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As of May 2018, SAP Central Finance has helped 40 live customers (out of 220 active projects) integrate source systems into S/4HANA. The Central Finance Exchange event hosted by TruQua and Magnitude was the opportunity to take a snapshot of the Central Finance customer base. Twenty-two customers attending the North America Central Finance EXCHANGE event answered the survey revealing surprising insights.
This blog will be the first in a series of five blog posts which examine the benefits and use cases for SAP’s FS-PER solution.
TruQua announced the release of Florence, the first Machine Learning platform built to integrate with SAP Systems. Deployed on the cloud, Florence provides a platform for the simple, and secure deployment of Machine Learning algorithms, with secure connectivity to SAP business systems.
The purpose of this blog is walk through a real-world scenario that showcases how SAP Fiori apps can be extended using the SAP Cloud Platform. SAP Fiori applications are a revolutionary step forward for business users, streamlining key business processes, and providing centralized, role based applications for end users.
In this example, we are going to test three different popular Machine Learning technique: Machine Learning with Logistic Regression, Support Vector Machines and Random Forest algorithm models to predict the number of bikes that will be in service for a given hour of a Divvy station.