Provide a detailed discussion of the analytical technique that you might use and describe the potential issues that you might encounter. Compare your chosen technique to others and outline your reasons for choosing it.

Zohpius

April 5, 2023

Detail the stages involved in implementing an analytics project for a business in the aviation sector.

Using the frameworks, tools and techniques described in Detail the stages involved in implementing an analytics project for a business in the aviation sector.

1. Choose a business in the aviation industry.
2. Identify an area of the business that would benefit from increased analytics.
3. Describe how you would select and implement an analytics project.
4. Describe each stage of the process in detail using a framework covered in the lectures. Apply tools and techniques discussed.
5. Provide a detailed discussion of the analytical technique that you might use and describe the potential issues that you might encounter. Compare your chosen technique to others and outline your reasons for choosing it.
6. Identify any governance and ethical considerations.

Use business intelligence/analytics:

• Data mining: sorting through large amounts of data to identify patterns and trends
• Aggregation: the process of gathering and organizing data prior to analysis
• Forecasting: analysing historical data estimate future outcomes
• Predictive modelling: extracting information from data sets to identify patterns and estimate future trends
• Data visualization: creating visual representations of data analysis, such as charts, tables, or graphs

The assignments should be written in a traditional essay style, demonstrating students’ intellectual ability by expressing arguments in clear, logical, well-structured prose.
The assignments should be written with subheadings to separate each new area that is under discussion.

Type the assignment in Arial font, size 12 font, using 1.5 line spacing with numbered pages.

Source: “Big Data Fundamentals: Concepts, Drivers & Techniques”, 2016, Thomas Erl, Wajid Khattak, Paul Buhler

Source: “Win with Advanced Business Analytics: Creating Business Value from Your Data”, 2013, Jean Paul Isson, Jesse Harriott

Source: “Business Analytics Principles, Concepts, and Applications: What, Why, and How”, 2014, Marc J. Schniederjans, Dara Schniederjans, Christopher M. Starkey

Source: ”IoT Fundamentals: Networking Technologies, Protocols, and Use Cases for the Internet of Things” , David Hanes, Gonzalo Salgueiro, Rob Barton

Source: “A PRACTITIONER'S GUIDE TO BUSINESS ANALYTICS: Using Data Analysis Tools to Improve Your Organization’s Decision Making and Strategy”, 2013, Randy Bartlett

Source: “Practical Business Analytics Using SAS: A Hands-on Guide”, 2015, Venkat Reddy Konasani, Shailendra Kadre