OpenDataSoft’s mission is about making it extremely easy for non-technical users to publish structured data through interactive data visualizations and APIs. We want to give private companies, as well as public organizations of any size, the keys to master their transformation as an organization into an open database. Here, “open” does not necessarily mean free. It means easier sharing and reuse of traditionally hidden, unexploited data.
As an OpenDataSoft customer, once your data have been published on the platform, you may promote it on the Web through several means:
- A ready-to-use simple data exploration portal, which makes it possible to present and promote data through interactive data visualizations (maps, charts, widget mashups)
- A rich set of APIs, which can easily be used by third-party developers to integrate these data into existing or new applications.
Example of a web application using published OpenDataSoft datasets
Now that your data have been opened, what’s next?…
Publishing data is more than giving something to your users. You also need to listen to what they have to say.
To do so, you can use the social features of the platform to directly engage with your users. But what if you could also see live how your data are being used so that you could easily understand how your users are leveraging it?
Today’s post introduces a major feature of the OpenDataSoft platform: the ability for OpenDataSoft administrators to understand in real-time how their datasets are used.
Thanks to its real-time processing stack, OpenDataSoft automatically processes incoming API calls and makes them available through a dedicated dataset. This dataset can be explored using the well-known OpenDataSoft data exploration console. And the most important KPIs are exposed through an easy-to-read dashboard.
Available parameters include:
- user name (built as a facet, it enables the extraction of the top user list of a domain or of a dataset)
- client IP (to easily locate on a map where queries come from)
- full-text query
- fields used in the query (in order to identify which fields are the most imported to the API users).
And since these monitoring datasets are built as any other dataset, you may even integrate them into their own dedicated monitoring applications.
We hope this feature will help OpenDataSoft customers engage better with their users and build innovative ecosystems!