Engineers can accelerate KPI management between SAP and other data silos
Last week, Atos and AWS released a tool to help customers manage key performance indicators (KPIs) by integrating SAP and other data silos. The Atos AWS Data Lage Accelerator for SAP solution is designed to simplify company-wide reporting of ever-changing engineering and enterprise resource planning (ERP) information that affects decision making.
“Atos’ AWS Data Lake Accelerator for SAP is another example where our company is strongly focused on clients’ needs and aspirations. We continue to develop innovation and technology to help clients across all sectors prepare for a new era of digital business based on data,” said John Cipolla, Head of Atos OneCloud Americas, Atos. “This new solution combines Atos’ years of experience in SAP data warehousing technologies with scalable AWS microservices for ingestion, transformation and data modelling to deliver performance-driven advanced analytics.”
The tool has built in KPI monitoring for various manufacturing, financial, sales, distribution and inventory functions. How this all works is that the solution stores data in an Amazon data lake. Then, instead of humans assessing the data, the solution does this under-the-hood using analytics and machine learning tools. In other words, the solution is designed to give KPI data without the traditional complexities of data lakes.
Many of these KPIs will be essential for engineers to optimize manufacturing results, performance, forecasting and lifecycle management. In fact, based on previous successes, Atos projects that the tool should be able to manage KPIs 75 percent faster than traditional tools and help reduce product timelines from 24 months to 6 months. If true, that claim should catch the eye of many manufacturing and engineering outlets.
