March 01, 2022 by The Avni Team
TLDR : In February we worked on some amazing features. Rule Designer and Canned Analytics eliminate the last of the hurdles in making Avni self-serviceable, at least and definitely for the small projects and survey type usecases. Images and other media will now be accessible from Reports in a secure manner. Fixing a leakage on quality when data uploaded via CSV. They now pass through a net of validations.
The Feb release is now out!! 🎉
Read on to know more.
Below are some examples
Skip logic rule
Visit scheduling rule
Analytics from data captured via Avni can be derived by connecting any BI tool e.g. Metabase to either Avni database or APIs. However, this has certain limitations Setting up analytics using these BI tool requirers the know-how of these tools. Many organisations using Avni don't have these expertise and they need to depend upon software partners to set this up for them. This has time and cost implications.
So introducing Avni canned reports where it understands the domain and smartly gives out-of the box insights which can be a good starter for organisations to start reviewing and making sense of their data without any extra cost. It also gives ability to explore data based on dimensions and pre-defined filters required in the domain.
Avni Canned Analytics
Data in Avni is stored in two different data sources. The first is the postgres database, which are easily connected to the reporting servers that are being used by hosting. The second is an S3 database where media is stored.
In reporting tools, there is a mechanism to show data by connecting to a data source. However, S3 access is usually not provided. In case you need to expose media through reports, here is what you need to do.
Doing this will send the user to app.avniproject.org, which will redirect the user to the corresponding media once they have authenticated themselves on avniproject.
CSV upload now supports all the form validations and runs decision and visit scheduling rules for the form. Which means that data upload now behaves similar to data entry using web or mobile client. CSV upload now works as follows