Tableau Server Access Request

Tableau Server is a front end reporting tool to access HANA data and other data sources. The majority of users looking for information will find Tableau Server meets their reporting needs. Those who wish to do more advanced data visualizations will want to check out Tableau Desktop. After submitting the request, your Area Security Officer will review your application for approval.
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    Analytics Community Principles

    1) Be safe and secure. Respect the acceptable use of information policies and guidelines the university has in place. Please have good passwords and secure your laptop, desktop and other devices appropriately. Treat private student and UK information appropriately. 2) Be collegial. University data is a community asset and a community of people steward the data. Use and share the data with the best interests of the university community in mind. Since parts of our data analysis environment is designed to allow for greater transparency, analysis will potentially be able to see other unit data. While we will make private to a unit what absolutely needs to be private, the way the university runs its business often involves multiple colleges and units at the same time requiring broad data access. Don't use your access to take unfair advantage of another unit. 3) Help improve data quality. If you see data that doesn't appear to be correct, let someone know. We have a team of staff dedicated to helping improve data quality. This team can work with colleges and units on any data entry and data management processes that might need to be changed to improve data quality. 4) Be open-minded and inquisitive. Data can be represented in multiple ways at the same time. While the teams are taking great care to enable multiple views of the data to support the community, you might have a valid and unique perspective. In time, we can accommodate more ways of looking at the same data while not interfering with other views or taxonomies. 5) Share. The main benefit from open analytics is the power of a community of analysts learning from each other rather than a few select individuals hoarding knowledge or access. As the community improves its knowledge and skill with the data, the university can improve accordingly.
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