In this blog we want to introduce "The Nuts & Bolts of SAP Predictive Analytics" YouTube Video Series. In this series pierre.leroux, priti.mulchandani and I have created a number of short 2-3 minute videos to highlight some important predictive use cases.
- Data Preparation: In the first installment we walk-through how to prepare your data using SAP HANA as a data source. In this short video we highlight some of the key features in SAP Predictive Analytics - Data Manager that enable users to join, aggregate, expand and derive attributes from data sets for use in predictive modeling.
- Automated Analytics: We then focus on SAP Predictive Analytics - Automated Analytics and demonstrate how the wizard-like approach enables users who may not have a degree in Maths to train, build, and test a predictive model.
- Real Time with SAP HANA: Next we watch how SAP Predictive Analytics - Automated & Expert Analytics helps you train and apply predictive models in SAP HANA and also easily embed predictive models into your applications and score your data in real time.
- Native Spark Modeling: In our latest installment we learn how SAP Predictive Analytics helps you to delegate the predictive modeling processing to Spark on Hadoop and avoid time-consuming data transfer between the predictive engine and the data source.
We will continue to add useful bite-size predictive videos using the SAP Predictive Analytics Suite. Please check back in to SCN or to the Analytics Solutions from SAP YouTube channel for more videos: The Nuts & Bolts of SAP Predictive Analytics - YouTube