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May 2014 Blog Posts (12)

Learning from Data, Big and Small, using Characterizations

In a previous article, we defined data charaterization as a “methodology for generating descriptive parameters that describe the behavior and characteristics of a data item, for use in any unsupervised learning algorithm to find features, clusters, patterns, and trends in the data without the bias of incorporating class…


Added by Kirk Borne on May 31, 2014 at 11:30am — No Comments

What difficulties SQL have in OLAP

1. What OLAP We Need Indeed?

Category: Model

OLAP is an important constituent part of BI(business intelligence).

Understood literally, OLAP is online analytical processing, that is, users conduct analytical operation on real-time business data.

But, currently the concept of OLAP is seriously narrowed, and only it refers to operations such as conducting drilling,…


Added by Jessica May on May 27, 2014 at 8:00pm — No Comments

The Greatest Database Ever...

A story that has been making the news recently and got me thinking about the widening reach of data science involves a rather shadowy US organisation called the National Security Agency (NSA).  These guys have a mandate to gather data that enemies of the state would like to keep secret.  Unfortunately the NSA have been rather over-zealous in their pursuit of information and have wound up gathering data, that was supposed to be private, from the likes of Google, Facebook, Microsoft, Skype,…


Added by Angus Urquhart on May 27, 2014 at 10:10am — 1 Comment

2020 – US Banks are betting big on Analytics

A recent study by Accenture talks about the future state of banking in US by 2020. Thankfully, the study reports, US banks have emerged from the travails of a battered economy. Two important findings from the study stand out.

  1. Banks face increased competition in coming years
  2. Emergence of a core group of full service banks that will be the backbone of US Banking system.

While we can debate the findings, the current activity stream at banks does indicate that…


Added by Naagesh Padmanaban on May 25, 2014 at 9:00pm — No Comments

Business Analyst profile a generic view.

Business Analyst is now what organizations are talking about these days. Do we really understand what business analyst does; in my opinion business may understand Business Analytics however person responsible for it may not understand it in full at any level across all organizational domain. Let me sight few examples across domains to explain it.

1)    Human Resource Team during Business Analyst recruitment

  • Consulting with Customers may be internal or…

Added by Vishal Sharma on May 21, 2014 at 5:30am — 2 Comments

Introduction to business analytics online lecture

Sharing a lecture introducing business analytics to agroup of MBA and MIS students at Erasmus Rotterdam School of Management:


Part 1 of 4:

Part 2 of 4: …


Added by Scott Mongeau on May 19, 2014 at 9:37am — No Comments

Big Data Lessons from the NFL Draft

The great myth of Big Data is that it’s defining characteristic is size. In spite of the warnings about Variety and Velocity, in addition to every other V-word out there, the world has been obsessively focused on the collection of bigger and bigger data. But the key to extracting valuable information from data isn’t actually the size of the database, but your ability to make the most out of the data that you have.

In the NFL, scouts don’t simply identify talent by…


Added by Radhika Subramanian on May 12, 2014 at 1:00pm — No Comments

Time Series Analysis using R-Forecast package

In today’s blog post, we shall look into time series analysis using R package – forecast. Objective of the post will be explaining the different methods available in forecast package which can be applied while dealing with time series analysis/forecasting.

What is Time Series?

A time series is a collection of observations of well-defined data items…


Added by suresh kumar Gorakala on May 9, 2014 at 2:23am — 3 Comments

Why Banks Like JPMorgan Chase & Co. Should Be Avoided

JPMorgan Chase & Co. (NYSE:JPM) is trading slightly higher on the day at $54.30 +0.25 (0.46%). However, over the past month the stock has fallen from $61.50 to its current level. This is a drop of 11.6%.  JPMorgan Chase & Co. has fallen sharply while the Dow Jones Industrial Average and S&P 500 have stayed near their all-time highs. This shows major relative weakness. Investors are starting to wonder if there is something fundamentally wrong with JPMorgan Chase?

This issue…


Added by Nicholas Santiago on May 8, 2014 at 10:36am — No Comments

A Statistician's View on Data and Data Science

As an Applied Statistician with Bayesian background  ["Bayesian Inference in Life-Testing," Ph.D. 1968, Dept. of Math., Indian Institute of Technology, Kharagpur , India] I would like to add some views in this topic of Data and Data Science. Living and working in USA for last few decades as given me some experience and exposures to different phases of data development. Earlier there was not much available Data and we had to go after it…


Added by sumedha sengupta on May 7, 2014 at 1:23pm — 1 Comment

Why the human species hasn't produced trillionaires yet?

I just did a quick computation. Let's say that you are born in extreme poverty, and your net worth (yearly revenue and assets) is just $1 by the time you reach 20 years old. Let's say you think and work (on average) 1% faster than the average guy - in short producing just 1% more valuable output than the average guy, each day. Let's say that you leverage half of this advantage for your own growth (to produce compound return), and the other half for your quality of life (nice restaurants and…


Added by Vincent Granville on May 5, 2014 at 9:30pm — 8 Comments

Personal Big Data Trails

Data is everywhere (that's indisputable). What I didn't realize was how often--and how subtly--personal big trails get created every day. 

Case in point, I went to Kohl's to use up a free $10 rewards coupon card last weekend. While I was checking out, the cashier asked me for my phone number. I paused. I didn't understand why he needed…


Added by Mar on May 5, 2014 at 8:49pm — No Comments

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