Use cases#
1. Introduction#
The portal use cases are designed to highlight the capabilities and practical implementation contexts for the data analytics tools offered by the platform. To this extent, 5 main use cases have been defined:
Name | Links |
---|---|
Scenario 1 - Data visualization | Description, Guide |
Scenario 2 - Search analytics | Description, Guide |
Scenario 3 - Low code data analytics | Description, Guide |
Scenario 4 - Big data analytics | Description, Guide |
Scenario 5 - Live dashboards | Description, Guide |
Each scenario has its own dedicated folder in which all relevant files are stored. More in particular, each use case is supported by two reference documents:
-
Use case description, which is reporting the following information:
- use case description - Problem statement, presenting the foundational problem statement for the discussed use case;
- use case goals, presenting the use case goals which derive from its description;
- use case tools & capabilities, presenting the data analytics tools (and the key capabilities) that will be implemented to build a solution for the starting problem statement;
-
Use case guide, which is a step-by-step walkthrough in the portal to correctly use the data analytics tools selected for the use case and thus achieve the use case goals.
2. Datasets#
A specific dataset has been chosen for each scenario in consideration of the type of the analysis undertaken:
- Scenario 1 - Data visualization: Energy Balance in the EU - Kaggle
- Scenario 2 - Search analytics: CORDIS - EU research projects under Horizon 2020 (2014-2020) - Dataeurope.eu
- Scenario 3 - Low code data analytics: EMHIRES dataset Part II Solar power generation - setis.ec.europa.eu
- Scenario 4 - Big data analytics: COVID-19 Open Research Dataset Challenge (CORD-19)
- Scenario 5 - Live dashboards: Open-Meteo API