John Porter

John Porter is a Senior Solutions Consultant at Vivisimo with more than 20 years of experience developing, delivering and selling enterprise software solutions across a diverse range of industries. In this role, John is responsible for understanding customers' information challenges and architecting technical solutions to help them meet those challenges. John holds a Masters of Computer Science degree from Villanova University with Bachelor’s degrees in Computer Science and Architecture from the University of Michigan.
Picture of John Porter

Navigating Corporate Data Silos: Unlocking The Data Differentiator

Monday, April 16th, 2012

Organizations are always looking for ways to differentiate themselves in the marketplace. An often-overlooked source of differentiation is housed within an organization’s collective data. Products can be examined and copied but what really makes an organization unique and drives competitive advantage is the data, information and knowledge contained within its collective conscience and its many data silos. The key features of the next great product release or business-building marketing campaign may be right under your nose, if only you could find it. Collected data is a competitive advantage but only if you can access it and use it effectively. To unlock the value contained in this data, workers must be able to access it, relate it and derive meaning from it an efficient manner. Search is the most common means to unlock this store of knowledge however its effectiveness is often undermined by the specter of fragmentation.

(more…)

Evolving Beyond Traditional Search

Monday, January 9th, 2012

Effective search is a difficult problem to solve for most organizations. The challenge of tackling complex interdependencies between source systems and trying to satisfy stakeholders with different search needs can be daunting. Unfortunately, poor search isn’t just an inconvenience, it’s a liability. The inability to find critical information when it’s needed most diminishes trust in systems impedes employee learning and leads to less than optimal decisions.

The good news is, these problems can be solved.

(more…)