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Featured Blog Posts (6,459)

R + Hadoop = Data Analytics Heaven

 

Hadoop (MapReduce where code is turned into map and reduce jobs, and Hadoop runs the jobs) is the most well known technology used for "Big Data" because it allows an organization to store huge quantities of data at very low…

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Added by Michael Walker on November 7, 2012 at 3:57pm — No Comments

History of Analytics

Educating savvy and business-minded Indians on the importance of numbers and analytics in your business is like teaching the properties of sand to someone in the desert, but here is my effort anyway.

The simplest definition of analytics is "the science of analysis." However, a practical definition would be how an entity, e.g., a business, arrives at an optimal or realistic decision based on existing data. Business managers may choose to make decisions based on past experiences or…

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Added by AcademyForDecisionScience&Analyt on October 29, 2012 at 7:30pm — No Comments

Feature selection for efficient modeling

Feature selection, also known as variable selection, feature reduction, attribute selection or variable subset selection is the technique of selecting a subset of relevant features for building robust learning models (Source: Wikipedia). Data mining problems may involve hundreds, or even thousands, of variables that can potentially be used as inputs. As a result, a great deal of time and effort may be spent examining which variables to include in the model. Feature selection allows us to…
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Added by Venky Rao on November 3, 2012 at 10:03pm — 2 Comments

"Common Mistakes in practice" of analytics

  1. Ignoring to apply Commonsense and practical knowledge in using analytical tools in providing solutions to the given problem.
  2. The results are highly biased towards models (tools and techniques), but unable to realize the importance of the problem; and its basic sampling techniques.
  3. By Ignoring root causes (i.,e proper investigation, deep analysis of the customized problem), Analytics are providing mid-way solution; which is not adequate.
  4. Analytical…
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Added by Vijay Kumar on November 2, 2012 at 8:41pm — No Comments

5 Thing You Need to Know about Hadoop

Big Data is a term used to categorize an excessive amount of aggregated data. But, how do Data Miners manage all of this data? Hadoop is one of the popular tools that data analysts are using to store and mine immense volumes of data.

Here are 5 Things a Data Analyst should know about Hadoop:

1.      Hadoop utilizes parallel processing to store and process…

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Added by Ben Gold on November 2, 2012 at 9:21am — No Comments

Data Science Central Weekly Digest

Sponsored Listings

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Added by Vincent Granville on November 2, 2012 at 7:30am — No Comments

Yo-Yo Ma Social Scientist or Data Scientist

YO-YO MA – SOCIAL SCIENTIST

Stories
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Added by Zach Piester on November 1, 2012 at 3:02pm — No Comments

Assessing the Damage From Hurricane Sandy | New York Times

Includes great charts from FlowingData.com.

Five of New York’s 14 wastewater treatment plants are in the lowest-lying areas of the city, within the mandatory evacuation zone. When the plants get filled to capacity or flooded, sewage and stormwater mix and bypass the plant, flowing directly into New York’s waterways — and now, into flooded streets and buildings.…
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Added by Vincent Granville on October 31, 2012 at 9:53am — No Comments

Creating an Analytics Driven Culture - The ProMorphics Approach

Many decisions, big and small are made every day across various lines of business, executive offices and departments in your organization. How are these decisions made today in your organization? What drives the decision maker(s) to say ‘yes’ or ‘no’ for any particular decision? Let’s look at some of the key business challenges that many organizations are facing today where decision making is critical.…

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Added by Srini Pagidyala on October 31, 2012 at 8:00am — No Comments

Traditional BI vs Data Analytics Approach

See: …

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Added by Michael Walker on October 31, 2012 at 7:38am — 1 Comment

Top 16 articles for week ending October 24

From Data Science Central and AnalyticBridge

  1. Splunk for Hadoop – Real Time Analytics…
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Added by Vincent Granville on October 25, 2012 at 7:10pm — No Comments

Science of Analytics

Analytics is not just pure science; it is part art as well. Organizations that master the fine art of using analytical tools realize increased revenues and enjoy cost savings.

The scientific approach involves the following four key steps:

  • Observe/define the business problem: Observation is either an activity consisting of receiving knowledge, or the recording of data using scientific instruments. The term may also refer to any data collected during this…
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Added by AcademyForDecisionScience&Analyt on October 29, 2012 at 7:50pm — No Comments

Proposal for an Apprenticeship in Data Science

For motivated students who can learn on their own, here's an option that I would like to offer: the possibility to become an expert data scientist in less than six months, for a cost well below $10,000, and with guaranteed job opportunities.

The program would be open to everyone without screening, but the degree and the…

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Added by Vincent Granville on October 25, 2012 at 4:00pm — 34 Comments

Simplifying Big Data Analytics

Most analytics and data projects have started thinking of investing in big data initiatives.  With so much buzz about big data, organizations have started investing or are thinking of investing in Hadoop While it is great to stay on top of trends, it often ends up being another investment where the full benefit and potential is simply not realized. The learning curve is too steep and the time to implement too high. Current analytics resources lack the strong programming skills required to…

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Added by Rahul Deshmukh on October 24, 2012 at 8:58am — No Comments

Stop! Listen to what your data isn't saying

SILENCE ISN’T ALWAYS GOLDEN

“Determining the Right Actions across Information”

Published: Oct 14, 2012


When it comes to…
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Added by Zach Piester on October 15, 2012 at 5:30am — No Comments

The Perfect Storm - Missed Opportunites with Mobile and Big Weather Data

The Perfect Storm

BY BRIAN KISSLAK

As the ubiquity of mobile connectivity continues to grow, we seem to be missing an entire class of opportunity. The conditions for a “perfect storm” of circumstances have surrounded us for quite some time. So, why are the forecast…

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Added by Zach Piester on October 22, 2012 at 10:57am — No Comments

Analytics on Unstructured data – Twitter, Facebook and Social Media

Quoting Wikipedia: - Unstructured Data (or unstructured information) refers to information that either does not have a pre-defined data model and/or does not fit well into relational tables. Unstructured information is typically text-heavy, but may…

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Added by Gaurav Vohra on October 18, 2012 at 10:27pm — 1 Comment

An Introduction to Social Network Analysis

Social network analysis (SNA) is the methodical analysis of social networks.  Social network analysis views social relationships in terms of network theory, consisting of nodes (representing individual actors within the network) and ties (which represent relationships between the individuals).  These…

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Added by Venky Rao on October 14, 2012 at 2:53am — No Comments

The Emerging Data Stack and Mobile Access

 

The emerging  "Data Stack" or "Data Layer" is in full transition and can be viewed and defined many different ways. The ability to capture, analyze and learn from data generated at unprecedented scale, combined with…

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Added by Michael Walker on October 10, 2012 at 10:52am — No Comments

Top 17 articles for week ending October 9

From Data Science Central and AnalyticBridge

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Added by Vincent Granville on October 9, 2012 at 12:30pm — No Comments

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