SverigeS TeleviSiOn
Company Size
1,000+
Region
- Europe
Country
- Sweden
Product
- Tableau Desktop
- Tableau Server
Tech Stack
- Data Warehouse
Implementation Scale
- Departmental Deployment
Impact Metrics
- Digital Expertise
- Productivity Improvements
Technology Category
- Application Infrastructure & Middleware - Data Visualization
Applicable Industries
- Telecommunications
Applicable Functions
- Business Operation
Use Cases
- Real-Time Location System (RTLS)
Services
- Data Science Services
About The Customer
Sveriges Television (SVT) is the largest television channel in Sweden. The company has a dedicated Audience Research team that monitors television-viewing behavior in Sweden to make better decisions on how to air programs. The team works with people meter data, website data, and their own surveys to understand more about the behavior of their audience. The data is stored locally in their own data warehouse. The main consumers of their reports are the commissioning board, which consists of six people who are each responsible for one TV genre, like fiction, news, sports, and so on.
The Challenge
Sveriges Television (SVT), the largest television channel in Sweden, was facing challenges in analyzing television viewing behavior in Sweden. The Audience Research team at SVT was tasked with monitoring television-viewing behavior to make better decisions on how to air programs. They were using Excel for their analysis, which was time-consuming and lacked the ability to perform in-depth analytics due to the manual work involved. They were also struggling to communicate their insights effectively with the executives who make programming decisions. The team needed a solution that could accelerate their analyses and improve their communication with the executives.
The Solution
SVT's Audience Research team adopted Tableau for their data analysis. They use Tableau Desktop for their analysis and have six licenses of it. Two of them are working with it and four people are starting to learn. They also have 10 Tableau Server licenses, which they are testing to see if it could be a decision support for their management team. With Tableau, they were able to perform their job much faster and easier. They could do a lot more analytics as there was not so much manual work involved. They found Tableau scatter plots to be a very effective way to communicate with the executives. They also started using live data to present directly in Tableau, instead of copying graphs to PowerPoint, which made their presentations much more interactive and engaging.
Operational Impact
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