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The Danish Olympic Committee
Technology Category
- Application Infrastructure & Middleware - Data Visualization
- Analytics & Modeling - Big Data Analytics
Applicable Functions
- Business Operation
Services
- Data Science Services
The Challenge
The Danish Olympic Committee was struggling with data accessibility and analysis. They had a lot of reporting and 'gatekeepers', but the data was not easily accessible to athletic consultants. These consultants work with about 61 different federations for various sports, and the federations needed to work with the committee. The committee had 26 Tableau Desktop users, but they were facing problems with spreading their data. They were also working on cube data, which presented its own set of challenges. The committee started with a small group of around eight people working on and testing Tableau, and now it's being used by many federations. They have 70 staff members, so 26 is actually a lot. The main goal from the beginning has been to sustain the work between the consultants and the federations.
About The Customer
The Danish Olympic Committee is an organization that coordinates a variety of IT projects and integrates education as an athletic consultant. The committee works with about 61 different federations for various sports. They have seven consultants working directly with the foundations, and the federations need it working with them. The committee has 70 staff members, and 26 of them are Tableau Desktop users. The committee is considering switching to Tableau Server to spread out the data to all the federations. They are also working on cube data.
The Solution
The Danish Olympic Committee started using Tableau for business intelligence a year ago. They are focused on bringing business intelligence to the athletic consultants, so they can easily get access to data. They have 26 Tableau Desktop users and are considering switching to Tableau Server to spread out the data to all the federations. They are also working on cube data. The use of Tableau has grown over the year, starting with a small group of around eight people working on and testing it, and now it's being used by many federations. They are also planning to use Tableau in the financial department. The main goal from the beginning has been to sustain the work between the consultants and the federations.
Operational Impact
Quantitative Benefit
