CYBAEA is an independent consulting organization. We help our clients prepare for and profit from disruptive technology innovation.

We support organizations in defining, communicating, and delivering their strategy for the use of technology. Additionally, we provide independent research that identifies and analyzes major trends in technology and their impact on business.

Navigating Technology

History is littered with the corpses of companies that made assumptions about their future based on known technologies, only to be swept away by innovation rendering entire industries obsolete.

Such disruptive innovation can be a threat or an opportunity. It all depends on how prepared you are.

CYBAEA is an independent consulting organization. We support our clients defining, communicating, and delivering their strategy for the use of technology.

We work closely with our clients to add measurable value through each stage of the process of realizing your business objectives:

Vision. Everything starts with a vision. You've got to have a dream, as the song has it. How will you articulate and communicate your vision to ensure that it is taken up by investors, employees and other stakeholders?

Research. Research places the vision in context. What is the competition doing, what disruptive technologies are on the horizon, what are the alternative strategies?

Strategy. Strategy is the vision made concrete. How will you change the way you do business, your organization, and your relationship with suppliers, customers, employees, and investors?

Change program. Rarely, can a business strategy be implemented in a single step. Usually a change program is required. What is the portfolio of projects that will successfully implement the strategy, what are the project dependencies, and what is the optimal scheduling?

Read more about CYBAEA: What we do and who we are.

cybaea (latin), ae, f.: trading vessel; a transport, cargo, or merchant ship.

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Recent blog entries

OECD Statistics

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)

R tips: Determine if function is called from specific package

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.

R tips: Installing Rmpi on Fedora Linux

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.

Data Mashups in R from O'Reilly

On 2009-06-09 11:23:00, Allan Engelhardt wrote in CYBAEA Data and Analysis:

[Philadelphia County July 2009 Foreclosure Heat Map]

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.

How to win the KDD Cup Challenge with R and gbm

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 (!).