Welcome new Date Filters!
Ladies and Gentlemen let me introduce: Date Filters! Yes, that is right. We heard from you over and over again how great it would be to be able to filter dates on GoodData dashboards. And not just with the standard drop down filters but with actual date filters that would deal with the specifics and uniqueness of dates.
Just think about the following use case. You want to see the breakdown of i.e. your sales pipeline over time and you have a bunch of reports on your dashboard – one broken down by stages, the other one by sales reps, the third one by product. In the past you had to create different tabs on your dashboard for different time periods – e.g. last quarter, last four quarters, last 8 quarters, etc.
Now, you can very easily add a date filter, specify what date dimension you want to filter and the filter will be automatically applied to all your reports on the specific dashboard tab. A nice new drop down will be added to the upper right-hand corner of the dashboard tab and you will be able to use nice visual slider to filter just the periods you are interested in. We also added the flexibility for you to define whether the date filter will be in the granularity of days/weeks/months/quarters or years.
Of course if you have some reports on the dashboard that you don’t want the filter be applied to, you can exclude them.
We hope that this new feature will satisfy most of your date filtering needs and we would love to hear your feedback on this new functionality. We are always here to listen and I can assure you that user feedback is the most important input into our product roadmap.
Last but not least, I would like to thank to the whole GoodData team and our GoodData evangelists who helped us with usability testing and provided invaluable feedback over the past couple of months. Thank you!
Now, watch the video below to learn more about how the new date filters work or just login to GoodData and give it a try! You should also register for a 20-minute live demonstration on Wed, Jun 22, 2011 at 10:00 AM PDT.