Monthly Archives: May 2013

Open Data, A New Gold Mine

Economist magazine recently published an article with the title “A new goldmine“, citing it as the new modern day gold mine, not in the deep bowls of mother earth, but in the secret vaults of computing and physical filing cabinets of our great government. That treasure trove of data are going to be made “open”.

– President Barack Obama ordered with a single stroke of his signature, with out much fuss by our dear congress or the senate that “all data created or collected by federal government must be made available free to the public with out violating privacy, confidentiality, or security.  “Open and machine-readable”, the President said, is “the new default for government information”.

This is on top of the buzz and drum beat that are happening feverishly on many fronts on “big data”.

So, I am going to bring to your attention three things that will affect every one of us and it is not unique to USA.  Already Britain is opening up its data, following the idea of “public data belongs to public”.

Data is the new oil, what is the engine?

More data; more dross – Really?

10 Best Quotes That Will Make Predictive Jobs Easier for Analyst

An Analytical Consultant’s Rules of Engagement

1.  If you come to a fork in the road, take it – Yogi Berra – This is what most of do anyway.

A one second look at the road tells you which road is more greener, but the cost of waiting to take the decision makes you feel that other are passing by quickly and benefiting by that quicker decision

2. I am not afraid of death, I just don’t want to be there when it happens – Woody Allen

3. Nobody died of hard work; but why take chance? People do have concerns on events of zero probability

4. Every one line up according your first syllable and height – There is nothing wrong, but people can not process two variables to make a decision

5. People who think they know everything are a great annoyance to those of us who do.
Isaac Asimov
 – speak less and let the other prove themselves knowing all

Analytics vs. Non-analytics Approach – Enjoy the video

I love the passion of Ken Harrelson.

“White Sox television announcer Ken Harrelson and MLB Network analyst Brian Kenny had a spirited yet respectful debate on the merits of sabermetrics on “MLB Now” Thursday afternoon. Kenny, a disciple of sabermetrics, argued in favor of baseball teams using statistics to give themselves advantages during game situations. Harrelson, like a child refusing to eat liver and onions, countered that the only statistic that matters is “TWTW” — The Will to Win”, from the site. 

 How do you measure TWTW, using gut interpretation?


Is it something that can not be measured and analyzed?

From Data Monster & Insight Monster