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All Blog Posts Tagged 'analysis' (105)

What's the best database for an analyst?

Which database is best? The question, obviously, depends on what you want to use it for.

Best Database Search

I, like most analysts, want to use a database to warehouse, process, and manipulate data—and there’s no shortage of thoughtful commentary outlining the types of databases I should prefer. But these evaluations, which typically discuss databases in terms of …

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Added by Benn Stancil on December 9, 2015 at 9:00am — No Comments

Essentials of R: An NFL Example

Learning any new skill is hard. There are too many possibilities, and the goal seems massive and intimidating.

Enter the Pareto Principle.

The Pareto Principle, also known as the 80/20 rule, suggests that 80 percent of results come from 20 percent of efforts. It can be applied to everything from business to language, even learning how to use R.

With just a…

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Added by Divya Parmar on December 3, 2015 at 8:42am — No Comments

How PROC SQL and SAS® Macro Programming Made My Statistical Analysis Easy? A Case Study on Linear Regression

Life scientists collect similar type of data on daily basis. Statistical analysis of this data is often performed using SAS programming techniques. Programming for each dataset is a time consuming job. The objective of this paper is to show how SAS programs are created for systematic analysis of raw data to develop a linear regression model for prediction. Then to show how PROC SQL can be used to replace several data steps in the code. Finally to show how SAS macros are created on these…

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Added by Venu Perla PhD on October 10, 2015 at 9:00am — No Comments

Feature Engineering Tips for Data Scientists and Business Analysts

Most data scientists and statisticians agree that predictive modeling is both art and  science yet, relatively little to no  air time is given to describing the art. This post describes one piece of the art of modeling called feature engineering which expands the number of variables you have to build a model.  I offer  six ways to implement feature engineering and provide…

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Added by Patti Tillotson on October 1, 2015 at 5:42am — 2 Comments

Data Analysis in R

I have written about R in the past, and it is one of the hottest tools for data analysis today. To further demonstrate the power of R, I found click-through rate data…

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Added by Divya Parmar on September 28, 2015 at 6:05am — 1 Comment

The Data Analytics Landscape - A Crystal Ball

It wasn’t so long ago that the universe of data analytics companies was much easier to describe.  In the year 2000 there were some clearly defined categories of companies that were all engaged in some part of the data and analytics world, although data analytics was not really recognized as a discrete sector at the time.  Companies typically fit into a specific industry category, such as software (Oracle, Siebel, Epiphany), consulting (Accenture, Bain), data (credit bureaus, IMS, IRI); or a…

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Added by Gregory Thompson on September 21, 2015 at 7:35am — No Comments

How many analytics companies are there?

I set out a structure for the data analytics industry in a previous post.  This framework attempted to define a framework by which companies can be categorized and evaluated.  The framework defined a group of four sectors with a number of segments within each of those sectors.  On the one hand there is a group of global leaders that provide a comprehensive suite of analytics software and services to all-comers as well as a group of companies that have deep expertise and offerings focused on…

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Added by Gregory Thompson on September 21, 2015 at 7:30am — 2 Comments

The Business Translator - The Missing Link to Make Data Science Projects Stick

Why aren’t models and insights generated by many Data Science projects an instant hit with companies looking for data driven growth? They miss the Business Translator, an important role that nobody is currently recruiting for. Read on to learn about my proposal on how to make Data Science projects stick at your company and build an enduring business…

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Added by MARIUS MARCU on September 3, 2015 at 8:00am — No Comments

Data Science with Python & R: Dimensionality Reduction and Clustering

This tutorial was authored by Jose A Dianes, PhD.


Introduction

An important step in data analysis is data exploration and representation. In this tutorial we will see how by combining a technique called Principal Component Analysis (PCA) together with Cluster…

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Added by Codementor on September 1, 2015 at 4:32pm — No Comments

Two reasons why businesses need to pay heed to data analytics

Big Data is a big word in the tech world. One look at the highly popular hashtag #BigData reveals how it is gaining increasing credence. There’s a lot of talk about Big Data and how data analytics can help drive and turn around businesses. However, many people and companies are yet to come to terms with what exactly can Big Data deliver for their business.

