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Allrecipes: Growing the World's Largest Digital Food Brand Through Data Visualization
Allrecipes, the world's largest digital food brand, received more than a billion visits annually from home cooks around the world, across PCs, Smartphones and tablets. Find out how Allrecipes is leveraging data visualization to bring real-time digital food behavior insights to their internal teams, the media, technology partners and the...
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7 Reasons to Combine SPSS Statistics and R
According to the Rexer survey, R is the analytic software of choice for data scientists, business analysts, and data miners in the corporate world. Despite R's popularity, adoption of R has lagged due to a few limitations like: collaboration & deployment - R makes sharing work among an analyst team...
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The Beautiful Science of Data Visualization
Why does a collection of bars, lines, colors, and boxes become surprisingly powerful and meaningful? How does fluid interaction with data views multiply the intelligence? Three decades of research into the beautiful science of data visualization explain why history have converged at this moment, and why interactive data visualization has...
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The Science of Segmentation: What Questions Should You Be Asking Your Data?
Enterprise companies starting the transformation into a data-driven organization often wonder where to start. Companies have traditionally collected large amounts of data from sources such as operational systems. With the rise of big data, big data technologies and Internet of Things (IoT), additional sources - such as sensor readings and...
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How To Work with Large Datasets to Build Predictive Models
In this podcast, the speakers will use a case study of NY taxi data to discuss and cover how: azure provides the infrastructure for storing and manipulating large data sets, Azure ML provides an algorithm (learning with counts) to train a predictive model with large data sets and to create...
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Data Lakes, Reservoirs, and Swamps: A Data Science and Engineering Perspective
In the fast paced and ever changing landscape of Hadoop based data lakes, there tends to be varying definitions of what constitutes a data lake and how they should be used for business benefit - especially in leveraging data science. In today's webcast, think big will share their perspective on...
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Predictive Analytics - Rethinking How You Process Your Big Data
The tools that are coming to the big data market seem to reflect this quick descriptor. One such tool which provides high-performance business and quantitative analysts the ability to construct process flows visually and interactively - from data extraction and preparation to modeling and model deployment - is data mining...
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Better Risk Management for Financial Services with RedHat and Apache Hadoop
The risk management systems that each firm operates must respond not only to new reporting requirements but also handle ever-growing amounts of data to perform more comprehensive analysis. Most existing systems are not inherently designed to scale thus, many are inflexible and also expensive to operate.
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Organizations today are overly familiar with the complicated and often painful nature of handling the flood of data involved in their analytics process. It's likely that the users will need multiple tools to ingest, clean and merge their data before they can even start to build their models and analyze...
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Avoiding Data Pitfalls - Gaps between Data & Reality
Have the users ever been fooled by data? In this podcast, the speakers will cover common pitfalls that anyone who works with data has fallen into. Find out what these pitfalls look like and how to avoid them. The pitfalls range from philosophical to technical and from analytical to visual.
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