5 Rules Alan Mulally used to turn around Ford, They make sense for most of us

How would you like to be faced with the challenge of turning around Ford in 2006.  Alan Mulally took the challenge and succeeded.

Barron’s has a post on the turn around

1) Internal fighting makes the company stronger.

2) Bend the truth to fit your view of the situation.

3) To make 1) and 2) easier everyone should have their own numbers.

4) Be like Teflon and let your actions slide pointing to others.

5) Look busy, doing more is most important.

OK, you know these can’t be the list.  I wrote the opposite on purpose.  The real list is: 

1) Stop fighting with each other. 
2) Tell the truth about the situation. 
3) Agree on one set of numbers. 
4) Be accountable for your actions. 
5) Do less, better.

The change included a weekly meeting for the immediate subordinates to know the #’s.

Mulally directed his immediate subordinates, from the chief financial officer to the general counsel, to attend a weekly business-plan review. They were to bring real numbers for their responsibilities. Few of the top guys knew them. They had subordinates to do those presentations. That was no longer allowed.

In most companies, such accountability -- up close and personal -- is rare at high levels, and it almost had never been seen at Ford. It now was required every seven days.

Results?

What caused this success? Ford, a company in which the top executives really knew their numbers, committed to take a high-risk leap forward with their whole product line. They did this knowing full well that their quality ratings would tank until factories and workers climbed the learning curve and customers climbed the confidence curve about its products.

Japan backtracks on Plan to go Nuke Free

Environmentalist cheered Japan’s decision to shut down all its nuclear reactors, but a 40% increase in power costs has Japan going in reverse.

Technology Review reports on the change. Why?  Because Nuclear has been replaced by Coal, Oil and Natural Gas

The hole made by shuttering the nuclear industry has been filled with coal, natural gas, and oil.

 

Oops, you mean Big Data does not perform magic

I don’t know about you, but I have learned to be cautious about grand claims of what can be done with big data.  Expecting a bunch of big data science people to be like magicians turning data into gold sounds good, but notice that those who tell the big data stories many times have something to sell.

Here is an arstechnica story on the Big Data Hubris.

Put another way, it's not uncommon to hear the argument that "computer algorithms have reached the point where we can now do X." Which is fine in and of itself, except, as the authors put it, it's often accompanied by an implicit assumption: "therefore, we no longer have to do Y." And Y, in these cases, was the scientific grunt work involved with showing a given correlation is relevant, general, driven by a mechanism we can define, and so forth.

And the reality is that the grunt work is so hard that a lot of it is never going to get done. It's relatively easy to use a computer to pick out thousands of potentially significant differences between the human and mouse genomes. Testing the actual relevance of any one of those could occupy a grad student for a couple of years and cost tens of thousands of dollars. Because of this dynamic, a lot of the insights generated using big data will remain stuck in the realm of uncertainty indefinitely.

Recognizing this is probably the surest antidote to the problem of big data hubris. And it might help us think more clearly about the sorts of big data work that are most likely to make a lasting scientific impact.

Wow AWS is 8 years old

GigaOm’s Barb Darrow posted on AWS turning 8.

 

Amazon’s ginormous public cloud turns 8 today

 

3 HOURS AGO

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birthday cake
photo: wfabry
SUMMARY:

When Amazon launched S3 in March, 2006, no one with the possible exception of Jeff Bezos et al, thought that Amazon Web Services would become an IT juggernaut. Well, guess what?

Eight years ago Amazon, the online book seller, announced a storage service for the internet. That S3 service was the first of a slew of cloud-based products that Amazon launched and which, it can be safely said, shook the IT world to its roots.

I can remember this time well as I left Microsoft in Apr 2006 and a friend left Microsoft to join the AWS team, and he is still there.

Web Services Evangelism

Amazon Web Services

May 2006 – February 2010 (3 years 10 months)

Amazon Web Services provides developers with direct access to Amazon's robust technology platform on a true on-demand basis. For example, what used to require an upfront investment in servers is now an on-demand utility, accessible for only $0.085/hour, with no upfront costs, no monthly minimums, and no catches.

There is nothing more exciting than telling the world about the amazing things that they can do with Amazon Web Services. So it was easy to travel the world, telling anyone who would listen, about this new thing known as "the cloud". Isn't it incredible? In 2006 S3 and EC2 were born -- and we were amazed that 185 million "objects" were stored in Amazon S3.

Facebook Open Sources its PUE/WUE Dashboards

Facebook has open sourced its PUE and WUE Dashboard tools.  We’ll see if others contribute open source data center SW.  Right now Netflix and Facebook seem the most active.

Lyrica McTiernanEngineering

Open sourcing PUE/WUE dashboards

POSTED 6 HOURS AGO

Last April, we launched public dashboards that visualize real-time energy and water efficiency in ourOregon and North Carolina data centers. We’re proud of our data center efficiency, and we wanted to demystify data centers and share more about what our operations really look like.

In the spirit of transparency, we encourage others to share these data as well. To make this easier, today we’re open sourcing the code for these dashboards so anyone can use it. Since not all operational systems aggregate data in the same way, we’ve separated the code into two pieces: a front-end UI component and a back-end data aggregator that may be helpful for those with systems similar to ours. The two components work together – or they can be used separately.

Rackspace participated in beta testing this code and provided feedback prior to this open source release. Rackspace is currently considering integrating the open source code into their facilities.

In the coming months, we will be adding a dashboard for our Sweden data center and – when it’s operational – for our Iowa data center as well.

To access the dashboard code, go to GitHub for the front-end component, and the back-end data aggregator.