Houston Rockets using Analytics

Recently, I had posted my views regarding the use of analytics in sport (on the company blog here).

I just came across this additional piece of information today. Rockets using Daryl Morey and his analytical skills for the game.

It justifies my faith in the world of analytics and its universal applicability.

UNC and SAS partner for advanced analytics degree

University of North Carolina and SAS are partnering for an advanced degree in analytics. This is pretty cool stuff, I say.

So far, most of the people I know in the industry have started off with theoretical knowledge of statistics and econometrics and then built their understanding of "analytics" which is beyond the subject matter. I am hoping that courses like these would help fill the void

Crime Analysis Blog

Here... I want to link it to my RFID post .. Crime Analysis using RFIDs!!

Thanks Sandro for pointing me to this...

Hilarious (Though not quite analytics)

Just saw this post on Juice Analytics.. here

Hilarious.. Outrightly hilarious and contemporary. We don't even realize how close we have gotten to the evil/angel called PPT presentation for all our communication needs. And the breakup surely is gonna hurt, as and when it happens!

Tagging Frequently

One of the most interesting possibilities with analytics is what I discovered in my first job, working with the RFID team. While we were discussing RFID tags, the way they store data, and the nature of the data stored, we were also discussing the umpteen CVM and Loyalty possibilities opening up in retail. The next idea that came about was RFIDs and Cars and tagging for payments, tolls etc. And before we could even blink our eye, we were talking about theft prevention using RFID. I am sure its a topic beaten to death by now (we were having this discusion in the september of 2003!)

However, RFID and theft prevention is basic. Its easy to track vehicles based on their tag. But based on RFID tags and the data stored on that, lets see what the possibilities are -

1. Theft Forecast - based on users/ forecast zones/ theft trends/ etc.
2. Traffic Forecast - optimize the flow of traffic to key destinations by dynamically managing the routes.
3. Car designs by user segments...

and I am just warming up! :)

Let me introduce myself

Well, I am Amit Das, a Consultant with the Analytics team at Diamond Management & Technology Consultants (erstwhile Diamond Cluster International/ Diamond Technology Partners) (NYSE: DTPI). The company also has an analytics blog carrying some neat discussions!

Given my numerous dealings with data, analytics and data analytics, and the gazillions of terabytes of thoughts that keep coming to my mind, I just decided to create an alternate blog!

My other frivolous existence can be found here