By Matt Holzapfel, procurement/sourcing product lead at Tamr
The business case for almost every merger and acquisition includes an assumption of significant cost savings. Unfortunately, achieving these cost savings is often harder than anticipated, which is one reason why 70-90% of mergers and acquisitions fail.
These numbers highlight the challenge of merging the… Continue
Added by Jason Bailey on January 18, 2016 at 2:29pm —
If you want quickly to get started with data analysis, here is my advise on free software programs that I use every day for data analysis, statistics and data mining.
R-package - a software for statistical computing written in C. Script oriented.
- Pros: widely used, simple, extensive documentation.
- Cons: less options for graphics compared to competitors, no…
Added by jwork.ORG on December 23, 2015 at 3:30pm —
Which database is best? The question, obviously, depends on what you want to use it for.
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 … Continue
Added by Benn Stancil on December 9, 2015 at 9:00am —
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… Continue
Added by Divya Parmar on December 3, 2015 at 8:42am —
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… Continue
Added by Venu Perla PhD on October 10, 2015 at 9:00am —
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… Continue
Added by Patti Tillotson on October 1, 2015 at 5:42am —
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… Continue
Added by Divya Parmar on September 28, 2015 at 6:05am —
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… Continue
Added by Gregory Thompson on September 21, 2015 at 7:35am —
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… Continue
Added by Gregory Thompson on September 21, 2015 at 7:30am —
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… Continue
Added by MARIUS MARCU on September 3, 2015 at 8:00am —
This tutorial was authored by Jose A Dianes, PhD.
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… Continue
Added by Codementor on September 1, 2015 at 4:32pm —
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… Continue
Added by Kolabtree on August 24, 2015 at 6:00am —
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,… Continue
Added by Sameer Dhanrajani on July 10, 2015 at 2:37am —
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… Continue
Added by Leena Kamath on July 9, 2015 at 2:30pm —
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…
Added by Srinivasan Rakhunathan on July 6, 2015 at 7:29pm —
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… Continue
Added by Nilesh Jethwa on July 6, 2015 at 6:35am —
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… Continue
Added by John Thuma on June 29, 2015 at 2:31am —
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… Continue
Added by Jure Rejec on June 21, 2015 at 10:57pm —
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… Continue
Added by Daina Martin on June 17, 2015 at 9:30pm —
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…
Added by Don Philip Faithful on May 16, 2015 at 8:48am —