2 documents found
Practical guide for improving the quality of open data
When publishing open data, it is essential to ensure its quality. If data is well documented and of the required quality, it will be easier to reuse, as there will be less additional work for cleaning and processing. In addition, poor data quality can be costly for publishers, who may spend more…
- Guides
Emerging Technologies and Open Data: Predictive Analytics
In order to extract the full value of data, it is necessary to classify, filter and cross-reference it through analytics processes that help us draw conclusions, turning data into information and knowledge. Traditionally, data analytics is divided into 3 categories:
Descriptive analytics, which…
- Reports and studies
