SPSS Mean Comparison & Cluster Analysis

In this project, our primary objective is to identify clusters and compare group means using SPSS.

**Detailed Requirements Include:**
- Execute a comprehensive group mean comparison.
- Conduct precise cluster identification.
- All analysis is to be done using SPSS. Prior experience and expertise in SPSS is a must.

Objective of the research: identify whether the performance of banks differs with the level of digital maturity.

Three levels of digital maturity: digital beginners, digital followers and digital leaders

Data covers 8 banks on a 5-year period: 2018-2022
Banks should be allocated to one of the 3 clusters using k-means algorithm depending on their performance on certain ratios.

K-means should be repeated for every year to see if cluster composition changes. Example: in 1 year bank A is in the digital beginners clusers, then in the next it switches to digital followers.

For each year, analyze whether there is significant difference between the mean of certain performance metrics across the three clusers.

Additionally: make test for ANOVA assumptions and post-hoc comparisons

Please note, all data has already been prepared and is ready for analysis. Extensive knowledge of data patterns is desired to ensure successful results. Applicants who can demonstrate a history of detailed data pattern analysis will be highly regarded.