Tableau: What was the situation like before you opted for Tableau?
Dr. Graf: Before Tableau was rolled out, we didn't have a dedicated BI. Basically, we had no dedicated BI system. Consequently, analysis questions were passed on to IT, whether it was to the product owner or via tickets. Of course, this resulted in long round-trip times and long response times. Because the users were also used to having such long response times, they didn’t even ask many relevant questions. This has changed thanks to Tableau.
We went through a larger evaluation process at the end of last year, during which we evaluated several candidates. Ultimately, the great user-friendliness, intuitive use, and quick operation, but also the price and license model, were great plus points for Tableau.
Tableau: Are there any other key aspects that should be mentioned?
Dr. Graf: One thing I really like about Tableau is the fact that it gives me the option to involve my colleagues in the analysis process. That means our colleagues can work independently, which gives me more time to invest in other projects.
Tableau: What is the Tableau solution used for in your company?
Dr. Graf: The users covered via Tableau are, above all, data scientists and product owners, but department heads also use Tableau to make data-driven decisions. We currently have about ten Desktop users working with Tableau. Added to that are about 15 Tableau Server licenses, which are mainly used by department heads.
Tableau is mainly used in several areas. On the one hand, we use it for data science and data analysis to establish interrelations between data and run visual analyses. On the other hand, we also use Tableau in pure dashboarding, or in other words, when tracking KPIs, which are important to the company to get quick access to relevant data.
Another example of an area where we use Tableau is for product owners who want and have to test quickly—whether they are developing the features for the correct KPIs or tracking the right KPIs to test whether the features work correctly and have the right impact. Of course, we also use it across the company in the areas of controlling, marketing, and sales to quickly access data and make these jobs easier.