The link attached leads to an experiment: You can click here to reach it. It’s the first in what I intend to be a series of posting, sharing of data sets, and publishing analysis: a continuation Guerrilla Analytics initiative. I’m not going to talk about the hypothesis driving this particular experiment. It’s a big go in terms of getting some facts on the table. .
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ChangeCamp is a nice continuation of what I think should happen. On Thursday’s The National with Peter Mansbridge, I listened to the panel chortle about how meaningless 100,000 facebook fans complaining about prorogation was. The principle complaint against social media participation? That it was easy for just anybody to click a button. Isn’t that the point? To make democracy easier? More accessible? It’s because I believe that we need to reform the government-public interface that I’m going to support ChangeCamp. What’s possible? To Canada: Social Media in 2010 is to the CBC in 1935 is to the railroad in 1889. .
Analytics continues to be a very manual process because of the great disconnect between data collection tools, data analytics tools, data vizualiation tools. The analyst frequently takes data out of the collection tools and puts it into an analytics tools (sadly, an excel spreadsheet where it’s tortured) and then from an excel spreadsheet into a communication medium (Powerpoint, Word, GGOBI, another excel spreadsheet). This movement of data from one place to another is touching. Should human fingers touch data? There have been great advancements within the data measurement tools in 2009: Google, Omniture, Coremetrics, Web Trends, Unica. We’re able to slice and dice and vizualize data like never before within these tools. I applaud that. Progress has been made. I[…]
If the output of an analytics program is competitive advantage – it follows that it’ll be a source of profit to be optimized as opposed to a cost to be minimized. Web reporting is to marketing as accounting is to business. Analytics is to marketing as management science is to business. This is about as clear of an argument as I can make for the scientific practice of analytics.
1. The purpose of analytics is to derive competitive advantage for the organization / firm / entity.2. Data alone does not yield competitive advantage.3. A sequence of progressive hypothesis testing is the most efficient and effective method to derive competitive advantage from data.4. Predicting the future requires an understanding of cause and effect.5. Correlation is not always Causality.6. Accuracy over Precision.7. It is possible for there to be two optimal, equally true, answers to a problem. (And Sometimes More!) (X^2 = 4, x=-2, 2). And what’s the point of the seven axioms? I’m stating, as clearly as possible, what I believe to be at the root of how analytics should be practiced and it should be anchored to reality. Explicit[…]
It is possible for there to be two optimal, equally true, answers to a problem (And sometimes more!). (X^2 = 4, x=-2, 2). .
Accuracy over Precision. .
Correlation is not always Causality. .
Predicting the future requires an understanding of cause and effect. .
A sequence of progressive hypothesis testing is the most efficient and effective method to derive competitive advantage from data. .