Seasons to turn

Some people like to take and take. They will demand more vacation time, more pay, more stock options. They usually end up whining in a negative manner having failed to achieve success in lets take and take attitude.

Some people pretend they like to give and give, though they really are sub consciously taking more than they are giving. Hypocrisy with attitude can work in sales and marketing but not in real life.

To build a unicorn statup you need ninja hackers. One of the best lines in the famous hacker attitude is – attitude is no substitute for competence

Sometimes we need to turn our past habits of smug success to hungry learning and probing. There are seasons to turn in every startup and you better change your attitude before your attitude hurts your baby unicorn.

 

Brief History of Analytics in India

Business Analytics as it used to be called before it became branded as data science has two decade long history in India. It’s roots were in outsourcing, as associate divisions of large Information Technology firms

The setting up of business analytics in the 1990s was done by two centres- McKinsey Knowledge Centre (1998) ( by the global McKinsey consulting company) and GE Analytics ( by GE corporation).

GE Analytics (1998) was a separate company headed by an XIMB Professor Shrikant Dash https://www.linkedin.com/in/sdash1 which was then merged with GECIS to be a division called ACOE analytics centre of excellence.  In 2005 GECIS was spun off by GE to become GENPACT. ( The author worked briefly for Dash, GE , GECIS  )

Among the people helping set up McKinsey Knowledge center were Neeraj Bhargava and his team. Neeraj later became CEO at WNS Global (2002) and helped take WNS to it’s IPO. Assorted McKinsey alumni helped to boot up WNS especially in it’s analytics division called Knowledge Services. ( The author worked briefly for WNS Knowledge Services)

Business research was primarily pioneered by Evalueserve founded in 2000  by IBM as well as McKinsey alumni. They also may have been responsible for popularizing the term KPO ( Knowledge Process Outsourcing) as a differential brand from BPO ( Business Process Outsourcing). Evaluserve expanded from Business research to financial research, market research but was not so succesful in efforts to establish itself as a leading analytics player.

From Captive Centres to Third Party Offshoring was the next big shift in outsourcing that affected analytics. In the meantime American Express had the largest captive centre (for analytics primarily at parent company).

GENPACT and WNS were and remained leaders in BPO but were joined by EXL (https://en.wikipedia.org/wiki/EXL )  in adding Analytics as an added service to its offshoring portfolio.

In June 2006: EXL acquired Inductis, a Analytics firm that had been a pioneer till then in being a pure play analytics company. There were other smaller companies that got similarly acquired ( Adventity by Sutherland Global , Marketics by WNS, marketRX by Cognizant, Symphony by GENPACT)

The leading IT and software services companies in INDIA like Infosys, TCS and in particular WIPRO did start their own analytics divisions but they were primarily aimed at cross selling analytics to existing clients.

GENPACT was listed in 2007 (https://en.wikipedia.org/wiki/Genpact) and its revenue from analytics is not known though it is generally considered to be one of the premium priced analytics company. As of 2012 it’s analytics revenue were said to be $250 million.

The confused strategy, premium pricing, cross-selling outsourcing with analytics  of all these players led to a gap that was exploited by Mu SIgma. Founded by Dhiraj Rajaram in 2004, Mu Sigma (https://en.wikipedia.org/wiki/Mu_Sigma_Inc. ) expanded rapidly to be the first pure play analytics company above 5000 employees. Dhiraj was brilliantly assisted by his wife Ambika, who played a role similar to what Sudha Murthy did at Infosys.Ambiga continues to works for Mu Sigma and has played multiple roles. This probably makes her the most influential  woman in data science as a service in India ( and given’s Mu Sigma size, probably the world )

( The author briefly met them when Mu-Sigma was 200 member and then 600 member strong)

In February 2013, Mu Sigma received an investment of $45 million from MasterCard, which placed the company over the $1 billion unicorn milestone. It also marked a vindication in the model of treating analytics separately and distinct from offshoring services

Fractal Analytics was founded in 2000 and managed to survive both the acquisition binge by the big players as well as the cyclical turns in the offshoring business. It is another pure play analytics company with both a long history, a comparatively early focus on pure play analytics as distinct from outsourcing and comparatively recent focus on venture fund-raising efforts. Fractal continues to grow rapidly, and has attracted multiple rounds of investment.

(The author has briefly met and interacted with the CEO of Fractal, where he also once trained in R)

In 2014, the people calling in analytics industry in India started calling themselves data scientists and they all lived happily ever after 😉 .*

( This is a brief article- it is a continuous work in progress that is trying to chronicle how an industry grew and flourished)

*the Big Data as well as Data Science movements have led to tremendous growth opportunities as well as risks for Indian analytics companies who now have to compete with Silicon Valley startups for analytics  as a product than as a commoditized service.

