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Reflections on MIS 587 - Business Intelligence

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Introduction to Business Intelligence Business Intelligence is not just a collection of tools and processes. It is a unified and value driven approach that strengthens decision making at every level of an organization. As a Business Intelligence developer, throughout this MIS 587 course, I gained a deeper appreciation for how complex and interconnected the Business Intelligence ecosystem truly is. Data warehousing, modeling, ETL/ELT processes, dashboards, web analytics and insights, and network analysis all contribute to a broader goal of transforming raw information into meaningful knowledge. This course encouraged me to look beyond definitions and reflect on how these concepts apply directly to real organizational challenges. Data Warehouse Foundation My experience with data warehousing was one of the areas where the concepts in class closely aligned with my real work responsibilities. A warehouse is much more than a storage system. It is a structured and purpose-driven environment w...
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Network Analytics

Summary of the Lecture Networks are collections of entities and the relationships among them, representing systems of interconnected elements. In social contexts, networks are often described as social structures composed of entities (vertices or nodes) and their relationships (edges). Nodes represent entities such as people or organizations, while edges represent the connections between them. Edges can be directed or undirected, weighted or unweighted, depending on the type of connection. Networks are crucial for studying complex systems, including information diffusion, relationship formation, disease spread, financial crises, and trends on social media. Companies like Facebook and Google utilize network analysis extensively to understand user behavior and innovation patterns. Networks can be categorized as single-mode networks, which contain only one type of vertex, or two-mode networks, where the vertices represent two different types of entities. The analysis of networks relies on...
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Web Analytics in Business Intelligence

Summary of the Lecture Web analytics are essential for businesses that want to measure, collect, analyze, and report internet data in order to understand and optimize how users interact with their websites. By examining both qualitative and quantitative data from their own site and from competitors, businesses can strengthen their operations and improve how they reach customers. The web analytics cycle, which consists of setting goals, measuring, reporting, analyzing, and optimizing, provides a structured approach that helps organizations continually refine their website performance and user experience. A core part of web analytics involves answering the Five W’s: what users are doing on the website, who they are, when they visit, where they are coming from, and why they behave the way they do. These insights help businesses understand customer behavior, identify their target audience, and recognize which products or services matter most to visitors. Related to this is understanding th...
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Dashboards in Business Intelligence

Summary of the Lecture Dashboards are an effective visual interface that allows organizations to tell a story about their data. They provide quick yet detailed insights into key performance indicators that users need to monitor. As we learned in the lecture, dashboards serve as quantitative measures of market, business, operational, or project performance. They offer visibility into critical metrics such as product delivery times, productivity levels, and customer satisfaction rates. Dashboards often display both baseline and actual values, allowing users to compare planned versus real-time results as projects progress. For example, a business unit may estimate the time required to complete a task (baseline) and then track the actual completion time. Comparing these values helps identify gaps, lessons learned, and opportunities for process improvement. Over time, this enhances scheduling accuracy and overall project planning. Dashboard Types and Best Practices Dashboards have become in...
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Introduction

Greetings, everyone! My name is Faris Abuzaid, and I live in Phoenix, Arizona, which I proudly consider home. I earned my bachelor’s degree in Management Information Systems and Operations Management (Double Major) from the University of Arizona in December 2017. Currently, I work full-time as a Business Intelligence Analyst at a utility company in Phoenix. In my free time, I enjoy traveling, hiking, and exploring new restaurants and coffee shops around town. I also enjoy working on do-it-yourself (DIY) projects around the house, which help me learn new skills. As a BI Analyst, I hope to deepen my knowledge in Business Intelligence and Data Mining Analytics through this class. The field of Business Intelligence continues to evolve alongside advances in AI and technology, ranging from ETL/ELT processes and real-time analytics to data modeling and dashboard development for end users. I’m very excited about this class and look forward to learning new techniques and perspectives in Busines...
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