Pronto Technology, Inc.

Swaroop Kolli

Manoj N Kumar

Suresh Kumar Batchu

Manoj Kumar

In various embodiments, a process for dynamically mapping and un-mapping data includes generating a first mapping that maps each of at least a subset of phases defined in a first schema to a corresponding source schema phase associated with a source set of records and generating a second mapping that maps each of at least a subset of phases defined in a second schema to a corresponding phase defined in the first schema. The process includes using the first mapping and the second mapping to provide shared access to records comprising data from the source set of records, at least in part by: using the first mapping to obtain and store, in the memory, data comprising one or more records from the source set of records; and using the second mapping to provide shared access to said data comprising one or more records from the source set of records.

Normalization engine to dynamically map and un-map data

In an embodiment, a process for data enrichment and matching includes obtaining a first dataset associated with a first user from a first data source, where the first dataset includes records from a structured data source, and obtaining a corresponding second dataset associated with a second user. The process includes enriching at least one of the first dataset and the second dataset. The process includes merging the first dataset and the second dataset including by matching a set of attributes based at least in part on matching corresponding attributes, wherein at least one of the first dataset and the second dataset has been enriched. The process includes outputting the merged data.

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San Jose, CA, United States of America

Swaroop Kolli