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“The Purple People” - The conundrum of finding business expertise among Data Scientists.

“The Purple People” - The conundrum of finding business expertise among Data Scientists.



Over the last several months, as I looked at addressing the business needs across various industries as someone leading a team of  Data Scientists, the question of domain expertise invariably cropped up.



Attending one meeting with a Pharmaceutical company, I was posed with the question of, "Have you done work in the areas of Rare Signal detection?" In a similar vein, while…

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Added by Somjit Amrit on September 10, 2013 at 10:47pm — No Comments

The Merging of Social Media, Big Data, Perpetually Connected Consumers and AI... Nirvana, or the End of Free-Will?

The Not So Distant Future

It’s Friday September 14, 2046, and you are at the airport getting an alert from your car that your 10,000 mile service is due, but something peculiar comes with your alert. It’s a question: your car asks you if you wish to have the service taken care of within the next 10 days, or after.

You respond “in the next 10 days.”

Your car’s smart system contacts the car dealer’s smart system and arranges everything, but first…

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Added by Tullio Siragusa on September 10, 2013 at 5:00am — 1 Comment

Selected articles from top news outlets

29 articles recently published:

  1. 6 Ways to Address Collinearity in Regression Models…
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Added by Vincent Granville on September 9, 2013 at 8:03pm — No Comments

Check out the evolving US natural gas consumption stack

check out the main consumers of Natural gas during summer and winter. check out how the pattern changes . i have used data from EIA, improved upon it by comparing it with other sources and presented in a very easy to see form

really interesting. with more of NG supply coming up

US Natural Gas consumption stack

Added by Parag Patil on September 9, 2013 at 5:07am — No Comments

Hadoop vs. NoSql vs. Sql vs. NewSql By Example

z-05

z-03

Click on the images for full view

Although Mainframe Hierarchical Databases are very much alive today, The Relational Databases (RDBMS) (SQL) have dominated the Database market, and they have done a lot of good. The reason the money…

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Added by Fari Payandeh on September 8, 2013 at 7:09pm — 13 Comments

Can you win a Facebook data science job? Take the test!

Facebook has launched a Kaggle competition to hire a data scientist:

“This competition tests your text skills on a large dataset from the Stack Exchange sites. The task is to predict the tags (a.k.a. keywords, topics,…

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Added by Vincent Granville on September 5, 2013 at 7:00pm — No Comments

What will America pay for H1-B Jobs?

NOTE: H1b is a Visa program where people from outside countries are allowed to work with USA companies. The visa is valid for a 3 year period and is extensible for another 3 years. 

United States Department of Labor publishes quarterly data of H1-B and other visa applications. Below is an analysis and visualization of the same data.

What is in the Data…

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Added by Nilesh Jethwa on September 5, 2013 at 12:20pm — 1 Comment

Tableau and Data wrangler have a child

Hi - we'd love to get your feedback on a new product oinoi we're building.



We do analytics work for mobile carriers in Africa. Our work consists in building advanced dashboards. We do it with Tableau and we love the tool. However, building nice visualizations requires a long & tedious work of getting the data into shape (merge data sources, clean, aggregate, clean, format, etc). We haven't found yet a tool to make…

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Added by Antoine Bruyns on September 5, 2013 at 9:34am — 3 Comments

Using Big Data to Sell to Individuals Instead of Stereotypes

One of the weaknesses of marketing has always been overgeneralization. Marketers have forever relied on grouping people into categories based on common characteristics, like age, gender, or household income, and then treating all of those people as the same — also known as stereotyping.

The problem is that no two people are actually the same, let alone a whole group of them.  However usually they’re similar enough that you can get away with grouping them…

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Added by Josh Brown on September 5, 2013 at 7:57am — No Comments

The Modern Data Architecture - DSC Webinar

Predictive Analytics with Revolution Analytics and Hortonworks, THE Modern Data Architecture

Join us for a Webinar on September 24

Space is limited. …
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Added by Vincent Granville on September 5, 2013 at 6:30am — No Comments

Marrying computer science, statistics and domain expertize

I was reading an article written by Google scientists about how to predict ad click based on user query and the text ad. The article, written by a team of Google scientists - surely experts from top universities - focuses on the very large number of metrics in the model…

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Added by Vincent Granville on September 4, 2013 at 8:00pm — 9 Comments

Q&A: Thinking of Data as Information Capital

Thinking of data as information capital and treating it much as a company treats other kinds of capital (such as financial and human) can get leaders thinking about information in a different way.

Guest blog post by Linda Briggs. TDWI article originally published…

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Added by Vincent Granville on September 4, 2013 at 10:29am — No Comments

ERP Tools, Enterprise Data Warehouse and Warranty Management

For many years, manufacturers have been trying to outperform the competition by offering up to five warranties on a car, for example, overusing the warranty argument in their marketing. Moreover, warranty costs have gone through the roof and repeated callbacks have ended up tarnishing the image of many companies. Therefore, it is obvious that their favorite integrated management software is not going to solve the problem, as it requires the integration of data from the entire company and all…

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Added by Michel Bruley on September 3, 2013 at 10:00pm — No Comments

Hadoop 2 Helps Systems Integration



Apache Hadoop announced a beta release for Hadoop 2. The Hadoop-2.1.0-beta…

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Added by Michael Walker on September 3, 2013 at 9:31pm — No Comments

Insight into Forums – Using Big Data to engage customers, preserve your brand

When was the last time your car made a funny noise or ran a little hotter than usual? Chances are, you quickly consulted a web browser for answers and found your way to a forum full of similar consumers and car enthusiasts, all eager to get answers to questions and argue over best solutions. A few pages through the conversation and you probably end up with a fairly educated guess as to whether a trip to a mechanic, or a car parts dealer, is in order.

Forums like the one mentioned are…

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Added by Radhika Subramanian on September 3, 2013 at 5:00am — No Comments

The Best Of Open Source For Big Data

Open Source tools for Big Data

Click on the image for full view

It was not easy to select a few out of many Open Source projects. My objective was to choose the ones that fit Big Data’s needs most. What has changed in the world of Open Source is that the big players have become stakeholders; IBM’s alliance with Cloud Foundry, Microsoft providing a…

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Added by Fari Payandeh on September 1, 2013 at 5:38am — No Comments

How to eliminate a trillion dollars in healthcare costs

Over a five year time period, based on better analytics, and where everybody win (except drug companies, doctors and hospitals).

Most analytic models to reduce health care costs are focusing on having insurance companies,…

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Added by Vincent Granville on August 29, 2013 at 9:00pm — 18 Comments

What is a data warehouse? How do we get Business Intelligence?

Understanding how data converts from data to information to intelligence can be seen in the flow across the databases in an enterprise. What is a data warehouse? How do we get Business Intelligence? In this video I explain the high level view of how large corporations like Dell evolve their data to the front-end BI applications.

#iwork4Dell

 

Added by Mitchell A. Sanders on August 27, 2013 at 4:30pm — No Comments

Top Languages for analytics, data mining, data science

Very interesting study published by KDNuggets. Here are the highlights:

The most popular languages continue to be R (used by 61% of KDnuggets readers), Python (39%), and SQL (37%). SAS is stable at around 20%. The highest growth was for Pig/Hive/Hadoop-based languages, R, and SQL, while Perl, C/C++, and Unix tools…

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Added by Vincent Granville on August 27, 2013 at 4:30pm — 4 Comments

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