Online Business Intelligence Fall 2022

Introduction This final blog summarizes the work that we have done during the past eight weeks. The course introduced Business Intelligence techniques, and we gained exposure to analytical tools that people in everyday organizations use for decision-making. The class was divided into four modules and the assignments for the modules maps nicely into the six learning outcomes for the course. I’ve listed each one below and described how my experience with the assignment in this class helped to achieve the intended learning for the class. Learning Outcome 1 Articulate the Characteristics of Big Data beyond the 5 Vs and explain why it is causing a paradigm shift. | I remember three Vs: volume (amount of data), velocity (speed of data), and variety (range of data sources and types). The paradigm shift relates to the datafication and how people are leaving their digital fingerprints in everything. It’s happening so rapidly – feedback is immediate. A mishap on social media can go viral within

  Introduction Whenever I hear about networks, I immediately think about a nature video that I saw on mycelial networks and their symbiotic relationships. It is the plant version of social networks. It's so enthralling that Star Trek has an episode of traversing through the fungal network--a concept encompassing beyond the 4IR fusion of physical, digital, and biological spheres to include navigational travel?!?!  Here is the  YouTube video  for anyone that wants to take a quick break and understand how to get an all access travel pass through "the network." About Module 3 Module 3 starts with an Intro to Networks, then details to Network Visualizations and Quantitative Network Metrics. I assume Community Detect and Interpretation is next. Lecture 11 begins with the understanding that networks consist of nodes (vertices) and relationships (edges), which can be single or two mode. Edges can be weighted/unweighted and/or directed/undirected. And social media is based on ego

Introduction This blog covers topics discussed during week five, which relates to web analytics, Google Analytics, and web metrics. Complementing materials and readings will be included in each section as well as my thoughts on how they relate to lectures and assignment three. Choosing an Organization The organization that I chose to investigate was the Center for the Integration of Research, Teaching, and Learning, or CIRTL ( pronounced as  sir-tuhl ). It doesn't have its own site, rather it has 16 subdomains on the Academic Affairs website. I used a custom dashboard to look at just the CIRTL pages and also used Google Analytics to see the relationship CIRTL has with its parent organization. The CIRTL program is relatively new to UArizona (in its second year) so it was a good one to pick to see progress between year one and year two.  Google Analytics I build websites and am a little familiar with Google Analytics. I've never used Adwords before because my websites are for non