Since the launch of data studio in 2017, it has become one of the most used features on Almabase. It is the one-stop place for you as admins to work with your most up-to-date alumni data. It makes it incredibly simple for you to segment your alumni based on any data point that you have on them. You can even export this information, send them an email or perform other actions on the records.
But we received a lot of feedback from all of you, regarding a few functions that need to be improved. Taking your word into account, we made several key upgrades to the data studio.
Here are some of them:
Let’s say you’re organizing an event in Boston and want to invite everyone in the 50-mile radius to that event, how would you invite all of them? Earlier, you used to have to find all those cities and enter them manually into the city filter. Now you can start with a city or even a zip code and then choose a radius around it.
Data studio will then show you all the alumni that live in the area defined. You can then create an email group and you’re all set! As always, if another alum moves into the area, they are automatically added to that group. Look for the “AREA” filter on your data studio.
We’ve made it easier for you to take single click actions on various features of the platform. You will now be taken to the data studio with the appropriate data and actions pre-loaded for you to confirm.
For instance, if you are on the directory and want to pull a list of everyone you’re currently seeing, you can now do that with a single click.
Birthdays and other new filters
Birthdays are a great occasion for you to engage with your alumni and we’ve introduced a filter to make it easier for you to keep track of upcoming birthdays. Using the data studio birthday filter you can now see which alumni are celebrating birthdays today, this week or even this month.
Last but not the least, we’ve done a complete design refresh to make the data studio more user-friendly and also respond to user actions much faster. You will notice a visible difference in the speed while working on the data studio.