Yes Jim, There is a High End

“You [have] the techno-functional knowledge of a hiring manager  ...  which saves me an enormous amount of time and frustration.”

- Sr. Director, Fortune 500 Company

 

Analytics Accolades

20 Most Promising EPM Top Solution Provider
The SR 50 Most Admired Companies of the Year
100 Most Promising Big Data Solution Provider
  • AI Rules in Effect

    After decades of process automation, stability and productivity gains have been delivered, but not new growth.

    Enterprise yield is a new AI-enabled discipline - setting the stage for a new cross-enterprise executive discipline.

    Enterprise AI is changing the rules, enabling the discover of perishable opportunities hidden in diverse data.

    New growth is achieved by continuously sensing what people want and then delivering continuously adaptive value.

In our discussions with technology leaders, we’ve observed that they share a common challenge.  They recognize that the traditional processes to get the people they need to drive their technology roadmap is inadequate, but they often are handcuffed on what they can do about it.  

To sum it up collectively, they are frustrated that they can’t align the analytic talent that they need to leverage their technology investments.

There are a number of traditional barriers in place that we are working diligently to transcend.  These include some fairly very basic impediments, starting with the old vernacular and the old ways of going about aligning knowledge workers.

Our mission is to be a team building company for analytics, focused on building teams of strategic and operations knowledge workers from an inside looking out perspective, rather than outside looking in, so that more intellectual capital is retained by our clients.

This is how business leaders that need to build teams of analytic knowledge workers view the situation.  They want flexibility in aligning people with the technology.  

But when it comes to creating a People Roadmap that aligns with their Technology Roadmap, they are hamstringed by the talent silos that get in the way of progress.

 

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