Data collection and quality
WHAT WE OFFER
Data Quality Audit
Knowing the degree of data quality is the first step to carry out corrective measures to have quality data.
- Descriptive field-level analysis by Data Source
- Data Quality improvement objectives and strategies
- Operational plan: tools, processes, data sources
- Data Quality Dashboard
Data enrichment
Establishing processes to improve data quality is essential. We use our own tools and other market tools such as Google Maps, statistical sources and Open data available.
- Cleaning and Standardization
- Deduplication and Consolidation
- Opendata
Web scraping of data
Programs that simulate a person’s browsing to obtain information identified on websites.
- Web structure analysis
- Data collection strategy
- File generation
Data integrations
Obtain the necessary data for incorporation into a database, for consumption in other systems or for analysis projects.
- Identification of required data
- APIs, Web Services, ETL, Sensors
- Internal and external data
