Analytics Database Maintenance (Cannot be executed by Segment)

Updates the optimizer statistics.

Analytics Purge

Reduces storage needs and improves performance by removing data from the Performance Analytics and Intelligence database. There are two system properties that need to be set for this process:

AWS Zeppelin Start

This process starts the Zeppelin and SFTP containers in Amazon Web Services (AWS). The containers incur hourly charges while they are running. Therefore, start the containers only when they are needed for processing or interacting with the notebooks and stop them when they are not needed to reduce costs.

AWS Zeppelin Stop

This process to stops the Zeppelin and SFTP containers in Amazon Web Services (AWS). The containers incur hourly charges while they are running. Therefore, start the containers only when they are needed for processing or interacting with the notebooks and stop them when they are not needed to reduce costs.

Correlated Parts Intelligence

This process runs this machine learning functionality for Correlated Parts Intelligence.. The process includes running all Intellicus ETL objects, calculation logic and dashboard objects for Correlated Parts Intelligence.

General Analytics Data Loader (Cannot be executed by Segment)

Loads static data needed for Analytics from the Servigistics database into the Performance Analytics and Intelligence database. This data is used by the Forecast Analytics Generator and Planning Analytics Generator AutoPilot processes.

Forecast Accuracy Intelligence

This process runs this machine learning functionality for Forecast Accuracy Intelligence. This process includes running all Intellicus ETL objects, calculation logic and dashboard objects for Forecast Accuracy Intelligence.

Forecast Analytics Generator (Cannot be executed by Segment)

Loads the Forecast related data from the Servigistics database into the Performance Analytics and Intelligence database. The data is processed by Performance Analytics and Intelligence to create tables for Intellicus.

Machine Learning Forecasting

This process runs the machine learning functionality for Machine Learning Forecasting. This process includes running all Intellicus ETL objects, calculation logic and dashboard objects in this functionality. It generate forecast using advanced machine learning and deep learning methods for SKUs. Normally, this functionality should be run on a few exceptionally high error SKUs to see if the forecast can be improved. The improved forecast can be exported, converted into the right format and then imported back into Servigistics.

Mean Time Between Failure

This process runs the Machine learning functionality with which we are able to predict the MTBF for newly introduced parts. This process includes running all Intellicus ETL objects, calculation logic and dashboard objects in this functionality.

New Part Introduction Forecasting

This process generates the NPI forecast.

Planning Analytics Generator (Cannot be executed by Segment)

Loads the Order Planning and Inventory Optimization related data from the Servigistics database into the Performance Analytics and Intelligence database. The data is processed by Performance Analytics and Intelligence to create tables for Intellicus.