Tableau: Does any philosophy influence your analysis of data?
Dan: We use lean manufacturing principles. These are very key within our environment. To be able to perform the analysis on the data, to be able to look at problems, and again one of the core competencies of Six Sigma is being able to determine root cause and to be able to address root cause. Tableau is really very, very effective for that.
Part of the guiding principle of the ISO9001 quality system within manufacturing is that everybody needs to understand the progress of manufacturing, how you're doing against your goals. And Tableau for us was a key part of not only managing goals but also managing our performance against the goals. So ultimately, we wanted everybody in the facility to be able to have access to that kind of information.
And so everybody then begins to not only work with the same sets of data, a single source of truth, but also begins to see the possibilities and options that they can have through exploring this information, looking at the data in ways that they were never able to before.
Tableau: How often do you work with data?
Dan: We slice and dice the data all the time, and through slicing and dicing the data being able to turn it upside down on its head we frequently find insights.
Tableau: Why are self-service analytics so important?
Dan: If we have 100 engineers in manufacturing, maybe 20 of those engineers know how to write a SQL query, but maybe only three or four or five of those engineers have access to the database to be able to get the information that they need.