
During the weeks, I conducted research and contributed to group discussions and creative projects on Business Intelligence (BI) topics associated with Business Intelligence Case Studies. I applied the knowledge I gained from academic mentors, scholarly articles and books, and online video repositories to research projects and create executive-level reports associated with the following areas:
- Gap Analysis,
- Cost-Benefit Analysis, and
- Business Intelligence (BI) Solution Proposals.
One of my favorite projects I worked on this past month was linked to the data associated with Rolls-Royce’s opportunity to modernize their enterprise of jet-engine production capabilities. In particular, I created a data-informed solution plan to address the company’s challenges/opportunities, which featured a BI systems proposal to implement Microsoft’s Azure & Power BI infrastructure. This solution plan really helped me understand the intricacies involved with creating a well-constructed BI justification and project plan with associated costs. Additionally, it provided me with some hands-on experience as I led all research efforts, performed all the data collection, analysis, and visualization content.
Overall, I loved the complex nature of the BI community-of-practice and the many ways that businesses can use data to improve business. For development sake, I can’t wait to share my knowledge on future business-related projects as I work on independent and/or joint projects in the real-world.
Also, this past month gave me the opportunity to read another good book on Big Data and its many use cases across the globe. In particular, I read the book titled, Big Data in Practice: How 45 Successful Companies Used Big Data Analytics To Deliver Extraordinary Results.
This book was definitely a good read and provided lots of great business case scenarios of successful companies that used Big Data to elevate their business. For that reason, I suggest you check it out too!
Until next time, thanks for stopping by!
References
Marr, B. (2016). Big Data In Practice. https://www.google.com/books/edition/Big_Data_in_Practice/UKnQCwAAQBAJ?hl=en&gbpv=0