Month: August 2017

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Simplifying the Stack with Enterprise Architecture

Reading through a Forbes article regarding the value of network architecture and it’s ability to simplify the stack was valuable for several reasons.  Perhaps this is common knowledge for people who have worked in IT as a career, however I have limited knowledge of network architecture and found the article engaging.

The foundation of the technology stack is often represented through the layers that are required to deliver the expected business results.  This application and perspective of where and how network architecture can be disrupt and change how the information technology stack should be designed is intriguing.  The below image provides a perspective on how this can simplify information technology architecture.

http://article.sapub.org/image/10.5923.j.ijnc.20120205.03_002.gif

 

I have always had a passion around using technology to simplify and optimize business solutions through innovation.  I have experience and knowledge on the business and enterprise software opportunities to create value through simplicity, however not across IT Architecture.

References

Hawes, L. (2012). Enterprise Software Architecture: a Network of Services, Not a Layered Stack. Forbes, 2.

SAP Pub. Image. http://article.sapub.org/image/10.5923.j.ijnc.20120205.03_002.gif

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Data / information architecture layer

The information architecture stack is also a relatively new concept within itself.  I do have significant experience with many of it’s layers however.  Data/Information Management is one of those areas (the other is business process).  is an areas I have significantly more experience.  These two levels of the IT stack provide critical capabilities within themselves, however when optimized in harmony, the opportunities to optimize enterprise performance are significant and plentiful.

The concepts within each of these layers of the IT stack include some of the most foundational components to improving business process results.  Data//Information is an enterprises most valuable asset as there are virtually no business processes, reporting, enterprise metrics, etc. that can effectively work without it.

These areas also represent components that the business can usually provide their business processes and practices around master data management with enough detail that the risk of information and collaboration across departments can be much less significant.

Organizations cannot monitor, measure, and analyze the business processes that enable their strategic objectives without the information that can make this a reality.

Below is the high level example of aligning data and business processes targeted at improving business results with data.

References:

Barnes, H. (2017). Digital Disruption Demands Demystification (Hype Cycle Season). Gartner