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Friday, April 05, 2013

From Power View to Cube and back again - A Recap Friday

Well what have we here now? Another Friday has settled upon us. Man what busy week this has been, filled with all kinds of great things. I wanted to take the time, and just post a recap of sorts from this & last weeks post. The goal and focus of these past weeks have been around truly using the BI Semantic Model within the context of Dynamics AX 2012 R2.

Without a doubt for each of the topics covered, there is plenty of room for extended reach & depth of knowledge. We can easily spend hours, upon hours within Power View design concepts and more. Further, we could opine and expound on the many depths that exist within the realm of SSAS cubes. Topics as deep as Tuples, and the underlying structures that contain our aggregated measures & dimension attributes. However, while there might be some value for certain people in such a deep journey of understanding for each of the fore mentioned topics, the point would be lost of what the goal really is.

That goal my friends is the enablement of quick consumption of data assets. This is the real goal of any business intelligence story that is to be crafted for a company. Owning the data, and turning that data into a real asset that goes to work for companies. With this goal in mind then, the following is a recap of the recent post, with the goal of quickly getting you up & running with Power View. Further, showing you how *any* cube can be the target for such personal BI artifacts.

Now having each of these reviewed, you should see how simple it really is to empower yourself and your company or clients to truly start embracing the full BI Semantic Model. When Microsoft Dynamics AX is your system of record, and acting as your main data mart, then you have a great BI offering built right into the product. This is what we refer to as Tier 1 BI for Dynamics AX customers. Meaning that nothing but the stack of Office+SharePoint+SQL Server (OSS) is used to craft a BI story for a company. It's very feasible, and does not take a deep understanding of the empowering underlying technologies to get started.

Well that's all I wanted to gab about today with you. The end result is less focus around what tool really, and more about the data. To much focus at times is placed in the ecosystem currently around specific tools, and myths of 'removing IT' from the equation. The goal is putting your data to work for you, and then the tool comes into focus for the specific BI artifacts that are needed to get the job done.

I would like to add an interesting note here. This is actually my first full blog post, from my new Surface Pro 128 GB version. I'm typing this from the 'real keyboard' cover type as well as having the use of the Surface mouse and stylus for completion of task. I must say I'm very impressed and really looking to push this to the limits. Til Next Time!
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