On 2007-05-24 12:48:00, Allan Engelhardt wrote in CYBAEA Journal:
McKinsey writes about Better Strategy Through Organizational Design and come out strongly in favor of Enterprise Social Software and collaboration techniques:
[T]he new element that can help 21st-century corporations create more wealth is large-scale collaboration, across the entire enterprise, enabled by digital technology. ... Digital technology provides the means not just to promote efficient, effective, and large-scale collaboration but also to measure each person’s “assists” and thus motivate employees to collaborate in ways that were not possible in the past.
Their arguments are closely linked to the profits per employee measure we introduced back in October last year. This is the most important metric for the CEO to manage.
Focusing on this formula (rather than returns on capital and on the amount of capital deployed) offers several advantages. For one, profit per employee, unlike returns on capital, is a good proxy for earnings on intangibles. The reason, in part, is that the total number of employees is easy to obtain, while a company’s capital, surprisingly, is subject to the vagaries of accounting on issues such as goodwill and to corporate-finance decisions such as debt-to-equity ratios, dividend policies, and liquidity preferences. And these days, talent—not capital—is usually a company’s scarcest resource.
Talent is the scarce resource because it is the ultimate generator of the intangibles that drive the creation of wealth in the digital age. Winning companies are those that can increase their profit per employee by mobilizing labor, capital, and mind power into profitable institutional skills, intellectual property, networks, and brands. The returns to companies that can accomplish all this are extremely attractive because intangibles now confer enormous scale and scope advantages. Furthermore, intangibles represent unique assets for the individual companies in possession of them—that is, they are unique in supply—so they can create “natural monopolies,” which are difficult for other companies to replicate.
This is difficult for most executives. Innovation velocity is dependent on collaboration; and collaboration among larger groups and creation networks require different skills and tools than what most executives are used to and is therefore often ignored or placed in the "too hard" category. But it isn't too hard if the executive team is willing to show leadership and embrace new organizational ideas.
On 2009-07-02 20:33:00, Allan Engelhardt wrote in CYBAEA Data and Analysis:
I am a sucker for good quality data. I wrote about data.gov, the US Government data site before, and now I find OECD Statistics which has some 300 data sets, many of which seems to be readily accessible (though some may require subscription)
Read more (~53 words).
On 2009-06-16 10:27:00, Allan Engelhardt wrote in CYBAEA Data and Analysis:
I like the "multicore" library for a particular task. I can easily write a combination of if(require("multicore",...)) that means that my function will automatically use the parallel mclapply() instead of lapply() where it is available. Which is grand 99% of the time, except when my function is called from mclapply() (or one of the lower level functions) in which case much CPU trashing and grinding of teeth will result.
So, I needed a function to determine if my function was called from any function in the "multicore" library. Here it is.
Read more (~190 words).
On 2009-06-12 10:23:00, Allan Engelhardt wrote in CYBAEA Data and Analysis:
Somebody on the R-help mailing list asked how to get Rmpi working on his Fedora Linux machine so he could do high-performance computing on a cluster of machines (or a single multicore machine) using the R statistical computing and analysis platform. Since it is unusually painful to get working, I might as well copy the instructions here.
Read more (~414 words, 2 comments).
On 2009-06-09 11:23:00, Allan Engelhardt wrote in CYBAEA Data and Analysis:
O’Reilly has published Data Mashups in R as a $4.99 PDF download in their Short Cut series. In 27 pages it takes you through an example of how to combine foreclosure information with maps and geographical information to produce plots like the one here. This is all done with the R statistical computing and analysis platform.
Read more (~108 words).
On 2009-06-01 07:07:00, Allan Engelhardt wrote in CYBAEA Data and Analysis:
Hugh Miller, the team leader of the winner of the KDD Cup 2009 Slow Challenge (which we wrote about recently) kindly provides more information about how to win this public challenge using the R statistical computing and analysis platform on a laptop (!).
Read more (~456 words).
Join the discussion
There are no comments yet. Be the first to comment.