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SAP Profitability Analysis brings together information from Sales, Production, Product Costing, and Overhead Management (CO) for the management of organizational and business segment profitability
There are multi-level tasks that high-tech OEMs need to monitor and support along the manufacturing chain to ensure successful product delivery. These stages consist of time to market, go to market, supply to market, quote to cash, and after sales support. All along these stages, time is imperative to meet aggressive product development deadlines, ensuring customer demands. If you thought your development lifecycles were already shrinking, be prepared for less room to maneuver.
Just finished an incredibly insightful article on how Predictive Analysis is driving new efficiencies in plant production environments. We all know that predictive analytics adoption is accelerating. It is no longer enough to collect, organize, and present historical data that tells us how the organization is performing relative to its goals. While a complete and accurate picture of our products, people, and financial performance is as important as ever, it fails in its ability to tell us what is likely to happen next. Data mining and predictive have offered us the promise of such insight, but was inaccessible to most organizations due to cost and complexity.
SAP doubled down on their recent foray into the predictive analytics space when they recently announced that they will acquire KXEN, a predictive analytics software vendor based in San Francisco.
During our last SAP HANA overview webinar hosted with Secure-24 and SAP Insider, we received a series of questions that we captured to answer about SAP HANA.
If you happened to miss our last webinar hosted with Secure-24- that's no problem, because you can now watch it at your convenience on YouTube.
