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All Blog Posts Tagged 'Data' (103)

Analytics: The gap is widening Bit by Bit

A growing gap between those enterprises that, see the value of business analytics and are transforming themselves to take advantage of these new found opportunities, and those that have yet to embrace them. Businesses today have a plethora of data available from an increasing number of sources. While some appreciate the potential benefits others face difficulties using data beyond hindsight, to actionable insights or further - foresight. Read these books to learn more!…

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Added by Patrick C. Walker, MPA on August 31, 2013 at 2:30pm — No Comments

An indispensable Python : Data sourcing to Data science.

Data analysis echo system has grown all the way from SQL's to NoSQL and from Excel analysis to Visualization. Today, we are in scarceness of the resources to process ALL (You better understand what i mean by ALL) kind of data that is coming to enterprise. Data goes through profiling, formatting, munging or cleansing, pruning, transformation steps to analytics and predictive modeling. Interestingly, there is no one tool proved to be an effective solution to run…

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Added by Manish Bhoge on August 27, 2013 at 11:00am — 1 Comment

Who Has The Largest Predictive Data Analytics?

With vast amount of data that currently available, who should be able to predict the future the most? Should it be Google? Facebook? Twitter? Google claim to be able to predict the flu epidemic in the future, and other things. Is it because Google has the biggest data in this world? Or it is not?

If big data can predict the future, then those who have the biggest data are the ones who can better predict…

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Added by Eka Aulia on August 12, 2013 at 6:00pm — 5 Comments

Today's Big Data is Not Yesterday's Big Data

The on-going Big Data media hype stirs up a lot of passionate voices. There are naysayers ("it is nothing new"), doomsayers ("it will disrupt everything"), and soothsayers…

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Added by Kirk Borne on July 31, 2013 at 1:00pm — 4 Comments

Statistical Thinking is not science fiction, but a data science necessity

Over 100 years ago, the great science fiction writer H. G. Wells was credited with saying"Statistical thinking will one day be as necessary for efficient citizenship as the ability to read or write." It is clear that this statement is probably more true today than ever, as Big Data and Analytics are paraded before every aspect…

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Added by Kirk Borne on July 29, 2013 at 9:00am — 3 Comments

NIST Big Data Working Group Is Open to Participants

The US National Institute of Standards and Technology (NIST) kicked off their Big Data Working Group on June 19th 2013.  The sessions have now been broken down into subgroups for Definitions, Taxonomies, Reference Architecture, and Technology Roadmap.  The charter for the working group:

NIST is leading the development of a Big Data Technology Roadmap. This roadmap will define and prioritize requirements for interoperabilityreusability, and extendibility for…

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Added by Donald Krapohl on July 3, 2013 at 8:58am — No Comments

Which are the data products one can curate for AIRLINE industry ?

Here is a crisp info graphic which communicates the top 5 data products which can be $ denting in the Airline industry

http://blog.fluturasolutions.com/2013/06/which-data-products-can-make-dent-in.html

1. Property reccomender

2. Word of mouth modeler

3, Funnel friction Spotter

4. Traveller churn scorer

5. Sentiment Analyzer

Added by derick on June 21, 2013 at 12:43pm — 1 Comment

7 Habits of Highly Successful Big Data Pioneers

The Big Data age is dawning. Just like every major emerging opportunity that presents an unprecedented competitive advantage across sectors, we might not know the ultimate outcome with this journey at this stage. But everyone wants to know: who will race to the finish line and come out on top? Whether you're the turtle or the hare, it's important to observe and manage the signs presented to you on the road to victory. Here's a collection of differentiators that will lead to…

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Added by Radhika Subramanian on June 4, 2013 at 11:02am — No Comments

Predicting the reality show winner using big data

I wonder, using big data and predictive analytic, can we predict the winner of x-factor or American Idols from the start of their audition performance? I think we might have a good chance to predict the winner right away.

What if we could only have the information from their first performance, what should be the variables to be used in the predictive model? Here’s from what I could think of:

  • The voice: quantified timbre, energy and rhythm
  • Song…
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Added by Eka Aulia on April 29, 2013 at 9:25am — No Comments

Guest Post: Big Data in Banking

John Gower is an analyst for NerdWallet, a website analyzing data from thousands of financial institutions to help consumers find the best cd rates, checking accounts, credit cards and more. He wrote a great article for our blog about Big Data in Banking. 

