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Shawn Rogers - Blog


Process Driven Analytics For Manufacturing

Innovative companies are adopting advanced analytics to take action and match the speed of their business. This is especially true in the world of manufacturing where complicated process driven activities benefit greatly from smarter, faster analytic insights and actions. Collecting and analyzing process data from sophisticated manufacturing processes requires a flexible and agile infrastructure that supports a wide variety of disparate data sources often spanning sensor and machine sources that are combined with instrumentation and testing data, machinery and production data, customer and market data, supply chain information, 3rd party benchmarks and a wide assortment of system data. 

I often blog as the Chief Research Officer for Dell Software - Read this entire post on


Why Do Analytically Driven Companies Adopt the Cloud?

It seems like a pretty straight forward question and more often than not most people assume the answer is centric to the economics of cloud. From the very beginning cloud has had a reputation for being a cheaper alternative to traditional on-premises solutions. It’s not an absolute truth in every implementation but cloud can often deliver an economic upside in comparison to on-premises solutions. Cloud helps companies avoid the risky capital investment often necessary with IT projects.

I often blog as the Chief Research Officer for Dell Software - Read this entire post on


Driving Innovation with a Cloud First Culture

Adopting new technologies that best fit your company’s business challenges can be a difficult process. Separating the marketing speak from true business value causes many firms to take a wait and see attitude towards cutting edge solutions creating innovation gaps and hindering competitive advantage...

I often blog as the Chief Research Officer for Dell Software - Read this entire post on


Is Social a Fad? See for Yourself.

A great Friday diversion. If you company is pondering how or why to use social data to enhance analytics understanding its impact is critical. This video does a nice job driving home the key points of how pervasive social is in our lives.


Don't Fence Me In!

Power users and self service line of business (LOB) users are always asking for more data access and easier to use tools that enable them to bypass traditional IT in favor of analytic freedom. Most of these users will push back hard on an environment that restricts thier ability to wander about in enterprise data.

Providing power and freedom to these users has incridible upside.

  • Faster time to insight
  • Less work for IT
  • Aligning business knowledge with the analytic process
  • pluggin more team members into data driven insights

These are just a few of the positives that come from self service or discovery based business intelligence. So what are the pitfalls of all of this freedom? I see two major disconnects that need to be addressed as this type of BI beomed more pervasive.

  1. Governance - Adding desktop data is a common choice for self service users. They often mash up information from a wide variety of sources many of which are not avialble to the rest of the enterprise. This can enhance or detract from the overall analysys and leave many in the dark as to how certain decisions are being made. 
  2. Enterprise Value - The insights created by LOB and power users can be extremelly valuable to the rest of a team or the company in general. Self service solutions that don't supply a common and easy path to share and leverage these insights is missing a key feature. I am partial to solutions that balance freedom and control. 

So the question is where does the control belong and how tight should it be. Does some governance and control add to the value? I think it does but the challenge is finding the sweet spot between freedom and a walled garden. If you want adoption you can't fence the power users in.

 For your entertainment - Bing Crosby and the Andrew Sisters sing Don't Fence Me In.