Text fields.
Expanded Cross-tab Reports – We’ve added Numeric and Text fields to cross-tab analysis! Head to a dataset that contains free text and/or numeric fields and click View/analyze Data > Cross Tab Analysis.
“Inactive” Account Level – When a user leaves your institution, instead of reassigning all their data entries to someone else, just change their account status to Inactive. This will disable their account from logging in and recording new entries, while preserving the records they’ve created.
As always, a huge shout-out goes out to everyone who shared suggestions and feature requests – we love hearing from you!