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Business Intelligence with Mathematica and CDF

In this talk from the Wolfram Technology Conference, Shad Sharma demonstrates how to use Mathematica and CDF to glean knowledge from data to create opportunities that will drive your business in a profitable direction.

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Charles Pooh
In this video from Mathematica Experts Live: New in Mathematica 9, Charles Pooh shares several examples that highlight Mathematica's full suite of social network analysis functionality, including built-in access to social media data, as well as other graphs and networks enhancements.
Andy Ross
Andy Ross walks through Mathematica's complete suite of functionality for survival and reliability analysis as part of Mathematica Experts Live: New in Mathematica 9.
Oleksandr Pavlyk
In this Wolfram Technology Conference presentation, Oleksandr Pavlyk discusses Mathematica's support for stochastic calculus as well as the applications it enables.
Roger Germundsson
Roger Germundsson gives an overview of Mathematica 9's new comprehensive support for random processes and showcases many use cases within data science in this presentation from Mathematica Experts Live.
Charles Pooh, Roger Germundsson, Andy Ross, Zach Parcell
A panel of Mathematica experts discuss and demonstrate some of the new features of Mathematica 9 in the areas of social network analysis and data science.
Gosia Konwerska
Gosia Konwerska discusses some of the tools for time series analysis in Mathematica in this presentation from the Wolfram Technology Conference.
Shad Sharma
In this talk from the Wolfram Technology Conference, Shad Sharma demonstrates how to use Mathematica and CDF to glean knowledge from data to create opportunities that will drive your business in a profitable direction.
Joseph Hirl
In this talk from the Wolfram Technology Conference, Joseph Hirl, founder of Agilis Energy, explains Mathematica's role in the development of the company's dynamic energy analysis application, which it uses to help building owners and property managers reduce energy consumption and expenses.
James Rock
James Rock explains how he's using Bayes's Theorem to fit data to a parametric distribution with Mathematica in this talk from the Wolfram Technology Conference.
With Wolfram technologies, statistical analysis meets computation. This video features examples of how Mathematica, Wolfram|Alpha, CDF, and other Wolfram technologies can help in the areas of statistics, data analysis and mining, actuarial sciences, and more.
Nick Lariviere
See a number of data import topics and how Mathematica handles large datasets in real-world applications in this talk from the Wolfram Technology Conference 2011.
Charles Pooh
In this talk from the Wolfram Technology Conference 2011, Charles Pooh explains the background and basic concepts of network analysis with Mathematica and how it can be applied to social network analysis.
Paul Wellin
This Wolfram Mathematica Virtual Conference 2011 course uses application-driven examples to show how straightforward it is to get data into and out of Mathematica using its Import and Export functionality.
Roger Germundsson
Get an overview of Mathematica's new high-level functions for probability and statistics and learn how to work with its large collection of built-in distributions in this Wolfram Mathematica Virtual Conference 2011 course.
Charles Pooh
This course from the Wolfram Mathematica Virtual Conference 2011 offers a comprehensive look at the new graph and network features in Mathematica.
Brett Champion
Harness the power of Mathematica to interactively visualize your data. This Wolfram Mathematica Virtual Conference 2011 course features a series of examples that show how to create a rich interface for exploring data in depth.
Salvatore Mangano
Salvatore Mangano shares his progress on developing a way to use Mathematica with kdb+ to process large datasets for his work on Wall Street at the Wolfram Technology Conference 2010.
Robert Yerex
Robert Yerex, chief economist at Kronos and creator of the Retail Labor Index, explained how he uses Mathematica to develop effective multidimensional infographics about trends in employment and retail sales at the Wolfram Technology Conference 2010.
Mark Kotanchek
Evolved Analytics's DataModeler package for Mathematica was developed for industrial-strength data analysis and modeling. Developer Mark Kotanchek gives an overview at the Wolfram Technology Conference 2010.
Oleksandr Pavlyk
Oleksandr Pavlyk, one of the developers who worked on the probability and statistics functionality in Mathematica 8, gives an overview of new features at the Wolfram Technology Conference 2010.
Stuart Nettleton
Mathematica's productive programming language, data handling, and scalability has saved Stuart Nettleton, a senior lecturer at the University of Technology, Sydney, years of development time in his research. He describes the advantages in this video.
Roger Germundsson
Roger Germundsson, director of research and development at Wolfram Research, gives an overview of Mathematica 8's functionality for probability and statistics computations and visualizations.
Joel Drouillard
Research analyst Joel Drouillard uses Mathematica's data handling for an accurate picture and deeper understanding of how clients search for fixed income securities. He explains the advantages in this video. Includes Spanish audio.
Joel Drouillard
Research analyst Joel Drouillard uses Mathematica's data handling for an accurate picture and deeper understanding of how clients search for fixed income securities. He explains the advantages in this video.