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What Does Math Have to Do With It?

Social Network Analysts study very large data sets, looking at hundreds of influencing factors and billions of data points. Using complex computer models running millions of calculations, specific behavior and location patterns are discovered and mapped.

This is much more accurate than surveys as it measures actual behavior.

Bottom Line?

Complex data reveals simple, clear patterns and exactly what actions will produce success.

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This book is a great toolkit for creating Trust and Relationships

Can this "soft skill" impact the bottom line?
How does Acknowledgment create Social Network connections faster than any other method?
What is Authentic Trust?
What underlying messages break down Social Networks and organizations?
What are the 5 languages of Acknowledgment and how can they transform a corporate culture?
How can you use this material to create a "best places to work" organization?
What is the financial value? ROI?

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Blazing A T.R.A.I.L. To Success: The New Art and Science of Acknowledgment by Scott Degraffenreid - Softcover Book $19.95

Purchase NowBlazing A T.R.A.I.L. To Success: The New Art and Science of Acknowledgment by Scott Degraffenreid -eBook $9.95

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eBundleSPECIAL OFFER - eBundle of eCourse & eBook for $44.95Purchase Now

 

 

 

Free Sample eBook Blazing A TRAIL To Success by Scott Degraffenreid

Click File..Save As..when the book opens to save it to your computer or eBook device

The Secrets of the Universe Are Revealed In Math, Music and Physics

This material is unique because it was created using the science of Social Network Analysis and Root Cause Analysis.

Social Network Analysis uses computer models that are highly accurate, complex and usually reserved for the military, the CDC, governments and very large corporations, who have solved complex problems and tracked specific individuals and activities with a more negative intent.
Powerful, proven and measurably effective information like this is something that other consultants and organizational experts don't use to create their latest theories. They just don't have access to the amounts of data necessary or the expertise to find the underlying patterns and influence factors within the data.


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