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Showing posts from December, 2024

Blog 5: Summary/Reflection for MIS587

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  Introduction As I reflect on the concepts covered in the modules covered throughout the MIS587 course, I see valuable connections between the concepts learned and their practical applications in my role in logistics and future project management roles in my career. These modules introduced concepts such as big data, data warehouse design, web analytics, and network analysis. In a logistics role, the ability to analyze vast amounts of data, optimize supply chains, and predict demand fluctuations is essential. This blog highlights these concepts by illustrating their relevance to my logistics role. Additionally, I analyze web analytics from my Online Business Intelligence Fall 2024 blogger page to apply course insights into a real life scenario. Application of Business Intelligence Concepts (Modules 0, 1, & 3) in Logistics and Project Management In reflecting on the concepts covered across Modules 0, 1, and 3 of this Business Intelligence course, I see clear applications ...

Blog 4: Network Analysis (Module 3)

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In this week’s lectures, I learned about the fundamentals of network analysis. A network consists of vertices (also called nodes) that represent entities, and edges that define the relationships between these nodes. For instance, a node might represent a person, such as "Jill," and an edge could represent the relationship between Jill and another person, like "Andrew," where Jill follows Andrew. These relationships can be directed (one-way) or undirected (mutual) and can be weighted (indicating the strength of the relationship) or unweighted. The lecture also introduced the concept of single-mode networks and two-mode networks. In a single-mode network, all the nodes represent the same type of entity (e.g., people), while a two-mode network connects two different types of entities (e.g., people and Facebook pages). After the lecture, I came across an interesting article on Medium titled Visualizing My Facebook Network Clusters by Ashris (https://towardsdatascience.c...