My Get Up and Go Must Have Got Up and Went

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On this particular Good Friday in March of 2008, I received a call from their CFO.

In the first fifteen seconds, I can tell he is very uneasy.

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The unenlightened held Pollyanna beliefs that large-scale deals between Fortune 500 companies were not "fights" of negotiation but rather celebrations of friendship forged into a business relationship consummated with feel-good lunches and cocktails.

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Be careful.

We need help.

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Inducted into the Hall of Fame in 2014.

World Champion.

Earned $52 million playing cards.

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Left home at 14.

Quit school at 16.

Never attended college.

When reviewing each task that defines his work, we see that he fails nearly half the time.

Now 42 years of age, he is unemployed.

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As the internet came of age, startups like Google and Facebook weren't purchasing commercial off-the-shelf (COTS) software to build their internet companies.

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This week, I share my perspective on the element of chance.

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This week, I share my perspective on the magic of May at Oracle.

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This week, I honor all mothers with a tribute to mine.

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At that time, Amazon and WaMu were not large accounts to Oracle.

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Few people know the story I'm about to share.

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A forecast without risk is not a forecast. It's a Closed-Won Report.

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In this week's edition of Win More, Make More, I share how Larry's genius empowered and enabled a small group of sales leaders to do what they do best.

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This week, in an effort to highlight the power of emotion, I share a very personal story.

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Win More, Make More will return on April 6th.

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With the Verizon, JCPenney, and Origin of the ULA stories yet to come, we take an exit off Memory Lane to share what's happening right now for this week's edition of Win More, Make More.

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Thirty minutes into this meeting, Larry looked like he needed a cigarette. I knew the look and the irritated body language.

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An example is an Olympic gymnast, training all the time and able to accomplish some of the most challenging maneuvers but will not and can not successfully execute them 100% of the time.

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Her project ultimately became Amazon's now famous personalization engine.

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