The image shows the business processes involved in using the Retail lakehouse to
evaluate customers' behavior and sentiment toward various enticements of your loyalty
program. It is divided into three components:
- Business systems
- Data Lakehouse on OCI
- Business applications and processes
Business systems include:
- Any operational database
- Any application
- Any cloud
- Any events or sensors
Specifically, these systems are:
- Enterprise resource planning (ERP) apps
- Merchandising apps
- Supply chain management (SMC) apps
- Point of Sales (POS) systems
- Warehouse management systems (WMS)
- Demand planning apps
- Human Capital Management (HCM) apps
- Customer support apps
- Customer experience (CX) apps
- Third party apps
- Logistics and fulfillment apps
- Loyalty and reward programs
- Marketing interactions
- E-Commerce click-streams
- Weather
- Internet of Things (IoT) apps
These systems use these structured, semi-structured, and unstructured data types.
The data collected by the business systems is passed to the Data Lakehouse on OCI, which
is used for pervasive AI for automation, data prep, and prediction. It follows this
cycle:
- Managed open source services pass data to the data warehouse.
- The data warehouse then passes the data to a data definition and discovery
phase.
- From the discovery phase, data is directed in the an AI/machine learning
phase.
- From the AI/ML phase, data travels through a data movement phase back to the
managed open source services, where the cycle restarts.
Finally, data is consumed by desired business applications and processes:
- Analytics and visualizaton services
- Machine learning and data science
These services handle these tasks:\
- Order fulfillment
- Manage recalls
- Reverse logistics
- Product assortment
- Personalized offers
- Employee retention
- Customer lifetime value (LTV)