Take a look at the fascinating video of how Tesla sees the traffic environment. This is an example of an extremely sophisticated unstructured data analysis in real time.
The following video provides a great introduction to doing pivot tables in Excel:
Here is a simple introduction to the concepts behind MapReduce and Hadoop Big Data technologies.
Note that the products themselves are less interesting than the idea of how we can process huge amounts of data effectively.
Wikipedia has fairly good articles on KPIs (https://en.wikipedia.org/wiki/Performance_indicator) and the SMART criteria (https://en.wikipedia.org/wiki/SMART_criteria).
This video demonstrates differences between a relational database and an Excel spreadsheet for storing data:
Here are some of my favorite horror stories how things went wrong due to bad data:
(A blog post with examples – including the classic NASA mishap – of how things go wrong when people get data types wrong.)
Differences between infographics and data visualizations are discussed in this blog post:
We use Piktochart to create an infographic on MIS0855, but there a numerous other web-based tools available:
An old but still relevant TED talk by Eli Pariser on how the web is being inconspicuously personalized for individual tastes creating bubbles of like-minded people.
…and its critique:
…and a more recent take on the topic:
A short summary of important data science concepts we discuss during the course in Aleksi Aaltonen’s blog:
It’s just 2 min read and gives you an overview of many important concepts we will discuss during the semester.