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Building data integration with IBM Planning Analytics SaaS and AWS Lambda

By NICK PLOWDEN posted Thu June 20, 2024 10:02 PM

  

Building data integration with IBM Planning Analytics SaaS and AWS Lambda

by Eduardo Monich Fronza, Ali Duran, and Marcio da Ros Gomes 
Customers across different industries are looking for ways to use all of their data to enhance their planning and decision-making processes. They seek solutions to integrate data from various sources, aiming to build innovative AI solutions, gain a 360-degree view of their operations, and uncover new insights to differentiate their businesses.
 
IBM Planning Analytics (PA) is an advanced analytics solution that helps organizations automate planning, budgeting, forecasting, and analysis processes. Available as a fully managed SaaS on AWS, PA uses an in-memory database to produce real-time insights, with AI-infused forecasting.
 
In this blog, we will show you how you can streamline data workflows and enhance your data-driven decision making process by integrating PA with AWS data repositories such as  Amazon Simple Storage Service (Amazon S3) and Amazon Relational Database Service (Amazon RDS). By utilizing open-source tools, serverless applications with an event-driven architecture, AWS Lambda, and Python libraries you can fetch, process, and prepare data for integration. This approach streamlines your workflows and enhances data-driven decision-making.
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