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[ COVER OF THE WEEK ]
Data Mining Source
[ AnalyticsWeek BYTES]
>> Which Customer Loyalty Metric is the Best? My Interview with Jeff Olsen of Allegiance Radio by bobehayes
>> For Musicians and Songwriters, Streaming Creates Big Data Challenge by analyticsweekpick
>> 3 Emerging Big Data Careers in an IoT-Focused World by kmartin
[ FEATURED COURSE]
Process Mining: Data science in Action
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[ FEATURED READ]
Storytelling with Data: A Data Visualization Guide for Business Professionals
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[ TIPS & TRICKS OF THE WEEK]
Data Have Meaning
We live in a Big Data world in which everything is quantified. While the emphasis of Big Data has been focused on distinguishing the three characteristics of data (the infamous three Vs), we need to be cognizant of the fact that data have meaning. That is, the numbers in your data represent something of interest, an outcome that is important to your business. The meaning of those numbers is about the veracity of your data.
[ DATA SCIENCE Q&A]
Q:When you sample, what bias are you inflicting?
A: Selection bias:
– An online survey about computer use is likely to attract people more interested in technology than in typical
Under coverage bias:
– Sample too few observations from a segment of population
Survivorship bias:
– Observations at the end of the study are a non-random set of those present at the beginning of the investigation
– In finance and economics: the tendency for failed companies to be excluded from performance studies because they no longer exist
Source
[ VIDEO OF THE WEEK]
@RCKashyap @Cylance on State of Security & Technologist Mindset #FutureOfData #Podcast
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[ QUOTE OF THE WEEK]
The temptation to form premature theories upon insufficient data is the bane of our profession. – Sherlock Holmes
[ PODCAST OF THE WEEK]
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[ FACT OF THE WEEK]
29 percent report that their marketing departments have ‘too little or no customer/consumer data.’ When data is collected by marketers, it is often not appropriate to real-time decision making.