Power Systems Manufacturing (PSM) collaborated with Apiphani and AWS to create a modern data pipeline, addressing challenges such as outdated data systems and inefficiencies in data access.
The implementation of a strategic data pipeline utilizing AWS tools has enabled PSM to launch five key data products, greatly enhancing data-driven decision-making and resulting in reduced reporting time and improved system performance.
The flexible and scalable platform has not only streamlined operations but also set the stage for advanced machine learning (ML) and artificial intelligence (AI) applications, with plans for further expansion of data capabilities.
Power Systems Manufacturing (PSM) partnered with Apiphani and AWS to build a modern data pipeline that integrates data across its operations, enabling business intelligence (BI), data science (DS), machine learning (ML), and artificial intelligence (AI) capabilities. PSM faced challenges with outdated overnight data downloads, siloed data systems, and inefficiencies in accessing and analyzing key business and engineering data. Apiphani implemented a strategic data pipeline on AWS, integrating tools like S3, Lambda, Glue, QuickSight, and PowerBI to create self-service data products and streamline data access. The initiative launched five key data products (including product delivery and demand management) with funding for five more, significantly improving data-driven decision-making. The flexible and scalable platform also paved the way for advanced ML and AI applications. As a result, PSM has reduced reporting time, improved system performance, and is eliminating unnecessary databases, leading to cost savings and operational efficiencies. The company now plans to expand its data capabilities, reinforcing Apiphani’s role as a strategic technology partner.