Dead Heroes make great T Shirts

Some of my heroes whom I wear on my T Shirts

1 Kurt Cobain – marrying the wrong woman can lead to a hole in your head

2 John Lennon – marrying the wrong woman can break up your band no matter how big. Imagine.

3 Bob Marley – Too many Drugs will kill you everytime

4 Freddy Mercury – Too much love will kill you everytime

5 Gandhi – Peace and Non Violence. Forever

6 Steve Jobs – I can be a jerk and get way with it if I am an iGenius

7 Jesus Christ –  Even Jesus can get angry

Jesus entered the temple courts and drove out all who were buying and selling there. He overturned the tables of the money changers

Data Science to kill and Data science to sell

My computer science professor at University of Tennesse tried to teach me genetic algorithms. I managed to score an A thanks to the brilliance of my team member who created a genetic algorithm using C. For some reason the loveable professor had something against C ++. Real men talk to the metal using C.

Anyways the professor had this theory to say about computer science. He said computer science had two principal sources of revenue.  One is increase kill ratio. The other is to make people sing your tune.

Department of Defense consumes the maximum revenue a nation produces globally across most nations and it funds the maximum data science atleast in the USA.  Making people click you ad is the other source that data science gets funded for. Apparently there is history involved here.  The Italian navy funded Galileo’s telescope ( but stood aside when the Pope disagreed). DARPA funded the internet. Insert here- standard joke on Al Gore inventing the internet.

Principal sources of data for this signal intelligence (sigint) fueled data science comes from telecom, websites and sensors. Principal sources of analysis is actually a huge amount of reports (written on conversations with humint) that are better of  mathematically text mined but are in practice dissected one by one.

Real intelligence begins when no guns are fired. The cold war on the internet is a real threat to free internet and cyberwar is just a way to combine kill ratios for servers to data sourced from ads.

In the meantime, I prefer the maths of Good Will Hunting than the maths of Patriot Games. I prefer the music of Bourne again.

 

 

Terrorists Robots and Data Scientists

Will Smith stars in

The rules for Robots from “Handbook of Robotics, 56th Edition, 2058 A.D.”, are:

  1. A robot may not injure a human being or, through inaction, allow a human being to come to harm.
  2. A robot must obey the orders given it by human beings except where such orders would conflict with the First Law.
  3. A robot must protect its own existence as long as such protection does not conflict with the First or Second Laws

0. A robot may not harm humanity, or, by inaction, allow humanity to come to harm.

The zeroth law is why democratic governments kill terrorists using all means possible. One dead terrorist  is better than many innocents killed.

to be continued

Java by Code Academy

I love the Java by Code Academy course, even though it is very new and quite possibly one of the first of many Java courses that hopefully appear on this beloved website. I crossed 800 points today on CodeAcademy.

https://www.codecademy.com/courses/learn-java

Summaries  from Code Academy on Java- these are sourced by the nifty help provided and are cited to Code Academy ( how does one cite it!)

Java is an object-oriented programming (OOP) language, the coder can design classes, objects, and methods that can perform certain actions. These behaviours are important in the construction of larger, more powerful Java programmes. Java is a programming language designed to build secure, powerful applications that run across multiple operating systems. The Java language is known to be flexible, scalable, and maintainable.

 

  • Data Types are int, boolean, and char.
  • Variables are used to store values.
  • Whitespace helps make code easy to read for you and others.
  • Comments describe code and its purpose.
  • Arithmetic Operators include +, -, *,/, and %.
  • Relational Operators include <, <=, >, and >=.
  • Equality Operators include == and !=.

 

 

Control flow allows Java programs to execute code blocks depending on Boolean expressions.

  • Boolean Operators: &&, ||, and ! are used to build Boolean expressions and have a defined order of operations
  • Statements: if, if/else, andif/else if/else statements are used to conditionally execute blocks of code
  • Ternary Conditional: a shortened version of an if/else statement that returns a value based on the value of a Boolean expression
  • Switch: allows us to check equality of a variable or expression with a value that does not need to be a Boolean

	

Ajay Ohri interviews Dr Bradley Jones for StatisticsViews.com

I had the good fortune and privilege to interview a  genuine statistical hero, Dr Bradley Jones

http://www.statisticsviews.com/details/feature/8510051/For-me-the-fun-of-working-with-scientists-and-engineers-is-helping-them-generate.html

He holds a patent on the use of DOE for minimizing registration errors in the manufacture of laminated circuit boards and is the inventor of the prediction profile plot for interactive exploration of multiple input and output response surfaces. In both 2009 and 2011, he received the American Society for Quality’s Brumbaugh Award for the paper making the largest contribution to industrial quality control. He also won the 2010 Lloyd S. Nelson Award for the article having the greatest immediate impact to practitioners. Jones is the Editor-in-Chief of the Journal of Quality Technology, a Fellow of the ASA and co-author of the award winning Optimal Design of Experiments with Peter Goos.

Typically, DOE is taught by rote using pre-packaged designs. This makes it hard for an engineer to see the practical applicability of DOE. In addition, most DOE texts devote most of their pages to analysis rather than the core principles of design. Students do not learn how to evaluate and compare prospective designs for their appropriateness to a specific problem. The textbooks (and professors) need to catch up with the software.

You can read the complete article at http://www.statisticsviews.com/details/feature/8510051/For-me-the-fun-of-working-with-scientists-and-engineers-is-helping-them-generate.html