Transaction data storage

In the ever-evolving landscape of data management, optimizing the utilization of payment data becomes paramount for informed decision-making; for both operational real-time events and strategic planning. One powerful solution to consider is the integration of a Data Warehouse or Data Lake, for storing and analyzing data from Paymentology reports and data feeds. This strategic move not only enhances data management but also empowers you with robust analytics and reporting capabilities.

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Paymentology reports and data feeds are standard features used by multiple clients, it is the responsibility of clients to store/retain the data and organize it in a way for purposes to meet any additional needs not covered by Paymentology. We recommend clients build in house capability for following.

Why use a Data Warehouse or Data Lake?

Data Warehouses and Data Lakes provide a centralized repository for storing payment data from diverse sources, including Paymentology reports and data feeds. This consolidation simplifies data management, reducing the complexity of handling data from multiple channels. Benefits include:

• Full, fast and reliable access to your card program data for management, operations and program strategy.
  • Ability to combine data from all your card programs in one place. Simplifying customer oversight.
• Combine your card program data with your other business data empowering greater wholistic insights. Such as data from Customer Management Systems, Financial and Accounting Software, Risk Management Systems etc.
• Analyze transaction data for various purposes, such as spending categorization.
• Send customers periodic spend summaries. Such as weekly, monthly and yearly spend summaries.
• Manage how you present transaction data to customers on your app/website.

Efficient data processing

Paymentology reports and data feeds should be considered as disparate sources of data so leveraging a Data Warehouse or Data Lake ensures efficient and streamlined data management. Data Warehouses and Data Lakes are designed to handle large volumes of transactional data, enabling quick retrieval and analysis without compromising performance.

Real-time analytics

Non real-time data such as settlements and reports can be combined to enrich real-time analytics by harnessing the capabilities of a Data Warehouse or Data Lake. Stay ahead of the curve with up-to-the-minute insights into transaction trends, customer behavior, and financial performance, enabling prompt and informed decision-making.

Scalability and flexibility

Your in house solution should be designed to scale with your business needs. As transaction volumes and customer numbers grow, the system can seamlessly expand to accommodate increased data without sacrificing performance. This scalability ensures a future-proof solution for evolving data requirements.

In-depth financial analysis

You can analyze transaction data to gain a comprehensive understanding of financial performance, identifying patterns, anomalies, and opportunities for optimization and growth.

Customer behavior insights

You will uncover valuable insights into customer behavior by analyzing payment data. Customize services and offerings based on a data-driven understanding of customer preferences and habits.

Fraud detection and prevention

You can enhance security measures by utilizing transaction data for proactive fraud detection. Identifying suspicious patterns and implementing preventative measures to safeguard financial transactions.

Compliance and reporting

You can streamline your compliance reporting by leveraging structured payment data. Ensuring and maintaining adherence to regulatory requirements and simplifying your auditing process.

Implementing a Data Warehouse or Data Lake for your Paymentology data in-house is a strategic investment that opens doors to a wealth of insights. Collaborate with your development team to seamlessly integrate thisf into your existing infrastructure, and unlock the true potential of your payment data for analytics, reporting purposes and product strategy.

Paymentology data flows and sources

There are four different data flows between Paymentology and client systems:

Paymentology to client system:

1. FAST (active and/or passive). More info here.
2. Remote messaging:
   1. Card Status Updates (CSU). More info here.
   2. Tokenization messages. More info here.
3. File based:
   1. Periodic data extracts aka reports. More info here.

Client system to Paymentology:

4. Paymentology APIs. More info here.

Responsibilities

As a client, you are in charge of storing and managing data on your side for your own purposes. It is important to note:

• Reports not downloaded will not be regenerated by Paymentology after the guaranteed retention period of three months.
• Requests for data already available to you via existing mechanisms (such as the four data flows listed above), or consolidation into a custom data extract may not be entertained by Paymentology.
• Existing reports as defined as static in nature and requests for additional data to be provided will be reviewed.