Firstly, I would like to send great thanks to Professor Paul Hawking who has given us – the students at Victoria University – an opportunity to attend the CompleteStream KeyInsights Conference 2016 held in Melbourne on 18th & 19th of April, 2016. Among marvelous presentations from the guru experts in SAP application, I was definitely convinced by the brilliant demonstration of SAP Predictive Analytics which was presented by Charles Gadalla from SAP Canada.
Source: Victoria University course syllabus on Business Intelligence 2015.
Generally, “Business Intelligence” or BI is always the dreaming goal for any organization when setting up their information systems, especially for the ERP systems. There is a variety of ways, yet exploiting the SAP solutions can be considered as one of the practical approaches for organization to get an effective BI. Under the recently leading-edge inventions of virtualization, storage, networking and in-memory technologies, the SAP S/4HANA was introduced as a revolution of integration system and BI, especially the SAP Predictive Analytics application which includes the Automated Analytics and Expert Analytics implements.
With just small investments on several specific sensor-tag devices from well-known manufacturers such as Texas Instruments Incorporate, organization can take a great number of automation and prediction advantages. By using these sensors properly, it is amazing to recognize that organization’s office buildings, factory machineries or other fixed assets are now becoming alive and enabling to connect with the SAP systems in order to communicate its working conditions and environment in criteria of light, magnetometer, orientation, temperature, vibration, etc. Thus, these uninterrupted information would be recorded into a database due to lately monitoring, analyzing and predicting purposes.
Additionally, the SAP S/4HANA is developed with the Predictive Analytics Library of a bundle of algorithms which allow to configure flexibly the triggered events under several required conditions, for instance, the system will automatically send an instant message to notice relevant persons if the working machine is going overheat or nearly out of usage time. Such kind of predicting information is really necessary for managers to take crucial maintenance actions before any failure or damage happen to organization.
The era of Internet of Thing or IoT is coming around the corner and this tendency is basically confirmed by the SAP S/4HANA with the powerful in-memory technique and Predictive Analytics tool that allow us to process and forecast the pure data in real-time. Strategic and risk managements become easier and more convenient routine than ever.
Here are some useful links for further information about the IoT and SAP S/4HANA in reality: