It has taken us 18 months, but Version 10.0 has been released.
Why so long? As we embarked into the details of our specific strategies, it became apparent that (a) we had to "fix" some things in our architecture, and (b) we had a much steeper curve of implementation than we ever expected.
But we were determined to finish what we started. All we want, is to make it easier for users to get answers to their business questions without hiring a rocket scientist or spending frustrating weeks trying to reverse engineer a raw connector - which doesn't even have a direct connection to QuickBooks (everybody is bound by the Intuit SDK).
This blog gives you a heads up about the key features of this version, as well as some specific details so you can plan for an upgrade or get more information before a first time subscription purchase. You will also find links to Version 10 related documents which we have already posted.
Before we get to the feature sampling, we want to make it clear that there are minimal changes - if any - to any current implementations. Upgrades should be mostly seamless.
Here are some highlights:
You can control the range of data you pull in from QuickBooks.
More options for default "As Of" dates for A/R and A/P
You get to decide what date "Today" is, in QQube
This affects any dependent measure or DAX formula in a QQube data model. For instance, if you define Today is 9/21/2022, but the actual date is 10/01/2022 then current month is based upon the 9/21/2022 date.
Based upon the following words within the Profit and Loss Expense and Other Expense section:
New Profit and Loss by Job
New Financial Reporting Option
Optional Company Synch Toggle
Improved Calendar Functionality
If you have wanted to use Power BI, but were intimidated by DAX formulas, or the prospect of spending thousands on development projects - then this is what you were waiting for.
Although QQube is designed to be used out-of-the box, there is much here for custom developers to chew on. This version of QQube will certainly make it easy for end users, but it will also save dozens of man hours for Power BI projects.
Developers and DAX experts will be happy to know that world renowned DAX expert Marco Russo was the chief consulting architect behind our implementation.
This guide is the starting place: For Database Experts and Power BI Developers
And for the DAX professors: DAX Methodology
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