Joe Gimenez

Oil/Gas & Utilities: Finding the Value of Analytics

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BethSchultz
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Re: Welcome!
BethSchultz   6/4/2012 10:03:50 PM
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Joe, this is a fascinating time for these industriies, indeed! Interesting to watch, of course, given the critical nature of the products these industries deliver -- both at a personal level but from the broader eco perspective. How much does the drive for analytics marry to the push for greener operations, I wonder.

SethBreedlove
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Data Doctor
Re: Welcome!
SethBreedlove   6/4/2012 3:21:01 PM
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It sounds like the oil/gas and utilities industry is in an akward situation. Having the gun go off and saying "ready, set, go!" and still standing at the start line.  They know they need, they want it but not sure how. 

So it seems they need outside help.  SAS has presented at the SPE Digital Energy Conference back in April 2011 on how oil companies can more accuratley forcast well performance. IBM and Shell are using analytics to find more gas and oil.  Oil companies shouldn't hesitate to utilize the expertise of these companies. 

Joe Gimenez
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Re: Welcome!
Joe Gimenez   6/4/2012 1:20:06 PM
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Thank you Beth! It's exciting to be on board. This is an exciting time in the history of the Oil/gas and Utility industries and I'm happy to play a part in its development. Again, thank you for having me on board! Best regards, Joe Gimenez

BethSchultz
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Welcome!
BethSchultz   6/1/2012 9:09:02 AM
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Hi Joe! Let me be the first to welcome you to the AllAnalytics.com blog roll. You ask some intriquing questions about the role of analytics in the oil/gas and utility industries. Can't wait to read more over time. Cheers!

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More Blogs from Joe Gimenez
A 1982 federal report is fascinating because it summarizes the utility energy forecasting methodologies that were considered cutting edge at the time.
Utilities can answer a lot of forward-looking questions with their backward-looking data.
Watch for pricing transformation in the 26 states where public utility commissions monitor and set electricity rates.
One has to wonder what could have been if the utility's project included a communications feedback loop from customers.
With the amount and type of hurricane data available, utilities would be well advised to power up big-data analytics and figure out how to better predict and respond to outages.
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