DataLake implementation

Description

With Kyriba APIs you can build and maintain your own centralized repository that allows you to store structured and unstructured data at any scale. You can store your data as-is, without having to first structure the data, and run different types of analytics - from dashboards and visualizations to big data processing, real-time analytics, and machine learning to guide better decisions.

DataLake allows you to organize data coming from multiple sources into single storage for advanced reporting and decision making. 

Each Kyriba API provides access to a vast amount of filters and sorting possibilities. You can use them as a part of your flows to build the solution and flows that suits you. 

DataLake Implementation Sample

Examples of DataLake implementation and usage:

• Collect valuable financial data: Payments, Bank Statements, Cash Flows
• Advanced decision making based on omnichannel information

Step by step instructions to build a DataLake with Kyriba APIs:

Kyriba APIs are easy-to-use interfaces to interact with the Kyriba Application. You can leverage different data extraction flows to retrieve detailed financial updates on your Bank Accounts and Third Parties. 

• Kyriba Application. Define Cash Flows Process Templates (By Default Cash Flows Export)
• Kyriba APIs. Get detailed information about updated Bank Accounts
• Kyriba APIs. Get Cash and Bank Balances for specific Bank Accounts or for a list of Accounts
• Kyriba APIs. Get detailed information about new Cash Flows
• Kyriba APIs. Generate Kyriba reports with Cash Flow details