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Track lineage for every metric, enhance compliance

Integrate data from Core Banking, Card Management, Loan Management System, CRM, Banking Apps & Payment Systems

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How it Works?

Integrate Data Sources through Realtime Change data capture or EoD / Scheduled loads, Refine and Report to enhance Compliance

Integrate Partner Reporting

Integrating data across multiple partners operating in co-lending, neo banking, payment processing, co branding is key to regulatory reporting and operational efficiency. Streamline partner data integration to ensure accuracy in reporting.

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Data privacy

As a regulated entity banks need to ensure adherence to data privacy norms, protect PII information while also assisting regulators in tracking down bad behaviour. Drona Pay enables this fine balance through technology.

Improve searchability

As data sources from multiple lending partners, diverse fintech apps, multi core systems drive growth, banks need to be able to search data sources with ease to find the right parameter for analysis and reporting.

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Problem Statement

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Integration

Realtime change data capture, near real time replication and end of day loading covering systems on on-prem, cloud and hyperscalers.

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Governance

Validate data quality, consistency and help scrub data in upstream systems to ensure quality data flow.

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Reporting

Enabling business users with self-serve reports / datasets across fintech partner systems & bank systems

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Data quality checks

Drona Pay offers a range of default expressions to validate fields like PAN, Aadhar, Mobile number, Pin Code, Name, Address etc. in source data systems. Helping banks validate data quality in upstream partner systems at source. 

Robust integration adapters

Integrate data sources across a range of cloud and database providers with support for realtime change data capture, near real time replication and end of day loading. 

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Self service MIS / Dashboards

Enabling business users with self-serve reports / datasets across fintech partner systems & bank systems is key to improving decisions. A dataset which cannot be tracked to source and validated raises more questions than answers. 

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