Mobito applies advanced data processing techniques to ensure the consistent, high-quality, and high-volume delivery of probe data to consumers.
Data Cleansing
To enhance data accuracy and reliability, Mobito performs:
Deduplication: Removal of duplicate records to prevent redundancy.
Filtering of Noisy/Damaged Records: Exclusion of records that compromise data quality, such as:
Null locations or IDs
Incorrect timestamps
Low-points trips
Data Anonymisation
Mobito implements strict anonymization techniques to remove personal identifiers and ensure compliance with data protection regulations (e.g., GDPR).
For more details, refer to Mobito Anonymisation
Data Standardisation
All processed data is formatted to align with the Mobito universal data schema, ensuring consistency across all deliveries.
Key benefits include:
Seamless integration with various analytics platforms
Consistent structure across different datasets
Faster and easier data processing for end users
For more details, refer to: