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The Data Triangle: A Simple Framework For Data

In my latest video blog, I provide an overview of a simple framework that I developed to discuss data.  You can view it here:

http://themainstreamseer.blogspot.com/2014/01/the-data-triangle-simple-framework-for.html

Added by Venky Rao on January 11, 2014 at 7:21am — No 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

Jigsaw Academy Announces Predictions for the Analytics Industry in 2014

Originally posted on PR Web. Analytics and big data have influenced every aspect of business in both, traditional and non-traditional sectors across the world this year. While everyone waits to see if data analytics will continue to dominate business news, Jigsaw Academy, a world reputed analytics training academy announces their predictions for the industry…

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Added by Gaurav Vohra on January 6, 2014 at 8:33pm — No Comments

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

Master Data Management Solutions

What is MDM and what does it involve?

MDM aims at referencing, managing and synchronising all the data across a company (e.g. products and customers data) to ensure the liability and preciseness. By using a good data management, the company will be able to simplify its processes, to avoid overlap and to ensure the quality and usability of the data. MDM has impacts on different levels for a company.  On the business side, it affects speed,…

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Added by Michel Bruley on January 2, 2014 at 12:48am — No Comments

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

Last chapter of my data science book completed

Here's the content. Click here to check the full table of content. The final chapter was produced on time, and the expected publication date is still by March 2014. Publisher is Wiley.…

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Added by Vincent Granville on December 30, 2013 at 4:00pm — No Comments

Big data sets available for free

A few data sets are accessible from our data science apprenticeship web page.

  • Source code and data for our Big Data…
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Added by Vincent Granville on December 30, 2013 at 3:30pm — 4 Comments

What is Wrong with the Definition of Data Science

This is another provocative KDNuggets blog post: the data scientist is reduced to three circles, missing the biggest, most important one that encompasses all three of them.. 

3 Areas of Data Science: Statistics, Computing, and Database

My answer: This Venn diagram…

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Added by Vincent Granville on December 29, 2013 at 2:00pm — 2 Comments

6000 Companies Hiring Data Scientists

Search engines (Google, Microsoft), social networks (Twitter, Facebook, LinkedIn), financial institutions, Amazon, Apple, eBay, the health care industry, engineering companies (Boeing, Intel, Oil industry), retail analytics, mobile analytics, marketing agencies, data science vendors (for instance, Pivotal, Teradata, Tableau, SAS, Alpine Labs), environment, utilities government and defense routinely hire…

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Added by Vincent Granville on December 29, 2013 at 11:00am — No Comments

Facebook missing revenue because of poor data science integration

Facebook uses an algorithm to estimate the proportion of text in an image embedded into a Facebook ad.

The algorithm works well and it is well designed (it's not an issue of bad data science per se), but it results in 50% of my ads being rejected, see sample ad and rejection notice below. This is an example where better…

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Added by Vincent Granville on December 26, 2013 at 9:30am — 1 Comment

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