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John Myers

Hey all-

Welcome to my blog. The fine folks at the BeyeNETWORK™ have provided me with this forum to offer opinion and insight into the worlds of telcommunications (telecom) and business activity monitoring (BAM). But as with any blog, I am sure that we (yes we... since blogging is a "team sport"...) will explore other tangents that intersect the concepts of telecom and BAM.

In this world of "Crossfire" intellectual engagement (i.e. I yell louder therefore I win the argument), I will try to offer my opinion in a constructive manner. If I truly dislike a concept, I will do my best to offer an alternative as opposed to simply attempting to prove my point by disproving someone else's. I ask that people who post to this blog follow in my lead.

Let the games begin....

About the author >

John Myers, a senior analyst in the business intelligence (BI) practice at  Enterprise Management Associates (EMA). In this role, John delivers comprehensive coverage of the business intelligence and data warehouse industry with a focus on database management, data integration, data visualization, and process management solutions. Prior to joining EMA, John spent over ten years working with business analytics implementations associated with the telecommunications industry.

John may be contacted by email at JMyers@enterprisemanagement.com.

Editor's note: More telecom articles, resources, news and events are available in the BeyeNETWORK's Telecom Channel. Be sure to visit today!

Just got out of an interesting session with Garmin at the Telematics Update show.

Garmin said that fine detail analysis of a car's behavior including speed of acceleration; speed of braking; and avoiding hills could dramatically increase the range of an electric vehicle (EV)... or reduce the carbon footprint of a gas vehicle. This is over and above traditional information like speed and distance. It was, quite frankly, an implementation of geospatial analysis I hadn't thought of.... That is until the business/green aspects were provided to me...

Since EVs currently only have so many charging locations, you don't want to get stuck down the wrong road or halfway up the wrong hill.... ;)

The question will be how well an organization can integrate the various telematic information to create that analysis:

  • Dynamic EV information like battery charge
  • Fluid external information like traffic density
  • Static external information like rise and fall of streets; as well as charging station location


to provide an EV’s driver with the "operational BI" on how/where to drive.

Other than shortest distance or shortest time how many elements due you think the average driver can process or agree to process from a navigation system?

Or does it depend on training associated with running out of "juice" on the wrong side of a hill from the charging station? ;)


Post your comments below or email (John.Myers@BlueBuffaloGroup.com) / twitter (@BlueBuffaloGrp) me directly.

Posted June 8, 2011 6:57 PM
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