Online Business Intelligence Fall 2020

 Graphs, Graphs, more Graphs. I am actually a big fan of graph theory. I first got into it when I was maybe around 14 years old and was writing a path finding algorithm for a simple video game I was creating. Graphs seem to represent a solution to many problems in the field of computer science. They are using them more and more. As the lecture suggested Google uses graphs to rank it's search results. Which makes alot of sense when you think about how widespread the internet really is. The lecture this week focused on all the different types of graphs and the various measurements of graphs and so-forth. Some of the measurements were simple, aka, how many nodes is this node connected to. Some of them were complex, like the number of paths that ran through this node to get to other nodes. It's amazing to me how simple and complex a graph can be. It makes sense we're learning more indepth for them in this class because I imagine a ton of business intelligence can be visualized ...

 Hi Everyone. What a crazy time to be taking classes. The election and covid and everything is just insane. This week we covered something I've always wanted to dive into but never really had a chance. I've done a ton of work with web-apps and web development but these are normally admin portals will relatively few users. I've never developed a website that had thousands of users and been able to really reap the benefits from a google analytics page. This is certainly a lesson/tool I'm going to be using a ton moving forward as I cannot believe how much analysis I was able to do from just looking at google's little merchandise store. First I wanna talk about the lecture proper. Web Analytics certainly goes hand in hand with big-data, business intelligence and makes perfect sense why it was slotted into this course. The types of web traffic make sense to me. Organic traffic seems to be the goal that everybody wants. Search Engine Optimization I know is a huge field. I...

 Module 1! Hi everyone! We’ve made it through another few weeks. In this blog post I have made remarks and analysis on every video lecture since the last module. I paid special attention to our latest lecture on data dashboards. I also included a link of my own research for every video lecture. I hope you all have a chance to read one of these articles and give me your own opinion and arguments. Let me know if you agree with the author.     Data Warehouse: Management decision making is some of the most critical and vital aspects of any company. Having easy access to high quality information about the process is vital to making those decisions. This lecture is mostly just terminology. I agree with the importance of creating a data warehouse and the process seems to be based around using existing well-designed databases. I can say however, at my work we use reporting tools & analytics all the time to make important discussions. We base the size of our server...

 This week was very interesting. From reading multiple 60+ page papers to submitting a two question quiz. Big data. It's certainly a buzz word in the modern age. Everyone and their dog is talking about, taking ownership of and requesting big data. But does it live up to the hype? Well this week's readings certainly seem to point towards that. Firstly, I wanted to abstract that I most recently took a class called Data Mining and I was blown away how easy it was to create a neural network in R that was achieving 90% accuracy rates for very complex problems. Technology, and more specifically software, is really catching up with some of these hard problems. It seems now-a-days we have an hunger for more and more data. We're pushing the boundary on what is and what isn't data privacy. Honestly at times, it's a bit gross. First let's review the lectures. 1. Blogging, facebook and linked-in oh my! This will certainly be an interesting class experience. I wonder how m...