The Forrester Muse
APR 8, 2014 2:32pm ET

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Why Every Data Architect Should Be An Analyst First

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“Context” is the new buzz-word for data. Jeffery Hammond talks about it in Systems Of Automation Will Enrich Customer Engagement, Robert Scoble and Shel Israel talk about it in their book “Age of Context”, and you can’t ignore it when it comes to a discussion for Cognitive Computing and the Internet of Things. We’ve live in a world where data was rationalized, structured, and put into standardized single definition models. The world was logical. Today, we live in a world where the digital revolution has introduced context, the semantic language of data, and it has disrupted how we manage data.

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Comments (2)
Very good article. Very often I'll talk to Data Warehouse specialists, and ask "so, what type of solutions have you worked with". The response will tell you how experienced they are. Us hardened, grizzled veterans will start talking about insurance solutions, HR solutions, finance solutions, etc. The younger, less experienced guys and gals will regale us about Microsoft SQL Server Ver xxxx, Oracle, Hyperion, and a list of technologies and toolsets.

don't get me wrong - knowing which tool is best for the job is vital, but knowing how customers operate is even moreso. The best solutions have fallen by the wayside because users do not use it.

Solutions that truly meet the customer's requirements are born from understanding why and how users use information, not where they click in the tools.

If you don't know the rules of the game, how can you expect to win?

Posted by Zanoni L | Wednesday, April 09 2014 at 8:22AM ET
What you show is that as DW specialists are looking to grow they need to collect skills and perspectives. Yet, even when talking about "solutions" that support an industry or business unit, I still come across many that translate that into the technology as well - SAP ECC, Oracle SIebel, or specialized industry technology. At least working with or adjacent to these technologies starts to bridge between data process and business process. What is interesting is that those architects that are valued have bounced between business roles and technology roles. More interesting is that when you get to the higher levels - say the chief data officer - those that are now sitting in those positions and are successful have more than likely come from business units and have backgrounds in business transformation and large technology projects. So, if data architects want a career path, stepping outside of technology to get experience, not just an MBA, is an imperative.
Posted by Michele G | Thursday, April 10 2014 at 11:37AM ET
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