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Featured Blog Posts – January 2014 Archive (37)

Data Scientist versus Data Engineer

One of the main differences between a data scientist and a data engineer has to do with ETL versus DAD:

  • ETL (Extract/Load/Transform) is for data engineers, or sometimes data architects or database administrators (DBA).…
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Added by Vincent Granville on January 16, 2014 at 9:00am — 2 Comments

Data Scientist versus Data Architect

I recently had the following discussions with a number of data architects, in different communities, in particular (but not limited to) the TDWI group on LinkedIn. This is a summary of the discussion, featuring differences between data scientists and data architects, and how both can work together.

It…

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Added by Vincent Granville on January 16, 2014 at 9:00am — 2 Comments

Data Scientist versus Statistician

Many statisticians think that data science is about analyzing data, but it is more than that. Data science also involves implementing algorithms that process data automatically, to provide automated predictions and actions, such as:

  • Automated bidding systems…
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Added by Vincent Granville on January 16, 2014 at 9:00am — 2 Comments

Six categories of Data Scientists

We are now at 9 categories after a few updates. Just like there are a few categories of statisticians (biostatisticians, statisticians, econometricians, operations research specialists, actuaries) or business analysts (marketing-oriented, product-oriented, finance-oriented, etc.) we have different categories of data scientists. First, many data scientists have a job title different from data scientist, mine…

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Added by Vincent Granville on January 16, 2014 at 8:30am — 11 Comments

Markov Logic Networks for Better Decisions

One important goal of data science is to help decision makers make better decisions. Markov…

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Added by Michael Walker on January 15, 2014 at 12:24pm — 1 Comment

In-place Computing Model: for Big and Complex Data

As we've seen how in-place and in-memory work differently, today we are sharing more fundamentals of in-place computing model. This models was designed to solve "Big and Complex Data," - not just about size but more about the complexity. We see many analytic cases today incorporate…

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Added by Yuanjen Chen on January 13, 2014 at 12:30am — 2 Comments

10 ways for Banks to achieve greater profit and customer satisfaction

While Banks are getting more and more pressure from customer’s increasing demand, highly competitive market and strict regulations – in the current environment, understanding customer behavior, attitudes and requirements is more vital than ever for banks’ strategic thinking, operational planning and day-to-day customer treatment, according to Ernst & Young.

 

 

What Banks can do?

 

  1. Product Bundling and Relationship Pricing – Banks…
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Added by Mousumi Ghosh on January 9, 2014 at 1:01pm — No Comments

Data Science – the Foundation for Leading Banks

 

Now-a-days, Banking Industry is facing many challenges - rapidly changing consumer environment, rigorous regulatory guidelines, highly competitive environment, emergence of new channels to name a few.

 

With these great challenges come great…

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Added by Mousumi Ghosh on January 9, 2014 at 12:56pm — No Comments

Weekly digest - January 13

Featured Articles

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Added by Vincent Granville on January 8, 2014 at 11:00am — No Comments

The Data Science Association

Looks like a new association recently created. Their resource section (see extract below) looks very interesting.…

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Added by Vincent Granville on January 8, 2014 at 10:27am — No Comments

Data Science for Business: Interview with NYU Stern’s Foster Provost

Interesting article. I have the same point of view, had the same problem and did the same thing:  

Provost noticed during his data classes that there weren’t any books he could recommend to his MBA students that taught the fundamental principles. They were either too granular and focused on the math, or else too…

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Added by Vincent Granville on January 8, 2014 at 10:17am — No Comments

Viz - Does your water contain fluoride?

Here is the USA map visual by state showing what percentage of people received flouride in their water.

https://my.infocaptor.com/dash/mt.php?pa=fluoridation_statistics_52cac4f7e248c

Here is the data source …

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Added by Nilesh Jethwa on January 7, 2014 at 11:00am — No Comments

Text Analytics: ‘Mangalyaan’ as Seen on Twitter

Social media and interplanetary mission -- what do they have in common? Well, they have in common the Mars Orbiter Mission, also known as ‘Mangalyaan’. It was launched on 5th November by the Indian Space Research Organization (ISRO). It generated a lot of interest across the globe among millions of people on Social Media networks. In this blog, we analyze how Twitterati reacted to this news.



Asia was by far the most interested in the subject, covering 74% of all…

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Added by Ujjawal Bagaria on January 7, 2014 at 1:15am — 1 Comment

Big Data from Small Devices?

Predictions are in our DNA.  Millions of us live with them daily, from checking the weather to reading daily horoscopes.   When it comes to Big Data, the industry has shown no shortage of predictions for 2014.  In fact, you might have read about insights on women in data science, ambitions for Machine Learning or a vision for the consumerization of Advanced…

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Added by Bruno Aziza on January 6, 2014 at 2:30pm — 1 Comment

Boosting Algorithms for Better Predictions

Boosting is a supervised learning algorithm based on …

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Added by Michael Walker on January 1, 2014 at 11:30am — 1 Comment

Searching for Intangibles - Data Embodiment Using Protocols

I often find myself following missing-persons cases. I am interested in the reasoning behind the use of resources. There can be major deployments of capital during investigations. I tend to wonder which scenarios trigger more spending than others. I also recognize the visceral side of missing-persons cases. There are publicly accessible databases of missing persons in Canada, the United States, and I am certain many other countries. I imagine that it can be difficult to regard such…

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Added by Don Philip Faithful on January 1, 2014 at 7:12am — No Comments

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