I remember walking to a major shoe store brand outlet a few years ago. To my surprise, I had to look around and call for someone…

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Added by Kolabtree on August 24, 2015 at 6:00am — 2 Comments

How Data Science is influencing Buyer Behavior

The modern consumers have changed. With the advent of internet, and easy access of it, finding what they are looking for has become easier. Customers nowadays perform a lot of research before they purchase a product. They now expect to receive personalized service customized to fit their preferences, which also keeps continuously changing.  Converting a customer successfully requires a business know a lot about their buying behavior,…

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Added by Sameer Dhanrajani on July 10, 2015 at 2:37am — No Comments

Analysis about marriage equality in US, based on 25,000 tweets

The data is in and it's conclusive: America loved the marriage equality ruling - by Justin Tenuto

Depending on the sites you frequent and the social media you consume, you might think the Supreme Court's marriage equality ruling went over rather poorly. Maybe you spend a lot of time in the comments section of the National Review or have…

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Added by Leena Kamath on July 9, 2015 at 2:30pm — 2 Comments

Brand Image, Sentiment Analysis and Social Media

Analyzing sentiments is a very subjective exercise. The other day, I was talking about this to a colleague of mine about how you could mine sentiments and he made a very interesting comment based out of the experience that he has had with this concept :

He has his own software company which is a mid-sized software one and that which was doing fairly well and at one time, he tried to analyze…

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Added by Srinivasan Rakhunathan on July 6, 2015 at 7:29pm — 2 Comments

Which drink is more popular Tea, Coffee, Beer, Wine?

If number of searches were an indicator for gauging the popularity of a drink between Tea, Coffee, Beer and Wine then who wins the contest?

Let us analyze who wins the popularity contest by comparing the number of searches for each of the terms.

Data collection method: Each of the keywords Tea, Coffee, Beer and Wine were used with Google Trends to extract the weekly data and then plotted as below. Year 2015 is excluded due to partial…

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Added by Nilesh Jethwa on July 6, 2015 at 6:35am — 4 Comments

Teradata Aster: Principal Component Analysis and Unsupervised Machine Learning

Please watch my video on Aster's principal component analysis or PCA. I not only show how Aster performs this analytic but I attempt to explain how PCA works and explain eigenvectors and eigenvalues. Genre: Statistical Analysis (Unsupervised Learning) Background: A process used to emphasize variability and bring out strong patterns in a dataset. This variability is expressed by principal components; which are directions of highest degree of variance. The first several principal components…

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Added by John Thuma on June 29, 2015 at 2:31am — No Comments

Fantasy Sports Betting: The Next 'Big Thing' Thanks to Big Data

Many believe that Fantasy Sports Betting (FSB) is the next immensely popular online game, similar to the arrival of Poker a decade ago, and the incredible growth of the industry in the USA is the best proof of that.

Since betting on sporting events has been increasingly evident since the turn of the century and has become a global professional sports sector in itself, it makes sense to explore how it can merge together with FSB. Are they complementary products or is…

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Added by Jure Rejec on June 21, 2015 at 10:57pm — 1 Comment

What Are the Differences Between Quantitative and Qualitative Data Analysis?

Companies are fighting tooth and nail to stay ahead of the competition. Besides deploying aggressive market campaigns, they are focusing on increasing their dependency on research in order to understand market competition and trends. The changing market dynamics entails closer look at various aspects connected to the data.

The market research aims at giving business organizations information about customers or markets for making informed business decisions. This effort to collect…

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Added by Daina Martin on June 17, 2015 at 9:30pm — No Comments

The Institutional Response



When I talk about "the institutional response," I am referring to an increasingly common occurrence: a standardized or large-scale approach is supported, promoted, and applied by a particular institution - sometimes governmental in nature - premised on its apparent suitability or superiority to achieve desirable outcomes. I suspect that in recent years, there has been a push to get citizens to file their income tax returns electronically. I know that in Canada, it has become difficult…

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Added by Don Philip Faithful on May 16, 2015 at 8:48am — No Comments

Big Data, Meet Dynamic Semantic Publishing: Altering the Media & Publishing Landscape

How many times a day do we ourselves, or hear someone else, utter the phrase “Google it”? It’s hard to imagine that a phrase so ubiquitous and universally understood has been around for less than two decades. The word “Google” has become synonymous with online search, and when we think about why this, it’s because Google yields the most relevant, comprehensive results, quickly. Essentially, it has changed the way we find and interact with content and information.

We’ve seen the…

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Added by Tony Agresta on April 28, 2015 at 3:29am — No Comments

1,000 New Functions for Your Spreadsheet

We are excited to announce that all 1000+ functions on Blockspring can now be run from your spreadsheet.

You'll be able to create interactive data visualizations, run algorithms, pull data from the web, automate tweets and emails, call APIs, and more. In a nutshell, you get the full power of programming from the comfort of a spreadsheet.

To get started, install the …

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Added by Paul Katsen on April 2, 2015 at 9:00pm — No Comments

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