MIS 587 - Phetdara

Hello everyone and welcome to my 4th blog for MIS 587. Week 6 of MIS 587 covered lectures 11 through 13. This week's lectures introduced us to networks, how to visually represent networks, and the properties of networks in relation to business intelligence.  Lecture 11 describes networks as a collection of entities and the relationships among them, often defined as a social structure made up of entities, known as vertices, and their relationships, which are called edges. Networks in business intelligence are also called graphs, and can also be mathematically represented as G(V,E).  Dr. Ram states in her lectures that networks are important because they help to understand different types of phenomena, such as information diffusion, disease, propagation, and relationship formation, among many other types of phenomena. Additionally, they help to understand complex systems and their behavior, which can be very beneficial for organizations to understand their business practices and...

 Hello everyone, This weeks lectures in MIS 587 covered lectures 9, Web Analytics, and lecture 10, Google Analytics. Before this lecture, I was particularly interested in learning more about these tools prior to taking the MIS 587 course. I knew that they were powerful, and useful for organizations in helping understand their business, and after reviewing this week's course lectures, I found they thoroughly explained web analytics use cases and applications in business intelligence. While I currently do not operate a website myself, my family does operate a local donut shop in Tucson, Arizona. In the future, I wonder if I can create a website for my family's small business and apply the Google analytics software on the site to gauge customer traffic and see if it can positively affect their online business presence. Lecture 9 Summary and Reflection: According to the Web Analytics Association, web analytics is known as the measurement, collection, analysis, and reporting of inte...

 Module 1 of MIS 587 covered topics in big data, data warehouse design, balanced scorecards, star schemas, dimensional modeling, and dashboarding design for business intelligence.  The Balanced Scorecard The balanced scorecard is a powerful tool organizations can use to measure performance with KPIs (key performance indicators), particularly in 4 areas: Financial, Customer, Internal Business Processes, and Learning and Growth. The balance scorecard seeks to answer different questions in these categories, links organizational goals to the overall strategy, and also maps goals relevant to those KPIs and metrics.  Dashboarding Design for Data Analysis A dashboard is a visual interface, usual using graphics to represent data. It can be a very helpful tool in informing businesses and presenting information analysis. They typically are quantitative measures of performance, such as how well an organization is performing in the market, or information such as sales over time, unit...

 Hello everyone, my name is Matthew Phetdara and this is my final semester of the MIS/ Cybersecurity program at the U of A. I studied MIS at the U of A for my undergraduate degree, and I currently work for Deloitte as a solutions consultant.  I am interested to learn more about big data and how it is applied in business use cases, but more specifically, I'd like to learn about how big data is applied in cybersecurity scenarios. My experience and knowledge regarding big data is still superficial, but I hope to learn more about big data concepts and applications over the next few weeks. Looking forward to learning with you all!