Full disclosure, I'm working at eazyBI and support eazyBI reports for Jira.
I'm sorry to hear the the eazyBI interface is challenging for most of your users. I can only agree that a Business Intelligence and analytics tool might be one of the most challenging apps out there. This is mainly because of the underlying complexity of data. Users are required to understand the data they want to analyze, as well as the concept of pivotal tables, dimensions, and metrics – all these concepts are common to all data analytics tools.
Here at eazyBI we are trying to make simple things easy and complex things possible. It is an ongoing process and we rely heavily on your feedback. We deliberately try to hide complex things and reduce the clutter to make the interface more intuitive for end users.
The good thing is that once users understand these basic concepts and know some MDX, they can build virtually any custom report with eazyBI.
Currently we are working on the report builder interface, to make it more user friendly and intuitive for new users. Many user interface updates will be gradually released in upcoming months. Stay tuned!
A few comments on the facts listed above:
The eazyBI installation process is relatively simple and straightforward.
There are many additional configuration options to fine-tune eazyBI for your needs, but most are optional.
eazyBI does not require users to create and configure multi-dimensional cubes or understand them. eazyBI supports one universal cube relating all the Jira data and users can drag and drop dimensions and measures to create reports with a few clicks. Users should grasp concepts of pivot tables, dimension, and measures – this is required for any analytics tool.
The upcoming eazyBI 5.0 is powered by the latest Mondrian 8 engine.
We support Analytics and BI for Jira app.
Compared to eazyBI:
IMHO, it worths having a look. This is a short video explaining how it works.
EazyBI is more flexible and powerful, but much more difficult too. On the other hand, our app is awesomely easy in comparison and do the job for a lot of daily basis analytics.
Furthermore, we also support a complete suite for reporting beyond complex BI tools.
Looking forward to your feedback here. It would be very interesting getting the user's point of view instead of a vendor's point of view :).
This number is the default Jira limit for all the users to run JQL queries. Jira administrators can modify it.
We wanted that the app respects the Jira's default behavior. Fortunately, there is an easy workaround: write a simple JQL returning few issues (<1000), export to the Analitycs console.
From the next page, replace the jql parameter from the browser URL by your JQL returning more than 1000 issues.
I've documented it here.
Hi @Pablo Beltran !
At https://marketplace.atlassian.com/apps/1215775/easy-bi-analytics-for-jql?hosting=server&tab=overview the following is announced:
"IMPORTANT: This app will be archived on October 18th 2019."
Will this app be replaced with a payment one? How much will it cost then? (e.g. 100 users)
If not, could you explain us anything about this archivement?
Essentially because of the poor acceptance of the app. Despite that it's really friendly and powerful it looks like the users are massively given it their backs.
As we are a small company that already offer other powerful reporting solutions we prefer to put the focus on the popular ones (SQL+JQL Driver, Eclipse BIRT, ...)
Currently, this is three-in-one:
And we plan to support XMLA natively in our SQL+JQL Driver (without Mondrian)
Which will be easier to maintain, more flexible and powerful.
Actually there is a simple workaround to make custom analytics with SQL+JQL. You can do the same things (and much more) than with the discontinued Analytics and BI for Jira app.
Simply, built your queries and export them as web sources as described here. Now you can use all the power of analytics from MS Excel (Pivot tables, charts, etc) and even from MS Power BI desktop to work with Jira data.
Learn how to use two new reports for next-gen projects in Jira Cloud: Cumulative flow diagram and Sprint burndown chart. Ivan Teong, Product Manager, Jira Software, demos the Cumulative ...
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