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Applied Predictive Analytics: Principles and Techniques for the Professional Data Analyst by Dean Abbott

Applied Predictive Analytics: Principles and Techniques for the Professional Data Analyst Dean Abbott ebook
Page: 456
Format: pdf
ISBN: 9781118727966
Publisher: Wiley

IBM, one of the major By showing how its technology had a direct impact on the lives of Memphis citizens, IBM highlights the potential of predictive analytics and grounds the story in the lives and struggles of real people. Dec 1, 2013 - Deadline for Applying: January 31, 2014, but offers may be made earlier. As a result, the consultations are short, shallow, after the fact and pro forma. The Data and AT&T Labs statistics researchers are involved in many large-scale data analysis projects centered on analyzing data feeds from mobile phones, TV, and Internet data. Aug 5, 2013 - On the other hand, if you are a marketing scientist focused on predictive analytics, you see data discovery as a tool for trend identification, campaign analysis and possibly model refinement or self-service reporting and business intelligence tools for the chief marketing I am rooting for this progress to happen as fast as possible, and toward this end, I hope that next-generation data discovery professionals and vendors will keep several salient principles in mind. Based on my discussions In addition, certain techniques such as sentiment analysis have been faced with questions about low accuracy and predictive usefulness. The travel company then uses these patterns and correlations to improve its targeted marketing campaigns and develop new methods for marketing and sales. May 5, 2014 - Although everyone and their grandmother seems to be “into” big data, few people can provide a solid example of how large-scale data analysis can actually be used. May 7, 2014 - A statistician would have thought carefully about the sampling process, identified time series components to the spatial trend, investigated why the search terms were predictive and tried to understand what the likely reason that Google Flu The primary failing was a lack of sensitivity analysis to data analytic assumptions that any well-trained applied statisticians would have performed. Jul 17, 2013 - Prescriptive analytics provides sophisticated models used to recommend next steps or actions based on analysis across complex criteria and data (e.g., prescribing specific marketing or customer engagement strategies based on trade-offs). In this case In principle, it is relatively simple to swap one API for another, meaning low switching costs. Dec 30, 2013 - The technology is surfaced via advanced (semantic) search and navigation, data-mining and exploratory-analysis workbenches, and software tools designed for everyday business uses. Projects involve Technical consulting areas include a wide range of statistical modeling and analysis methods, design of experiments, product and process quality, time series forecasting, and Six Sigma training.