Read his blog here: http://emcien.com/guest-post-big-data-in-banking/

Here's an…

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Added by Radhika Subramanian on March 22, 2013 at 7:47am — No Comments

Business Intelligence ROI Remains Elusive; A next-generation approach to “ease of use” may hold the answer

On March 6th, 2013 the Fitzgerald Analytics team attended the quarterly symposium of the TDWI NYC Tri-State Chapter.  …

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Added by Jaime Fitzgerald on March 20, 2013 at 11:30am — No Comments

Big Data and Social CRM

Social CRM is a business strategy, supported by a technology platform, business rules, workflow, processes and social characteristics, designed to engage the customer in a collaborative conversation in order to provide mutually beneficial value in a trusted and transparent business environment. It's the company's response to the customer ownership of the conversation.

 

Facing this topic I have made a personal research, and realize a synthesis, which has helped me to clarify…

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Added by Michel Bruley on March 18, 2013 at 6:13am — No Comments

Big Data Marketing Attribution: Valuing your Marketing investments

 

Today’s organizations are challenged to gain insight into most productive marketing and sales actions across multiple channels they use. Doing this requires multi-channel marketing attribution approach.

 

Facing this topic I have made a personal research, and realize a synthesis, which has helped me to clarify some ideas. The attached presentation does not intend to be exhaustive on the subject, but could perhaps bring you some useful insights:  …

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Added by Michel Bruley on February 22, 2013 at 3:03am — No Comments

Big Data : How do you run capacity planning ?

Most of Datawarehouse folks are very much accustomed with the term "Capacity Planning", Read Inmon. This is widely used process for DBA's and Datawarehouse Architects. In an typical project of data management and warehouse wide variety of audience is involved to drive the capacity planning. It involves everyone from Business Analyst to Architect to…

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Added by Manish Bhoge on February 15, 2013 at 2:46am — No Comments

Excerpt from Too Big to Ignore

The following is excerpted from Too Big to Ignore: The Business Case for Big Data. John Wiley & Sons will be publishing this in early March 2013.

Much like the baseball revolution pioneered by Billy Beane, car insurance today is undergoing a fundamental transformation. Just ask Joseph Tucci. As the CEO at data storage behemoth EMC Corporation, he knows a thing or 30…

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Added by Phil Simon on February 12, 2013 at 12:34pm — 4 Comments

Assessing ability to "sight-read" data; EDA

If you've ever learned to play an instrument, at some point an instructor will give you a sheet of music that you've never seen before and ask you to play it.  It is a very objective way to assess one's skill level and the act of playing unseen music is called sight reading.

Wikipedia on Sight Reading

I've often wanted to use this technique to quantify a candidate's ability to analyze data.  We…

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Added by John Wallace on December 20, 2012 at 1:23pm — 1 Comment

Modeling and visualization of networks for Marketing purpose

A Social Network is a theoretical construction useful in the social sciences to study social relationships.

 

Social network analysis refers to methods used to analyze social networks, social structures made up of individuals or organizations, which are connected by one or more specific types of interdependency, such as friendship, common interest, financial exchange, or relationships of beliefs, etc.…

 

Facing this new domain I have make a personal…

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Added by Michel Bruley on December 17, 2012 at 3:05am — No Comments

Sentiment Analysis Aims to Sort Customers

Big amount of information is available in textual form in databases or online sources, and for many enterprise functions (marketing, maintenance, finance, etc.) represents a huge opportunity to improve their business knowledge.

 

Sentiment analysis or opinion mining refers to the application of language processing to identify and extract subjective information in source materials. Generally speaking, sentiment analysis aims to determine the attitude of a speaker or a writer…

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Added by Michel Bruley on November 21, 2012 at 1:41am — No Comments

Data as Strategic Asset

Transforming into a data-driven organization - turning information into actionable insights is a three (3 ) part strategy:



• Technology – build a modern BI/DW architecture & analytics ecosystem with…

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Added by Michael Walker on November 14, 2012 at 11:20am — No Comments

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…

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Added by Michael Walker on November 7, 2012 at 5:55pm — No Comments

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