Enterprise Business Intelligence for Payment Aggregators
Case Study - Insights
About the Client
This case study talks about how PAYOTEK Digital’s Intelligent technologies solution, which helped a prominent Payment Aggregator in Singapore consolidate all the fragmented data collected from different sources using a unified data access platform.
Challenges
The following are some of the challenges faced by the client that warranted a strategic solution.
- Fragmented payment and transactional data collected through omnichannel clients, open & closed loop payment networks, financial institutions and processors, which had to be reconciled in such a manner to maximize the sales for its clients by learning consumer shopping habits and behavioral patterns.
- Nature of the data that was collected from different sources is in different formats, connecting points, interpretations, languages, regions and specifications.
- Payment and customer data was not all consistent, mostly confidential, less secure, not easily accessible and always require longer times to access it.
- Data sources were delivered through several payment infrastructures and multi connectors thereby increasing the risk of misinterpretation and losing some of the data.
- Data protection laws and local banking regulations make it very difficult for the client to manage the completion of payment transaction flows around the world.
- Data migration becomes cumbersome due to its sensitive nature.
- Business insights & performance cannot be measured easily without the lack of quality data consolidated over business chains.
- Data governance, enterprise security and privacy were major concerns.
The PAYOTEK Digital Solution
As a renowned payment advisory company with well-rounded expertise in digital payment & digital commerce solutions as well as with intelligent technology expertise, PAYOTEK Digital came out with a unified platform solution to address the client’s challenges.
Geographical, country-specific data residency requirements and regulatory restrictions (e.g. GDPR) are contributing immensely to the data fragmentation. New state-specific privacy laws (e.g. CCPA in California) within the same country are only going to accelerate such fragmentation.
Unlike the traditional data virtualization solutions, PAYOTEK Digital’s Enterprise unifies all your data sources in a secure manner, accelerates your queries, federates your queries across data sources and turbocharges your BI tools. You can connect to all data sources-data lakes, data warehouses, real-time data streams and relational database through a cloud native portal that can be hosted in Amazon or Azure or on-premises (Docker, Kubernetes, VM capable). PAYOTEK Digital’s Engine powered by custom Presto and proprietary caching proxy and engine accelerates your interactive queries by factor of 30 to 80. SQL federation layer ensures that complex joins are possible at speed on-demand and at scale.
Amongst other things, PAYOTEK Digital helped the client by providing a unique Enterprise Business solution to encounter data without borders with the following concepts under consideration,
- In-built multi-source connectors
- Flexible, scalable and cost-effective enterprise solution with consistent functionality across multiple regions and multiple clouds and on-premises
- Cost-based optimizer
- Boost Performance, establish enterprise security and privacy
- Data federation
- Data governance and anonymization
- Cost control with suspend and resume functions
- Extensibility to AI/ML Frameworks
- Single Pane Across Hybrid and Multi-Cloud
- Data Modeling Language