Online Business Intelligence Fall 2023

When we started our work on this class 8 weeks ago, I was apprehensive and also curious to learn about big data and business intelligence. My prior knowledge was limited and upon self reflection, I was apprehensive about the idea of big data collecting, measuring and inferring information on social media likes, tweets, heart rate data, virology, shopping habits, etc. I tend to approach and review technology with an information security mindset.  However, after completing the class and reviewing the different ways in which big data can be used and seeing first-hand  the anonymization of such data, I now realize how such data can be a boon and expands the ways in which we can analyze data. As we learned in week 4 with dashboard designs and readings such as the Top 5 Most Influential visualizations of all time, visualizing data can tell a more full and rich story and inputting crucial data into a dashboard in a one page display can help get quick big picture gleanings from a quic...

  I found the lectures and readings on networks and network visualizations interesting. I especially liked in lecture 11 how Professor Ram described the world as a complex system full of networks. I also enjoyed what Albert Laszlo Barabasi had to say about networks in relation to the human body and how if we understand not only all of the parts of the human body or human genome, but also understand where everything goes (by mapping everything out via network science), then we can repair persons with ailing diseases etc. because we will know know both what part is needed and where it goes. We can diagnose and fix the problem just as a mechanic does. In lecture 11, I liked learning about nodes, edges, directed and undirected relationships, single mode, and two mode networks. It was helpful seeing everyday things like a person’s relationship with another person or a city’s relation to another city to really cement the idea that you really can map out all sorts of things as a network....

 Hello and thank you in advance for reading my blog post on Module 2. In Module 2, we covered web analytics and Google Analytics. I found these topics to be fascinating and benefitted from the Sun Microsystems reading on web metrics, the web analytics definitions reading, the Google Analytics tutorial reading, and the 19 differences reading. It was really interesting to start with the Sun Microsystems reading on web metrics showing all the different ways to configure your analytics tracking and then I capped the week off with completing Assignment III using Google Analytics where there are many default metrics already in place for off the shelf capabilities. In the Sun Microsystems reading, the author/presenter, Paul Strupp Ph.D, breaks down the different cost structures for monitoring web metrics at the time. I'm not positive of the date of the presentation but I'm assuming it's pre-Google Analytics. I wonder what the true cost of using Google Analytics truly is. I underst...