BUSINESS INTELLIGENCE TECHNOLOGIES (BIN550-O)
(Elliott, 2013)
Reflecting back on my Mastery journey timeline I wrote for my third-class Business Intelligence Technologies that “During my Mastery journey this course will teach me the design and creation skills of a data warehouse, which will help me to transform data for my target audience. I look forward to using case analysis and real-work examples while learning how to access, analyze, and distribute organizational information”. I also established three goals that I planned to achieve during this course and a strategy for each goal to help me achieve each goal.
My first goal was to understand the technologies used to create data warehouses, and the strategy I chose to help me achieve this goal was to read Article An Overview of Business Intelligence Technology by Surajit Chaudhuri, Umeshwar Dayal, and Vivek Narasayya, available on EBSCOhost. After reading this article and completing this course I was able to better understand the technologies that are used to create data warehouses. My second goal was to understand what a data warehouse is, and the strategy I chose to help me achieve this goal was to complete this class at Full Sail University. After completing this course, I now have a better understanding of what a data warehouse is.
My third goal was to understand How to access, analyze, and distribute organizational information., and the strategy I chose to help me achieve this goal was to watch the video “Data collection and management data warehouse” on Lynda.com. Watching the video on Lynda.com and after completing this course I feel confident in my understanding of how to access, analyze, and distribute organization information.
Overall, this class has been very beneficial and informative. I learned the following:
Explore what business intelligence entails.
Understand why effective BI strategies don’t revolve around departmental implementations, but instead are formulated with the entire organization in mind.
Evaluate vendor's overall product attributes and market position
Evaluate in a matrix format the most suitable products and the leading vendors.
Develop a business justification and a business strategy for BI decision-support initiatives
Assess strengths and weaknesses of the OLAP tool
Assess the tool's ability to be deployed quickly, adopted easily, and maintained cost-effectively
Assess the tool's ability to automatically drill from summary and calculated data, which is managed by the OLAP server, to detail data stored in the data warehouse relational database
Conduct the ETL tool evaluation and selection process
To recognize which extraction method to choose? This influences the source system, the transportation process, and the time needed for refreshing the warehouse
Summarize the method you should choose to provide the extracted data for further processing? This influences the transportation method, and the need for cleaning and transforming the data
Understanding the context in which data infrastructure (ranging from cloud hosting to traditional onsite facilities) exists
Describe the whole purpose of data infrastructure and is to be there for your data as described above – protecting it and converting it into information.
Specify the criteria or standards that will insure that data that is protected can also be quickly and accurately restored.
Rapid development and deployment of customer-facing environments
Access to any data, even social media and cloud sources, from any device
Embedded data quality and master data management, to ensure information accuracy and consistency
Maximum security to keep sensitive information protected
Unmatched scalability to support large numbers of users InfoApps™, which make it simple and easy for business users to interact with analytics content
Explain how BI adoption has to be supported by a strong case for change
Summarize how BI creates value for the business
Express a business problem as a manageable analytical question
Identify the drivers, strategic business goals, and BI application objectives
Estimate costs for building and maintaining a successful BI decision-support environment
Assess the risk in terms of technology, complexity, integration, organization, and project team and financial investment
I look forward to applying what I learned from this course as I proceed on your BIMS Program Journey. I am also looking forward to what my next course has to offer; Business Intelligence Analytics.
Elliott, T. (2013, August 8). BI Cartoons. Retrieved August 2018, from Blog SAP: https://blogs.sap.com/2013/08/08/bi-cartoons
Full Sail University. (2018). Full Sail University Business Intelligence Master's Course Schedule. Retrieved August 2018, from Full Sail University: https://www.fullsail.edu/degrees/business-intelligence-master/courses
Roberts, C. (2018). Mastery Journal. Retrieved August 2018, from Tumblr: https://chri5tin4r0b3rt5.tumblr.com









